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Dev Team Kit

🇧🇷 Versão em Português · 🌎 English version

Dev Team Kit — 50 Specialist Skills for Coding Agents

Version Skills Plugin License

A complete team of software specialists inside your coding agent.
Every task is routed to the right specialist, run on the right model, and shipped at production quality.

✨ What's new in v2.22-v2.25

Version Highlight Where
v2.37.0 7-ebook absorption (Casa do Código) — only the real gap became a new skill: skill 51 ux-research (qualitative discovery — user interview, research-based persona, journey map, usability testing, information architecture; sits before PO 01 and UI/UX 02). The rest became surgical increments: 3 XP policies (pair-programming, continuous-integration, sustainable-pace, wired to skill 37); skill 01 gains a Business Foundation section (hypothesis validation, MVP, monetization, AARRR, product-market fit — from Guia da Startup); skill 14 gains Keyword Research (KEI, intent, long-tail) + Off-Page/Link Building; skill 07 gains Infrastructure as Code (declarative provisioning, idempotency, drift — DevOps principles mapped to Terraform/Ansible); skill 38 gains cohesion/coupling, distributed-seam (REST/async/RPC, HATEOAS) and layer lenses. HTML5 Canvas game-dev dropped (niche <2%). skills/51-ux-research/SKILL.md, policies/pair-programming.md
v2.36.0 Skill 50 direct-response-copy — direct response copywriting distilled from 3 classic PT-BR copy ebooks: headline formula library in 20 trigger categories (357 models distilled into parameterized formulas), the 8 mental triggers + sales storytelling structure, Instagram caption/engagement copy. Hard integrity gate: no unverifiable claims, no fabricated testimonials, real scarcity only. Complements skill 13 (product copy) — 13 covers landing/microcopy/brand voice, 50 covers ads/sales pages/email/social. skills/50-direct-response-copy/SKILL.md, skills/50-direct-response-copy/references/headline-formulas.md
v2.29.0 Claim verifier + context hygiene — two PostToolUse/UserPromptSubmit hooks: (1) claim-verifier detects output with unverified result claims ("email sent", "deploy OK", "tests passed", "migration ran") and injects the specific command to verify before asserting — passes free if inline evidence present (exit code 0, HTTP 200, query result); (2) context-turn-counter suggests /compact every 25 turns and recommends full session handoff at 50 turns (save to D:\claude-memory\logs\, open new session with resumption prompt). New policy: claim-verification.md. Two new GLOBAL.md defaults: "verify before asserting" + "compact proactively". hooks/scripts/claim-verifier.mjs, hooks/scripts/context-turn-counter.mjs, policies/claim-verification.md
v2.28.0 SDD absorption from Medium articles — 3 additions inspired by "Spec-Driven Development with AI Coding Agents" + "Claude Code plugins" articles: (1) /spec-kit unified SDD pipeline (specify→plan→tasks→implement with explicit checkpoints + inline Adversarial Verifier); (2) /swarm upgraded with Phase 3 Adversarial Verify (Implementor vs Verifier with opposing goals — verifier tries to refute, spec updated in real-time from gaps found); (3) /insights usage-based recommendations (reads hook telemetry JSONLs — gate decisions, investigate-first blocks, tool repetitions — recommends what to calibrate). commands/spec-kit.md, commands/insights.md, commands/swarm.md
v2.27.0 Investigate-first guard — a principle with active enforcement: the AI must never ask the user something it can discover itself. New PreToolUse hook intercepts AskUserQuestion, detects self-discoverable questions (github user, gh logged-in, branch, package manager, port, runtime version, stack, MCP account) and tells the model to run the command first (gh auth status, git config, Glob lockfile, MCP whoami) instead of interrupting. Doesn't block — educates. Conservative: preference/intent/trade-off questions pass through. 10/10 discoverable patterns caught, 5/5 legit questions pass. policies/investigate-first.md, hooks/scripts/investigate-first-guard.mjs
v2.26.0 ECC absorption (round 2)silent-failure-hunter (16th subagent, review-only: hunts empty catch{}, swallowed errors, dangerous fallbacks, lost stack traces, missing rollback) + skill 49 context-budget (audits loaded context weight per component, headroom + overflow alerts; distinct from cost-tracker which tracks runtime completions) + /context-budget command. Full count-drift reconciliation across all 8 doc locations. agents/silent-failure-hunter.md, skills/49-context-budget/SKILL.md
v2.25.0 Path-scoped rules system (.claude/rules/ with paths: glob — the harness attaches a coding standard only when an edited file matches, common+language layering, inspired by ECC) + debt paydown: fixed the subagent-allowlist bug (15th subagent anti-ai-writing was missing from the enumerated allowlist), reconciled pervasive count drift, and rewrote the 5 stub skills (19/21/22/24/27) with real depth. rules/, policies/rules-system.md
v2.24.0 Memory curator goes autonomous — the agent prunes its own memory without asking. Async on SessionStart, it does decay/archive/dedup in pure JS (zero LLM) and delegates only the semantic merge work to the already-present session agent (no forked claude -p = no double billing). hooks/scripts/memory-curator.mjs, policies/memory-curator.md
v2.23.0 Curated absorption from addozhang — skill 48 research-prep, Spring Boot 2→3 migration playbook (skill 23), mem9 memory patterns in session-start + skill 08. skills/48-research-prep/SKILL.md, skills/23-migration-refactor-specialist/playbooks/spring-boot-2-to-3.md
v2.22.0 Memory curator (first cut) — inactivity-triggered Stop hook that suggested /consolidate-memory. Superseded by the autonomous curator in v2.24.0. policies/memory-curator.md
v2.21.0 Context-cost guards — automates the 9 plan-saving tactics. topic-shift-detector suggests /clear when you switch subjects; session-start warns about a bloated CLAUDE.md (>200 lines) + project MCPs. Conservative sensors (precision > coverage). hooks/scripts/topic-shift-detector.mjs, policies/token-efficiency.md
v2.20.0 Skill 47 pattern-conformity — detects and codifies existing codebase coding patterns (naming, file structure, error handling, testing style, async, DI, API design) into memory/patterns.md. New code is gated against it. 46/46 eval-triggers PASS. skills/47-pattern-conformity/SKILL.md, evals/triggers/47-pattern-conformity.json
v2.19.1 Polish pass: bugs in skill-health.mjs (multiline YAML parser), 9 cross-section overlaps refined, 4 commands got frontmatter. Clean portfolio: 0 overlaps, 0 dead policies, 100% fixture coverage, 45/45 eval-triggers PASS. scripts/skill-health.mjs, docs/skill-health.md
v2.19.0 Curated absorption from ECC/gstack/mattpocock/ruflo — 3 new skills (zoom-out, handoff-context, post-deploy-canary-monitor), 6 commands (instinct-export/import/promote, multi-plan, aside, skill-health), policies/boil-the-lake.md, truth-score in verification + stream-chain in programs-schema. docs/plans/2026-05-27-v2.19.0-absorption-plan.md, docs/inspiration/ruflo-evaluation.md
v2.18.0 Interactive web dashboard: 6 tabs (Graph, Bench, Savings, Drift, Skill Quality, Trigger Eval). Zero-build, zero-dep, single-file HTML + CDN. docs/preview/dashboard.html, scripts/build-dashboard.mjs
v2.17.0 /diff-impact (ripple analysis) + graph auto-update hook (PostToolUse regenerates graphify-out after Edit/Write). commands/diff-impact.md, scripts/diff-impact.mjs

How to use: see docs/quickstart.md for the 4 common scenarios (CLI image generation, swarm with automatic generation, template bootstrap, runtime adapter).


📖 Full Wiki — recommended starting point

Language Link
🌎 English docs/WIKI.md
🇧🇷 Português docs/WIKI.pt-BR.md

Every skill, subagent, command, policy, plugin and MCP tool documented — in the format of aihero.dev's "5 Agent Skills I Use Every Day".


📊 Quality Bench — measured results, not marketing claims

We tested every skill and subagent with a published rubric. 53 isolation scenarios + 3 end-to-end tests. Same model, same prompt — with and without the kit. Numbers are measured, code is real, results are auditable.

Language Link Highlights
🌎 English analyze-doc/index.en.html 92.6% pass rate · +1.84 avg delta · 53/53 E2E green
🇧🇷 Português analyze-doc/index.pt-BR.html Mesmo relatório em PT-BR

Includes before/after with full output text, per-skill delta scores, process-based test results, and v2.10.1 fix verification. Methodology in eval-bench/.


Why It Matters (For Anyone)

If you use AI to build product — whether you're an experienced dev, an indie hacker shipping SaaS, or someone who only knows how to describe what they want — this kit changes the game. In plain language, here's what it does:

💰 Saves your API bill (up to 70%)

AI loves to read everything: the entire output of an npm install, repeated stack traces, huge file lists. All of that turns into tokens, which turn into money. The kit automatically compresses that noise before sending it to the model — you only pay for what matters.

🧠 Understands what you want before it starts coding

Instead of a generic agent that "guesses" the implementation, the kit has an orchestrator that reads your request, classifies the complexity, and assembles the minimum sufficient pipeline. If you're vague, it asks. If you're clear, it runs. It never makes things up.

🗂️ Persistent memory across sessions

Most agents forget everything when you close the window. This one remembers: what you decided, which files matter, the patterns your project follows, the bugs that came up before. Result: less rework, fewer tokens spent re-contextualizing, and far sharper answers each session.

🤖 Autonomous mode — fire and forget

Hand off a complex task with /auto or /loop and go grab a coffee. The agent runs, tests, fixes, validates and only stops when it's ready, working and tested. There's a safety circuit: if it gets stuck on the same error 3 times, it detects and warns — no burning API for nothing.

🖼️ Professional image generation, no placeholders

Landing page with a gray "image here" box? Never again. The kit integrates fal.ai with prompts written by a generative-AI specialist — you describe the scene, the system translates it into a technical prompt, and delivers production-ready images. Illustrations, hero images, icons, mockups, all consistent with your brand.

🔒 Security before deploy, not after the leak

A security auditor thinks like an attacker and reviews the code before it reaches production. Critical findings come with a proof of concept. No more discovering vulnerabilities on the customer's account.

🧪 Tests that actually prove it works

A QA engineer that follows the "prove-it" principle: if you say it works, prove it with a test. No "looks ok". Covers happy path, failure paths, edge cases and regressions.

🎨 Design and copy that sell

  • Designer with competitive analysis: looks at competitors and recommends what converts
  • Copywriter specialized in marketing: ready-to-ship copy for landing pages, email, ads
  • SEO that optimizes before Google indexes — your site is born findable

🚀 From zero to deploy without hiring 5 freelancers

Backend, frontend, mobile (Tauri), observability, analytics, accessibility (WCAG), refactoring, release, canary deployments (v2.12+), documentation — 48 specialists in total (numeric IDs run 01–48; ID 16 was deprecated and the number is reserved, so 47 physical skill files). Each task goes to the right professional, on the right AI model (Haiku for simple, Sonnet for medium, Opus for architecture) — you don't pay Opus to generate boilerplate.

🔌 Works with everything you already use

Native Claude Code plugin + universal MCP server that runs in Cursor, Windsurf, Copilot, Gemini CLI and any MCP-compatible agent. Zero vendor lock-in. Switched tools? Your team comes with you.

🆓 Free, Apache-2.0, open source

No subscription. No trial. No hidden premium tier. Clone it, install it, use it forever — including in commercial projects. Apache-2.0 with a NOTICE file enforces attribution downstream: anyone repackaging the kit must preserve credit to the people whose ideas shaped it.


What It Is

The Dev Team Kit is a set of 48 specialized skills that turns any compatible coding agent into a complete development team — with orchestrator, backend, frontend, QA, security, deploy, design, copy, SEO, observability, blog publishing automation and more.

What you get:

  • Structured pipeline — every task goes through the right steps, in the right order, no improvising
  • QA, Security and Reviewer mandatory — no delivery ships without validation
  • Automatic model routing — haiku for boilerplate, sonnet for implementation, opus for architecture
  • Lifecycle hooks — the agent detects vague context, re-reads files before editing, monitors token cost
  • Built-in MCP server — 37 tools exposed for any MCP client
  • Persistent memory — working set, context pack, learned skills with confidence scoring accumulated per project
  • Multi-platform install — Claude Code, Cursor, Windsurf, Copilot, Gemini CLI and more

Built on Context Engineering principles

The kit's architecture maps to the context engineering hierarchy: individual skills are atoms, templates are molecules, learned-skills + working-set are cells, dispatched subagents are organs, and protocol-shell-composed programs are the emergent field layer. New in v1.1: typed protocol shells for 3 pilot subagents, I/O schemas in schemas/skill-io/, iteration scoring in the auto-loop circuit breaker, and declarative programs/ definitions. See docs/WIKI.md → Context Engineering Stack.

5-min tour: docs/SKILLS-OVERVIEW.md — every skill, mode, subagent and policy in one navigable page (aihero.dev format).


Quick Install

Mode 1 — Global Plugin (Claude Code)

Installs the 50 skills and hooks globally. Works in any project with no extra configuration.

# Via Claude Code CLI
claude plugin install https://github.com/felvieira/claude-skills-fv

What gets installed globally: skills, hooks, commands (/audit-repo, /devkit-install-fv, /plan-feature, /review-release, /inventory-assets).

Mode 2 — Full Kit Per Repo (via command)

With the plugin installed, run inside the repo you want to configure:

/devkit-install-fv

This installs the full .bot/: MCP server, policies, templates, docs, hooks, learned-skills and multi-platform configs.

Mode 3 — Direct Bash

git clone https://github.com/felvieira/claude-skills-fv /tmp/dev-team-kit
bash /tmp/dev-team-kit/setup/install.sh /path/to/project

If the kit is already in .bot/, you can also run directly from the installed repo:

bash .bot/setup/install.sh

The installer ships setup/ and every kit directory under .bot/. Supports non-interactive profile flags:

  • --profile lean — installs without MCP and heavy scripts
  • --no-input — no prompts, uses defaults
  • --yes — accepts everything automatically

In the table below, treat dev-team-kit as 37 tools backed by the 50 skills. The MCP exposes 37 tools backed by the installed skills.

Install Modes Compared

What gets installed Global Plugin /devkit-install-fv Direct Bash
50 skills
Hooks (lifecycle)
Slash commands
Policies
MCP server (37 tools)
Handoff templates
Docs + repo-audit
Multi-platform configs
Learned skills per project

Supported Platforms

Platform Skills Hooks MCP Slash Commands Notes
Claude Code full support — native plugin
Cursor ✅ via .bot/ skills via AGENTS.md, MCP via config
Windsurf ✅ via .bot/ skills via rules, MCP via .windsurf/mcp.json
GitHub Copilot ✅ via .bot/ skills via .github/copilot-instructions.md
Gemini CLI ✅ via .bot/ skills via GEMINI.md, MCP via .gemini/settings.json
OpenCode ✅ via .bot/ skills via AGENTS.md
Antigravity ✅ via .bot/ skills via local config

For platforms without native hooks, the same rules live in policies/hooks.md — the agent applies them manually.


The 48 Specialists

Management and Coordination

# Skill What it does
08 Context Manager tracks focus, open tasks, hot files and handoffs across sessions
09 Orchestrator defines the minimum sufficient pipeline, delegates to specialists, adapts on rejection
10 Documenter records decisions, API contracts, operations and impacts in living docs
11 Reviewer validates the final delta before release — quality, scope and risk
17 Image Generator generates and adapts visual assets via fal.ai with t2i, i2i, rembg and Tauri icons support
18 Repo Auditor full snapshot of the repo — stack, conventions, risks, entry points and tech debt
19 Asset Librarian catalogs logos, icons, fonts, visual tokens and reusable assets
20 Observability SRE defines structured logs, metrics, tracing, alerts and rollback plan
21 Data Analytics defines tracking events, naming, funnels and product KPIs
22 Accessibility Specialist reviews WCAG 2.2, keyboard navigation, HTML semantics and motion reduction
23 Migration & Refactor Specialist runs incremental migrations, feature flags and safe rollback
24 Release Manager organizes changelog, release notes, versioning and gradual rollout
25 AI Integration Architect designs AI adapters, gateways, streaming, fallbacks and inference cost
26 Prompt Engineer writes and iterates prompts, reusable templates and few-shot strategies
27 Video Integration Specialist integrates generative video with focus on UX, latency and output formats
28 CLAUDE.md Generator generates a smart CLAUDE.md for projects consuming the kit
30 Cost Tracker tracks token cost and API calls per session, per skill and per model tier
31 Session Summary consolidates a session summary for clean handoff between long sessions
32 Smart Suggestions suggests the next most impactful action based on the project's real state
33 Detective Spec reverse-engineers executable specs from legacy code — modules, business rules, flows, retroactive ADRs, zero writes outside _detective_sdd/
35 Skill Author meta-skill to create, edit, eval and optimize the kit's own skills — sustains the kit as it grows past 48 specialists
38 Architecture Deepener finds deepening opportunities (deletion test, deep modules) using domain glossary + architecture vocabulary; pairs with skill 23 (Migration & Refactor) for execution
39 Program Router decides which programs/*.yml pipeline to run from task classification — works alongside the orchestrator (ad-hoc) and the intent-classifier hook (suggestion)
40 Parallel Dispatcher fans out N independent slices/reviews to subagents correctly, avoiding the skill-vs-agent trap; scatter-gather with worktree isolation
44 Zoom Out builds a module map and topology of the codebase — complements smart-suggestions with a structural bird's-eye view
45 Handoff Context prospective handoff between sessions/agents — packages what the next session needs to continue without re-deriving context

Product and Design

# Skill What it does
01 PO writes spec, user stories, acceptance criteria and sets priority
02 UI/UX Designer defines layout, token system, responsiveness and usage heuristics
29 Design Intelligence researches competitors, captures screenshots, analyzes visual trends and ships a strategic dossier for UI/UX
36 Web Asset Generator favicons (multi-size), PWA icons (incl. maskable), Open Graph and Twitter card images, manifest and meta tag snippets — derived from a logo or brand text

Development

# Skill What it does
03 Backend Engineer REST/GraphQL APIs, contracts, auth, validation, database and integrations
04 Frontend Engineer React/Next.js, state, API calls, performance and app experience
12 Motion Designer animations, transitions, micro-interactions and coherent visual behavior
15 Mobile / Tauri optional extension for desktop and mobile apps with Tauri + React Native
47 Pattern Conformity detects and codifies an existing codebase's coding conventions (naming, structure, error handling, testing, async, DI, API design) into memory/patterns.md so new code matches house style

Content and Discovery

# Skill What it does
13 Marketing Copy product copy, CTAs, landing pages, brand voice and conversion messaging
14 SEO Specialist metadata, schema.org, Core Web Vitals, sitemap and discoverability
48 Research Prep multi-source technical research before writing docs/PRDs/ADRs/articles — official docs + GitHub + Stack Overflow + papers, scored by authority, output to memory/research/<slug>.md; feeds skills 10, 01, 26, 41
49 Context Budget audits loaded context weight (skills, agents, MCP descriptions, rules, CLAUDE.md) — estimates tokens per component, headroom available and overflow alerts. Distinct from skill 30 (cost-tracker) which tracks runtime completion costs

Quality and Delivery

# Skill What it does
05 QA Engineer unit, integration, E2E tests, coverage and critical edge cases
06 Security Reviewer OWASP Top 10, headers, CORS, CSRF, XSS, injection and data exposure
34 Static Analysis automated security and bug scan via Semgrep + CodeQL with SARIF output, severity triage and CI integration — feeds findings to skill 06
37 TDD Engineer red-green-refactor enforced; combats horizontal slicing anti-pattern (writing all tests before all impl); 1 test → 1 impl → repeat. Pairs with skill 38 for deep module identification
07 Deploy Engineer containerization, CI/CD, blue-green rollout, rollback and infra as code

Publishing and Automation (v2.11.0+)

# Skill What it does
41 Blog Publisher composer skill — receives text/topic → writes HTML post → generates images (via skill 17 fal.ai or skill 42 Playwright) → commits/pushes to your blog repo → returns public URL. Multi-user via ~/.dev-team-kit/blog-config.json.
42 Blog Screenshot Playwright-based capture for posts: viewports per destination (cover/hero/mobile), cookie banner removal, FOUT prevention, naming convention compatible with skill 41
43 Canary Deployment gradual rollout (1%/10%/50%/100%) + 7-metric watch + automatic rollback. 3 strategies (traffic-based, feature flag, blue-green). Sits between skill 24 (release-manager) and skill 07 (deploy-docker). v2.12.0.
46 Post-Deploy Canary Monitor continuous post-100% monitoring after a canary completes — watches error budget, latency and anomaly signals, opens a postmortem trigger on regression

Setup (one-time per user):

# Create your blog repo + GitHub Pages + config
node scripts/init-blog-repo.mjs \
  --path=/abs/path/to/blog \
  --user=<github-username> \
  --repo=blog \
  --create-github

# Then in any Claude Code session:
# "publica um post sobre <topic>"  → skill 41 takes it from there

The init script creates ~/.dev-team-kit/blog-config.json so the skill knows where to publish. See scripts/init-blog-repo.mjs and templates/blog/ for details.


Main Pipeline

flowchart LR
    A[Task] --> B[Orchestrator 09]
    B --> C[Context Manager 08]
    B --> D[Minimum sufficient pipeline]
    D --> E[Specialists 01–48]
    E --> F[QA 05 + Security 06 + Reviewer 11]
    F --> G[Deploy 07 or Release 24]
    B --> H[Model routing per step]
Loading

Common Pipelines

Task type Pipeline
Full feature PO → UI/UX → Backend → Frontend → Motion → Copy → SEO → QA → Security → Reviewer → Deploy
Bug fix Backend → QA → Security → Reviewer → Deploy
Critical hotfix Backend → Security → Reviewer → Deploy
UI improvement UI/UX → Frontend → Motion → QA → Security → Reviewer → Deploy
Landing page Copy → Design Intelligence → UI/UX → Frontend → SEO → QA → Reviewer
AI integration Repo Auditor → AI Architect → Prompt Engineer → Backend → Observability → QA → Security → Reviewer
Formal release Reviewer → Observability SRE → Release Manager → Deploy

Model Routing — Right Model for Each Step

Tier Model When to use
Fast haiku boilerplate, rename, microcopy, templates, formatting
Balanced sonnet implementation, tests, debug, integration, design
Deep opus architecture, security review, orchestration, critical decisions

Automatic enforcement (Claude Code):

  • EnterPlanMode → hook suggests /model opus
  • ExitPlanMode → hook suggests /model sonnet
  • Subagent without explicit model → hook warns and suggests tier by keywords

On other environments: follow policies/model-routing.md manually.


Hook System — Intelligence on Lifecycle Events

Hook Event What it does Profile
pre-execution-gate UserPromptSubmit detects vague prompt and confirms before acting standard, strict
keyword-detector UserPromptSubmit injects relevant skill or learned skill automatically standard, strict
context-guard-stop Stop warns at 50% (non-blocking) and blocks at 75% with smart summary all
persistent-mode Stop blocks stop while a pipeline is active all
pre-tool-enforcer PreToolUse re-reads before editing, suggests code intelligence tools all
investigate-first-guard PreToolUse intercepts AskUserQuestion, blocks self-discoverable questions (github user, branch, package manager, port…) and tells the model to run the command first standard, strict
session-start SessionStart restores state from previous session and injects skill-discovery standard, strict
post-tool-verifier PostToolUse detects debugging patterns, suggests extracting a learned skill standard, strict
model-routing-hook PreToolUse suggests model swap on plan mode and validates subagent spawns standard, strict
simplify-ignore PreToolUse + PostToolUse protects simplify-ignore-start/end blocks from auto-simplification standard, strict
claim-verifier PostToolUse detects unverified result claims ("email sent", "deploy OK", "tests passed") — passes free if there's exit code 0 / HTTP 200 / query result standard, strict
context-turn-counter UserPromptSubmit suggests /compact every 25 turns, intelligent handoff at 50 using the memory vault standard, strict
pre-build-gate UserPromptSubmit detects creation intent and injects the "decide before you code" checklist per discipline (acceptance / api-contract / schema / ui-design / deploy) — brings the /auto phase gates to passive mode standard, strict
auto-skillify UserPromptSubmit every 20 turns, asks whether recent activity is worth a learned-skill (3 criteria) — codification cadence, absorbed from hivemind standard, strict
topic-shift-detector UserPromptSubmit warns when the subject changed (infra→data) so the old topic doesn't inflate token cost silently standard, strict
intent-classifier UserPromptSubmit classifies prompt intent to route enrichment standard, strict
memory-curator SessionStart (async) autonomous vault maintenance: decay/archive/dedup in pure JS, delegates the semantic part to the present agent standard, strict
session-event-logger multiple telemetry of hook events to .bot/*.jsonl for /insights standard, strict

27 hook scripts total in hooks/scripts/ — the table above lists the user-facing ones. Toggle any via DEVKIT_DISABLED_HOOKS or the minimal profile.

Hook Profiles

Controlled by the env variable DEVKIT_HOOK_PROFILE (default: standard):

Profile Active hooks
minimal context-guard-stop, persistent-mode, pre-tool-enforcer
standard all
strict all
  • DEVKIT_HOOK_PROFILE — sets the active profile (minimal, standard or strict)
  • DEVKIT_DISABLED_HOOKS — comma-separated list of hookIds to disable regardless of profile

Context Guard — Strategic Compact

The context-guard-stop hook operates on two levels:

  • 50% — non-blocking warning: suggests /compact while there's still margin
  • 75% — smart block: shows current task hint, files edited in the session and decisions from the working set before blocking

Subagents — Specialists Dispatchable via the Task Tool

The kit ships 16 Claude Code subagents in .claude/agents/, ready to dispatch with the Task tool or invoke from the prompt.

Core (5)

Subagent When to use Tools
code-reviewer PR review, finished feature or any code before merge Read, Grep, Glob, Bash
security-auditor Auth flows, input handling, deps, CORS, headers, pre-deploy Read, Grep, Glob, Bash
test-engineer Write tests, fill coverage gaps, validate regressions Read, Grep, Glob, Bash, Edit, Write
orchestrator Classify a complex task, build pipeline, resolve skill overlap all
debugger Bug, unexpected behavior, failure you can't explain — uses Evidence Ledger + anti-rationalization table Read, Grep, Glob, Bash, Edit

Detective Spec (4) — phases of /detective-spec

Subagent When to use Tools
detective-contracts Phase 2: extract module contracts (API, deps, invariants, consumers) from legacy code — read-only Read, Grep, Glob, Bash
detective-business-rules Phase 3: extract hidden business rules from validations, magic constants, state transitions, tests — read-only Read, Grep, Glob, Bash
detective-flows Phase 4: reconstruct end-to-end flows (entry → side effects) with edge cases and mutated state — read-only Read, Grep, Glob, Bash
detective-adrs Phase 5: infer retroactive ADRs and synthesize overview + traceability — read-only Read, Grep, Glob, Bash

Static Analysis (5) — pipeline of skill 34

Subagent When to use Tools
semgrep-scanner Multi-language repo: parallel Semgrep scans by language category, aggregate SARIF Read, Grep, Glob, Bash
semgrep-triager >20 findings batch: classify TP/FP/needs-investigation reading source context, propose fixes Read, Grep, Glob, Write
codeql-runner Bug needs interprocedural taint tracking: orchestrate CodeQL database build + queries Read, Grep, Glob, Bash
sarif-parsing Multiple SARIF sources: parse, dedup, aggregate into single report (Semgrep + CodeQL + others) Read, Glob, Bash, Write
variant-analysis Confirmed bug → hunt variants of same pattern, generate reusable custom rule for CI Read, Grep, Glob, Bash, Write

Content (1)

Subagent When to use Tools
anti-ai-writing New prose entering the repo: detects the 29 AI-generated writing patterns in docs, PRDs, copy, changelogs Read, Grep, Glob, Write

Quality (1)

Subagent When to use Tools
silent-failure-hunter Review-only: hunts silent failures — empty catch{}, .catch(() => []), lost stack traces, fallbacks that hide failure, missing rollback Read, Grep, Glob, Bash

Invocation example:

Dispatch the code-reviewer subagent to review changes in src/auth/login.ts
Use the debugger subagent to investigate the crash TypeError: Cannot read properties of undefined in api/users.ts

Subagents are copied to the consuming repo's .claude/agents/ by install.sh. See docs/skill-guides/subagents.md for the full guide on when to use each.


MCP Server — 36 Tools for Any MCP Client

{
  "mcpServers": {
    "dev-team-kit": {
      "command": "node",
      "args": [".bot/mcp-server/dist/index.js"],
      "env": {
        "FAL_KEY": "fal-...",
        "BRAVE_SEARCH_KEY": "BSA...",
        "FIRECRAWL_KEY": "fc-..."
      }
    }
  }
}

Works in Claude Code, Windsurf, Gemini CLI, Cursor and any MCP client.

Block Tools Examples
Knowledge 14 classify task, build pipeline, summarize diff, build context pack
Execution 6 competitor search (Brave), scraping (Playwright/Firecrawl), image generation (fal.ai)
Persistence 12 save context, working set, cost, learned skills and session guardrails
Session Intelligence 4 compress verbose output, read session JSONL log, list seen files/errors

See mcp-server/README.md for full tool documentation.


API Keys Required

Key What it's for Where to get it
FAL_KEY image generation (skill 17, MCP moodboards) fal.ai/dashboard/keys
BRAVE_SEARCH_KEY competitor research (skill 29, MCP) brave.com/search/api
FIRECRAWL_KEY advanced scraping (optional) firecrawl.dev

The installer prompts for each key and saves them in the project's .env.local.


Daily Ergonomics

  • read docs/quickstart.md to get into the flow fast
  • reuse docs/repo-audit/current.md before exploring the repo
  • use devkit_context_pack to start a task without re-reading half the repo
  • use devkit_diff_brief to resume work or prep a review
  • use devkit_working_set to persist hot files and next steps
  • use commands/ as operational shortcuts
  • consult docs/skill-call-matrix.md when there's overlap between skills
  • consult docs/skill-guides/ only on demand
  • consult docs/skill-guides/ideation-frameworks.md — SCAMPER, HMW, First Principles, JTBD for the ideation phase
  • consult docs/skill-guides/skill-discovery.md — decision tree to pick the right skill per task type
  • consult docs/skill-guides/context-engineering.md — context hierarchy, trust levels and packing strategies
  • consult docs/skill-guides/autonomous-loop.md/auto protocol for autonomous execution

Slash Commands — Shortcuts by Development Phase

Command What it does Skills activated
/spec Spec a feature with acceptance criteria PO (01)
/plan Classify task and build pipeline Orchestrator (09)
/build Implement with the project stack Backend (03) + Frontend (04)
/test Write and run tests QA (05)
/review Final review + security audit Reviewer (11) + Security (06)
/simplify Simplify and refactor code Migration & Refactor (23)
/ship Release and deploy Release Manager (24) + Deploy (07)
/pipeline Full end-to-end pipeline Orchestrator (09) → all
/best Best practices, clean code and DRY audit Reviewer (11) + Security (06) + QA (05)
/auto Autonomous agent — runs full task without intervention All needed + circuit breaker
/loop Multi-agent autonomous orchestrator (auto-loop v2) — claude + codex, parallel via worktree, polishing pass scripts/auto-loop/
/worktree Creates isolated git worktree, copies .env*, validates env in background
/detective-spec Reverse-engineer specs from a legacy codebase — extracts contracts without touching the code Detective Spec (33)
/grill-me Relentless interrogation of an idea/plan — one question + suggested answer per turn PO (01) Deep Interview
/to-prd Convert current conversation into a PRD published in the issue tracker (label needs-triage) PO (01) PRD mode
/to-issues Break PRD into N independent issues (vertical slices) and publish to tracker Orchestrator (09) + vertical-slices
/pipeline-discovery FULL discovery flow: grill-me → to-prd → to-issues → loop+TDD → ship Orchestrator (09) coordinated, all skills
/constitution Bootstrap/update memory/constitution.md with governing principles (Code Quality, Testing, UX, Performance, Security) — hierarchical authority over PRD/plan/ADRs PO (01) governance mode
/checklist Generate contextual checklist per feature ("unit tests for English") — Completeness, Clarity, Consistency, Coverage, Edge Cases PO (01) + validation
/analyze Cross-artifact consistency check (read-only) — constitution → specs → plan → issues. Findings classified CRITICAL/HIGH/MEDIUM/LOW Reviewer (11) audit mode
/humanize Remove 29 AI writing patterns from any prose (docs, PRDs, copy, changelogs). Self-audits before final version. Documenter (10) editor mode
/consolidate-memory Memory vault janitor — merge duplicates, archive stale, prune index. Snapshot-first safe workflow. Context Manager (08) janitor mode
/run-program Execute declarative YAML pipeline (programs/*.yml) with human gates, parallel/conditional steps, variable substitution Orchestrator (09) executor mode
/swarm TOTAL AUTONOMY: prompt → PR mergeable. Worktree isolado + Ralph loop (fresh context per story) + 4-agent parallel review + self-fix CRITICAL/HIGH + auto PR. v2.0.0 All skills coordinated

/loop — Auto-Loop v2 (Multi-Agent Orchestrator)

scripts/auto-loop/ is an autonomous orchestrator that ships tasks ready, working, polished and tested. Run it overnight, wake up to a PR ready to merge.

# Basic usage (single run, claude agent)
node scripts/auto-loop "your task here"

# Pick the agent
node scripts/auto-loop "task" --agent codex
node scripts/auto-loop "task" --agent claude

# Isolated worktree + parallel (3 tasks in 3 worktrees)
node scripts/auto-loop --worktree --parallel 3 -- "task A" -- "task B" -- "task C"

# Configurable polishing pass (default: standard)
node scripts/auto-loop "task" --polish=full

# Fine-grained control
node scripts/auto-loop "task" --max-tokens 200000 --stop-when "tests cover the new endpoint"

v2 features:

Feature Detail
Multi-agent adapters for claude --print and codex exec, common interface, swap via --agent
Integrated worktree creates <repo>-auto-worktrees/<slug>/ on branch auto/<slug>, preserved if committed
Parallel mode --worktree --parallel N runs N isolated runners, aggregates logs by run-id
Polishing pass --polish=none|light|standard|fullsimplify + review (+ security-review + test on full) before commit
Cross-OS prevent-sleep macOS caffeinate, Linux systemd-inhibit, Windows SetThreadExecutionState
JSONL debug log .auto/runs/<run-id>/debug.jsonl with full error.cause chain
Classified backoff permanent aborts, retryable exponential (60s→600s, 5x), agent-reported retries immediately
Graceful interrupt 1× Ctrl+C = finish iteration and exit clean, 2× = SIGKILL with rollback
Robust resume session.json with prompt/model/agent/branch — rerun asks update/new branch/quit
Token cap --max-tokens N aborts mid-run with clean commit if valid
Stop-when --stop-when "<condition>" — agent reports `STOP_WHEN_MET: true

Circuit breaker: same error 3x, stall (3 iterations without git diff), budget exhausted, or task blocked — stops automatically.

Exit codes: 0 ok / 1 usage / 2 permanent error / 3 retryable exhausted / 4 breaker tripped / 5 stall / 6 token cap / 7 polish incomplete / 130 interrupted / 99 fatal.

Production-ready:

  • 21 smoke tests under scripts/tests/auto-loop/, all green. Run: node scripts/tests/auto-loop/run-all.mjs.
  • Cross-platform (macOS, Linux, Windows) — adapters spawn through the shell on Windows so npm-installed .cmd launchers resolve.
  • Each run writes .auto/runs/<runId>/status.json with {iterations, commits, exitCode, worktreePath, ...} for parallel parents and external tooling to consume.
  • Opt-in real-LLM smoke: node scripts/tests/auto-loop/smoke-real.mjs (manual, costs tokens).

What changed 2026-04-30 → 2026-05-01:

  • Initial v2 release on 04-30: multi-agent (claude + codex), integrated worktree, parallel mode, polishing pass, gnhf-inspired flags (--max-tokens, --stop-when, prevent-sleep, JSONL log, classified backoff, 2-stage Ctrl+C, robust resume), bilingual docs.
  • Gap fixes shipped 05-01: codex E2E test with fake CLI shim (zero tokens), polish skill-path verification + retry path test, runner+worktree integration test, status.json wired into parallel summary (was showing - placeholders), Windows portability fixes (gitDiffSinceBaseline no longer POSIX-only; adapters resolve .cmd/.bat launchers).
  • Tests: 17 → 21, all passing. Commands and exit codes unchanged.

Global Governance

  • GLOBAL.md is the highest instruction layer
  • policies/ standardize execution, risk, persistence, quality and evaluation
  • templates/ reduce variation in handoff, plan, review and rejection
  • policies/tool-safety.md — safe usage of write, network, MCP and external actions
  • policies/model-routing.md — model tiers, enforcement and integration with cost-tracker
  • policies/evals.md — minimum evidence for structural changes to the kit
  • policies/search-first.md — research mandatory before implementing (feature, bugfix, integration, refactor)
  • policies/iterative-retrieval.md — progressive retrieval in 3 rounds for delegated subagents and skills
  • policies/anti-rationalization.md — common rationalization tables + rebuttals per critical skill
  • policies/source-driven.md — mandatory source hierarchy for framework/lib decisions
  • policies/confusion-management.md — STOP-NAME-OPTIONS-WAIT protocol for detected confusion
  • policies/context-engineering.md — 5-level context hierarchy and 3 trust levels

Instruction Hierarchy

  1. GLOBAL.md
  2. policies/*.md
  3. skills/*/SKILL.md
  4. templates/*.md

Real Repo Structure

.
├── .claude/              ← slash commands (/spec, /plan, /build, /test, /review, /simplify, /ship, /pipeline, /best, /auto, /loop)
│   └── commands/
├── .claude-plugin/       ← Claude Code plugin manifest
│   └── plugin.json
├── .github/              ← CI workflows (validate-plugin, validate)
│   └── workflows/
├── AGENTS.md
├── CLAUDE.md
├── GLOBAL.md
├── README.md
├── commands/             ← slash commands (/audit-repo, /devkit-install-fv, ...)
├── docs/
│   ├── quickstart.md
│   ├── repo-audit/
│   ├── skill-guides/
│   └── skill-call-matrix.md
├── evals/
├── hooks/                ← lifecycle hooks for Claude Code
│   ├── hooks.json
│   ├── config.json
│   └── scripts/
├── mcp-server/           ← MCP server with 37 tools
├── patterns/ai-integration/
├── personas/             ← agent personas (code-reviewer, security-auditor, test-engineer)
├── policies/             ← model-routing, tool-safety, cost-optimization, evals
├── scripts/              ← generate-image.py and utilities
├── setup/                ← multi-platform install.sh
├── skills/               ← 48 specialists (*/SKILL.md)
├── src/                  ← reusable hooks, stores, components and middleware
└── templates/            ← handoff, plan, review, rejection

Installed Structure in the Consumer Repo

When installed via /devkit-install-fv or setup/install.sh:

consumer-repo/
├── AGENTS.md
├── CLAUDE.md
├── GEMINI.md
├── .claude/settings.json         ← hooks + MCP registered
├── .claude/commands/             ← slash commands (/spec, /plan, /build, /loop, ...)
├── .claude/agents/               ← subagents dispatchable via Task tool
├── .github/copilot-instructions.md
├── .windsurf/rules/dev-team-kit.md
├── .windsurf/mcp.json
├── .gemini/settings.json
└── .bot/
    ├── GLOBAL.md
    ├── commands/                 ← operational commands (/audit-repo, /devkit-install-fv, ...)
    ├── docs/                     ← skill-guides, repo-audit, quickstart
    ├── evals/
    ├── hooks/                    ← lifecycle hooks
    ├── learned-skills/           ← project-accumulated knowledge (score 0-1, weekly decay, auto-archived in .archive/ below 0.3)
    ├── mcp-server/               ← compiled and ready
    ├── patterns/ai-integration/
    ├── personas/                 ← code-reviewer, security-auditor, test-engineer
    ├── policies/
    ├── scripts/
    ├── setup/
    ├── skills/
    └── templates/

The consumer repo also receives .claude/commands/ (10 slash commands) at the root, installed by setup/install.sh.


Quick Validation

pytest scripts/tests -q
node scripts/check-consistency.mjs
cd mcp-server && npm run build
bash scripts/smoke-install.sh

Contributing

Want to add a skill, fix a bug or propose an improvement? See the full guide in CONTRIBUTING.md.

Quick summary:

  1. Create the skill in skills/NN-name/SKILL.md and register it in plugin.json
  2. For slash commands, add them to .claude/commands/ and register in plugin.json
  3. Run node scripts/check-consistency.mjs before committing
  4. Open a PR with an entry in CHANGELOG.md

Changelog

Full release history in CHANGELOG.md.

Version Date Highlights
v2.1.0 2026-05-20 Smart routing: hook intent-classifier v2 (regex expandido + opcional LLM Haiku), 9 novos patterns (bug/issue/refactor/test/spike/etc), telemetry em .swarm/classifier.jsonl. Novo program refactor-safely com baseline tests + behavior preservation. docs/USE-CASES.md mapeia 17 cenarios reais
v2.0.0 2026-05-20 MAJOR: /swarm mode — total autonomy: prompt → PR mergeable. Worktree isolado + Ralph loop (fresh context per story) + 4-agent parallel review + self-fix CRITICAL/HIGH + auto PR. In Autonomous mode, intent-classifier routes feature prompts to /swarm. Inspired by Ralph/fix-issue/comprehensive-review from coleam00/archon
v1.9.0 2026-05-20 Active mode now default. Hook auto-runs --dry-run to show plan, gates inside program still pause. Setup tutorial for Level 3 (Autonomous) added to README with safety checklist
v1.8.0 2026-05-20 Auto-orchestration — hook intent-classifier sugere program apropriado baseado em intent do prompt (sem usuário invocar slash); nova skill 39 (program-router); 4 níveis de autonomia configuráveis
v1.7.0 2026-05-20 Program Engine v2 — 6 novos primitives (prompt/bash/loop/context: fresh/provider+model/trigger_rule) + 2 programs avançados (adversarial-dev GAN-inspired, comprehensive-review 5-agent parallel). Absorvido de coleam00/archon
v1.6.0 2026-05-18 Executable YAML pipeline programs: /run-program slash command + 4 programs (pipeline-discovery, spec-driven-development, loop-polishing, detective-spec); schema with gates/parallel/conditional/vars; validator + planner scripts. From github/spec-kit workflows/ extended
v1.5.2 2026-05-16 Plugin layout for Claude Code 2.x autodiscovery: .claude/commands/commands/, .claude/agents/agents/, hooks/hooks.json converted, .mcp.json added
v1.5.1 2026-05-15 v1.5.0 doc gaps: version table, Acknowledgements (5 new sources), CONTRIBUTING policy checklist
v1.5.0 2026-05-15 Absorb 6 external skill patterns into the kit: MCP builder patterns, verification-before-completion, receiving-code-review, memory consolidation; /consolidate-memory command; skill 18 --recommend-automation mode; skill 28 audit mode
v1.4.2 2026-05-15 Humanize gaps: evals for /humanize, consistency check assert, quality-gate prose section, skill-author note
v1.4.1 2026-05-15 /humanize command + policies/anti-ai-writing.md (29 patterns) + opt-in hook; gates in skills 10/13/14. From blader/humanizer
v1.4.0 2026-05-15 Release hygiene: docs aligned, Acknowledgements, quality-gates, constitution-watcher hook, evals migrated, tags + releases
v1.3.x 2026-05-15 Spec-driven development: /constitution (governing principles, 5 axes), /checklist (unit tests for English), /analyze (cross-artifact consistency); 4 critical skills consult constitution; canonical pipeline in handoffs.md; programs/spec-driven-development.md; inference-time-compute patterns from optillm
v1.2.x 2026-05-13 13-check PRD validation (decoupled from Taskmaster); agent prompting patterns (layering A→B→C, agent-spec template, no-drift policy); 4-tier memory model; token budget in SessionStart hook
v1.1.0 2026-05-09 Context Engineering adoption: protocol shells (Pareto-lang), skill I/O schemas, iteration scoring, programs/ layer, 3 pilot subagents migrated
v1.0.0 2026-04-30 Auto-loop v2: multi-agent (claude + codex), parallel worktrees, polishing pass, circuit breaker, 21 smoke tests

/swarm — Total Autonomy (v2.0.0+)

The only command that takes you from prompt → PR mergeable without human intervention.

/swarm "implement social auth with Google + GitHub"

The kit:

  1. Creates isolated git worktree
  2. Generates PRD + breaks into stories
  3. Ralph loop: implements each story with fresh context (no contamination)
  4. 4 parallel review agents: code + security + tests + anti-AI-writing
  5. Synthesizes findings with severity decision matrix
  6. Self-fixes CRITICAL/HIGH automatically
  7. Creates PR with synthesis as comment, rebased on main

You come back to a PR ready for review.

When to use vs other commands

Command Worktree Fresh ctx per story Multi-agent review Self-fix Auto-PR Use case
/auto optional Small task, prompt-based
/loop optional Medium task, subprocess
/run-program X depends depends Declarative pipeline with gates
/swarm always Total autonomy: prompt → PR

Inputs

/swarm "implement feature X"           # free text
/swarm fix #142                        # GitHub issue
/swarm --prd docs/prd/auth.md          # existing PRD
/swarm --resume <run-id>               # continue stopped run

Autonomous + /swarm = manda e esquece

In ~/.claude/dev-team-kit-config.json set intent_classifier.autonomous: true:

  • Hook detects feature intent → auto-suggests /swarm
  • Claude auto-executes (no gates pause)
  • You come back to a PR ready

Cleanup

Worktree NEVER deleted automatically. After PR merged:

git worktree remove .swarm/<run-id>/workspace
rm -rf .swarm/<run-id>

Full protocol: policies/swarm-protocol.md.


Auto-Orchestration (v1.8.0+)

The kit detects intent from your prompt and suggests the appropriate program automatically — you don't have to remember to invoke /run-program manually.

You say: "I need to add social auth to the app"
   ↓
[intent-classifier hook]
   → detects feature pattern → emits: /run-program spec-driven-development
   ↓
[Claude] invokes skill 39 (program-router)
   → asks via AskUserQuestion: dry-run / direto / ad-hoc / cancelar
   ↓
You choose → program executes with human gates where defined

4 autonomy levels

Level Behavior When to use
0 — Manual Hook disabled. You invoke /run-program <name> manually. Full control, exploration
1 — Passive Hook suggests. Claude shows it and waits. Nothing auto-executes. Quer só sugestão, decide tudo manualmente
2 — Active (DEFAULT since v1.9.0) Hook suggests + Claude auto-runs --dry-run (shows plan). Human gates inside program still pause. Default: less friction, full safety via gates
3 — Autonomous Hook suggests + Claude auto-runs with --auto-yes (gates auto-approve). CI / cron only. High risk if program has destructive bash:.

Active vs Autonomous — the key difference:

  • Active = "show me the plan automatically, but pause at gates so I can approve them during execution"
  • Autonomous = "execute everything without asking me anything"

The real difference is whether human gates during execution stay active.

Configure your level

// hook config (via /update-config or settings.json)
{
  "intent_classifier": {
    "enabled": true,         // false = Level 0 (manual)
    "auto_dry_run": true,    // DEFAULT v1.9.0+ — Level 2 Active
    "autonomous": false,     // true = Level 3 (autonomous, CI only)
    "suppress": []           // program ids to never suggest
  }
}

Edit ~/.claude/settings.json (Windows: C:\Users\<user>\.claude\settings.json), save, and restart Claude Code.

Set up Level 3 (Autonomous) — your machine only (user-wide)

Zero human confirmations. Use only in non-interactive contexts (CI, scheduled tasks). Recomended: put this in user-wide config so the repo default stays Active (safer). File: ~/.claude/dev-team-kit-config.json

{
  "intent_classifier": {
    "enabled": true,
    "autonomous": true,
    "suppress": [
      "adversarial-dev",       // tem bash que mexe em $ARTIFACTS_DIR/app
      "comprehensive-review"   // postaria em PR sem revisão humana
    ]
  }
}

Pre-flight checklist before enabling Autonomous:

  • Backup do repo / working tree limpa
  • Programs perigosos no suppress list
  • CI/cron tem timeout (ex: máx 30min)
  • Logs persistentes em .run-program/*.log.json acessíveis para debug pós-mortem
  • git push --force proibido (ver policies/tool-safety.md)
  • Notification webhook em caso de falha

Set up Level 0 (Manual) — disable completely

{
  "intent_classifier": {
    "enabled": false
  }
}

Override temporário via env var

# bash/zsh — uma sessão só
export DEVKIT_INTENT_CLASSIFIER_AUTONOMOUS=true
claude

# powershell
$env:DEVKIT_INTENT_CLASSIFIER_AUTONOMOUS="true"; claude

Full reference: policies/auto-orchestration.md.

6 intent patterns detected

Your prompt mentions... Suggested program
"criar feature", "spec-driven", "constitution" spec-driven-development
"ideia vaga", "discovery", "preciso de PRD" pipeline-discovery
"review crítico", "5-agent", "comprehensive review" comprehensive-review
"from scratch", "greenfield", "do zero" adversarial-dev
"legacy", "legado", "reverse engineering" detective-spec
"auto-loop", "autônomo", "fire and forget" loop-polishing

Skip auto: informational prompts ("o que é..."), trivial ("fix typo"), or already a /slash command.


Acknowledgements

This kit is the result of looking at a lot of prior art and re-implementing the ideas that fit our skill-kit model. Nothing here is copied code — each item below was reimagined as policy, skill, or zero-dep script in our own conventions. Links lead to the upstream projects that inspired each direction.

Full third-party attribution (license + scope) is in NOTICE, preserved per Apache-2.0 §4(d).

Project Feature in this kit Version
github/spec-kit Inspired the /constitution, /analyze, /checklist commands and the spec-driven workflow v1.3.0+
anombyte93/prd-taskmaster Inspired the 13-check PRD quality validation taxonomy v1.2.1
algorithmicsuperintelligence/optillm Inspired the inference-time compute patterns doc (MoA, Self-Consistency, BoN, PlanSearch, SPL, RTO) v1.3.0
mattpocock/skills Inspired the /grill-me, /to-prd, /to-issues commands v1.4.0+
davidkimai/Context-Engineering Inspired protocol shells (Pareto-lang), atom→field taxonomy, and the programs layer v1.1.0
rohitg00/agentmemory Inspired the 4-tier memory consolidation model and privacy filter v1.2.0
ClickUp Agent Prompting Guide Inspired the Five Building Block framework and A→B→C layering v1.2.0
sandeco/reversa Inspired the Detective Spec pipeline (skill 33) v1.6.0
aihero.dev Inspired the documentation format used in WIKI / SKILLS-OVERVIEW v1.5.0
Anthropic Skills (anthropic-skills:*) Inspired policies/mcp-builder-patterns.md, policies/memory-consolidation.md, /consolidate-memory v1.5.0
Superpowers (superpowers:*) Inspired policies/verification-before-completion.md, policies/receiving-code-review.md, parallelization framing v1.5.0
Claude Code Setup Inspired the --recommend-automation mode in the Repo Auditor skill v1.5.0
Claude MD Management Inspired the audit mode in the CLAUDE.md generator skill v1.5.0
blader/humanizer + Wikipedia: Signs of AI writing Inspired the 29 anti-AI writing patterns and /humanize command v1.4.1, v2.12
coleam00/archon Inspired the program engine primitives + the adversarial-dev and comprehensive-review patterns v1.7.0
claudioemmanuel/squeez Inspired the cross-call output dedup approach (MinHash + Jaccard) and the public benchmark methodology v2.9.0
bytedance/deer-flow Inspired three conventions: observability trace tags, skill manifest frontmatter v2, and progressive skill loading framing v2.10.0
multica-ai/andrej-karpathy-skills Inspired the "Goal-Driven Execution" pillar (the 4th principle missing from our policy set) v2.10.2
anthropics/skills/frontend-design Inspired the aesthetic anchors framework and the "ban generic fonts" rule in the UI/UX skill v2.12.0
AgriciDaniel/claude-seo Inspired the GEO/AEO section in the SEO skill (Generative/Answer Engine Optimization) v2.12.0
garrytan/gstack Inspired the /canary skill (3 strategies, 7 metrics, automatic rollback) v2.12.0
obra/superpowers Inspired the "Iron Law" framing and rationalization prevention table v2.12.0
anthropics/financial-services Inspired the vertical-plugin architectural pattern (documented for future adoption) v2.12.0
openai/codex-plugin-cc Inspired the Codex integration guide (we don't reimplement — users install the plugin directly) v2.12.0
alirezarezvani/claude-skills Inspired programmatic skill quality scoring and the trigger eval format v2.12.0
Tencent/TencentDB-Agent-Memory Inspired the symbolic-memory (Mermaid canvas + node_id drill-down) and memory-pyramid (L0→L3) policies v2.14.0

Every entry above is an idea-level inspiration. We do not bundle code from these projects; our implementations are independent and aligned with this kit's zero-runtime-dep, markdown-first conventions. When a project's approach didn't fit (LangGraph runtime, proxy servers, Python CLIs, etc.), we said so in NOTICE.


License & attribution

Licensed under the Apache License, Version 2.0. See LICENSE for the full text and NOTICE for the third-party attribution that must be preserved in any redistribution.

If you fork, repackage, or build on top of this kit: keep NOTICE intact. The people listed there shaped the patterns inside — attribution is the only thing the license asks of you.


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