Reusable workflow packs for AI coding agents.
Landing page: https://memoash.github.io/agent-workflow-pack/
Free fit check: https://github.com/MemoAsh/agent-workflow-pack/issues/new?template=pilot.yml
Example fit check submission: #1
Free SKILL.md checker: https://memoash.github.io/agent-workflow-pack/skill-checker.html
Try PR review without local setup: https://memoash.github.io/agent-workflow-pack/try-pr-review.html
Claude Code users can copy a workflow directory into .claude/skills/.
Codex users can copy the same workflow into .codex/skills/.
Keep repo-wide rules in AGENTS.md; keep repeated task procedures in SKILL.md.
The top-level skills/ directory is intentionally indexer-friendly for skill directories and marketplace crawlers.
Quick install examples:
# Claude Code
cp examples/pr-review-workflow/AGENTS.md ./AGENTS.md
mkdir -p .claude/skills/pr-review
cp -R skills/pr-review-workflow/* .claude/skills/pr-review/
# Codex
cp examples/pr-review-workflow/AGENTS.md ./AGENTS.md
mkdir -p .codex/skills/pr-review
cp -R skills/pr-review-workflow/* .codex/skills/pr-review/If you keep pasting the same long prompt into Codex, Claude Code, Copilot, Cursor, or another coding agent, that workflow probably belongs in a reusable pack:
- durable repo instructions
- task-specific skill/checklist
- optional output templates
- verification steps
This turns repeated prompt knowledge into something your future self or team can run again.
AI coding agents are powerful, but repeated workflows often stay trapped in chat:
- "Review this PR, but only report real risks."
- "Fix this bug, but reproduce it first."
- "Write release notes in our format."
- "Never edit generated files."
- "Run these checks before saying done."
When those rules live only in a prompt, they drift. People rewrite them, agents forget them, and teams cannot audit what actually happened.
A workflow pack gives the agent a repeatable operating procedure.
Typical layout:
repo/
AGENTS.md
skills/
workflow-name/
SKILL.md
verification.md
templates/
output-template.md
| Need | Put It Here |
|---|---|
| Repo-wide conventions | AGENTS.md |
| Task procedure | skills/<workflow>/SKILL.md |
| Expected output format | templates/ |
| Success checks | verification.md |
| Mechanical repeatable steps | scripts/ when needed |
See examples/pr-review-workflow for a small PR-review workflow pack.
More examples:
I offer a small paid pilot:
- $99: one narrow workflow pack
- $299: one workflow pack, setup guidance, and one revision after testing
Good pilot workflows:
- PR review
- bug reproduction and fix
- release notes
- safe edit / restricted path checks
- QA verification
- customer issue triage
- internal handoff for weaker AI models
Not a good fit:
- spam, account abuse, platform evasion, or illegal scraping
- vague "make my agent better" requests
- full app builds disguised as one workflow
- generic prompt packs with no verification
- You send one repeated prompt, SOP, checklist, or example output.
- I separate repo rules, task steps, templates, and verification.
- I deliver a small workflow pack.
- You test it once.
- I make one revision based on what failed.
Send one repeated AI-agent workflow you are tired of rewriting.
If it is a bad fit, I will say that before you pay.
Open a free fit check / pilot issue with your repeated workflow.
See service/offer.md for scope and pricing.
MIT. See LICENSE.