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DOOMAGENT

The mind of a firm. The speed of one.

20 free cognitive skills for AI agents. OMNISCIENCE — the master skill — is the one that orchestrates all 20, and it's free for everyone. Apache 2.0 for the free library. Built by ASLAM, useful not flashy.

$ git clone https://github.com/aslam-devloper/DOOMAGENT.git
$ cp -r DOOMAGENT/skills/atlas DOOMAGENT/skills/metis ~/agents/skills/

Each skill is a small cognitive operating system — a structured way of thinking that any AI model can load and apply. Drop them into Claude Code, Cursor, Windsurf, opencode, or any agent framework. They make the model think more carefully about specific kinds of work.

→ Live site: doomagent.vercel.app · Download free library (.zip) · Apache 2.0


🔥 OMNISCIENCE — Free for everyone

20 lenses. One cascade. Zero blind spots.

OMNISCIENCE is the master skill — it contains all 20 free skills as named lenses, picks the right ones for the task, runs an expert panel that argues with itself, and ships an answer an engineer would sign.

It's free. No email, no signup, no license key. Just download and drop it in.

Download OMNISCIENCE (funding note: the download link is a URL shortener — it earns a small amount per click, which is how DOOMAGENT stays free for everyone. The shortener shows an interstitial page; that's the shortener, not malware.)

1. DECODE   → restate the true intent
2. FORK     → generate 3-5 distinct approaches
3. STRESS   → pre-mortem each candidate
4. COMMIT   → pick the risk-adjusted best
5. AUDIT    → run the relevant lenses
6. BUILD    → lead with conclusion
7. ATTACK   → red-team the output
8. COMPRESS → one-sentence test
9. SHIP     → calibrated, terse, honest

Inside AUDIT, OMNISCIENCE picks the right lenses from the 20-skill library:

Lens What it audits
NOUS Are we solving the right problem, or the assumed one?
PHRONESIS What are we trading off, and what's the flip variable?
METIS Are we fixing the symptom or the cause?
ATLAS Will this still be a good decision in 5 years?
THALASSA Will the schema survive 18 months of code churn?
AETHER Is the API contract sacred?
AEGIS Has this been threat-modeled?
STASIS Are we recomputing what we shouldn't?
KRATOS Is "fast" measured or assumed?
ARGO Are agent roles clear, or will they collide?
MNEMOSYNE Are decisions being preserved across the session?
TECHNE Will the next tired person understand this?
MORPHE Does the shape match the intent?
STIGMA Have the corner cases been tested?
ALETHEIA Is the documentation honest?
CHRONOS Is this automated, or does it depend on memory?
VIGIL Will we see it fail, or fail silently?
LUMEN Is the visual hierarchy deliberate?
IRIS Does the design system hold, or are we hard-coding?
ETHOS Did the user opt in to this layer?

Plus the Expert Panel (DOMAIN EXPERT · RED TEAM · SHIPPER) argues with itself inside the cascade. If all three agree instantly, OMNISCIENCE forces disagreement — shallow consensus is rejected.

Output format:

LINE 1: The answer, the conclusion, the bottom line.
LENSES: ✓ [passed] · ⚠ [flagged] · ✗ [failed]
CONFIDENCE: X% — [one-line reason]
FLIP VARIABLE: [what would change this answer]   ← for trade-off questions

Auto-selected lens sets for common tasks

Task Lens set OMNISCIENCE runs
Architecture decision NOUS → PHRONESIS → ATLAS → THALASSA → AETHER → AEGIS
Code review METIS → TECHNE → MORPHE → STIGMA → AEGIS → ALETHEIA
Production debug METIS → STIGMA → VIGIL → STASIS → AEGIS
API design AETHER → AEGIS → THALASSA → ALETHEIA → KRATOS
Database / schema THALASSA → AEGIS → STASIS → KRATOS
Frontend / UI LUMEN → IRIS → TECHNE → STIGMA → KRATOS
DevOps / deploy CHRONOS → VIGIL → AEGIS → STASIS
Multi-agent system ARGO → MNEMOSYNE → METIS → AEGIS
Documentation ALETHEIA → TECHNE → AETHER
Performance work KRATOS → STIGMA → VIGIL → METIS
Security review AEGIS → METIS → STIGMA → ALETHEIA
Full audit All 20 lenses in parallel

The 20 Free Skills

The library is free forever, Apache 2.0. Use it commercially. Modify it. Ship it in your own product. Just keep the credit.

Skill What it does
ATLAS System architecture, backend infrastructure, design decisions.
AEGIS Security hardening, threat modeling, defensive code.
TECHNE Code craftsmanship, idiomatic patterns, refactoring for clarity.
PHRONESIS Trade-off analysis, "should I" questions, decision framing.
METIS Deep debugging, root-cause analysis, bug archaeology.
AETHER API design, contracts, REST/GraphQL/RPC architecture.
KRATOS Performance optimization, profiling, refactoring for speed.
CHRONOS DevOps, CI/CD, deployment, infrastructure automation.
VIGIL Observability, monitoring, logging, alerting, metrics.
THALASSA Database design, schema architecture, data modeling.
STASIS Caching strategy, read replicas, performance layers.
LUMEN UI design, visual hierarchy, typography, layout.
IRIS Design systems, tokens, theming, component libraries.
MORPHE Refactoring, code shape, structural improvement.
MNEMOSYNE Long-context memory, project context, decision logging.
ARGO Multi-agent orchestration, agent roles, handoffs.
NOUS First-principles reasoning, problem framing, assumption stripping.
ALETHEIA Documentation that tells the truth, READMEs, API docs.
STIGMA Testing, QA, edge case hunting, test design.
ETHOS Halal compliance and ethical guardrails. Opt-in toggle.

All 20 are in AGENTDOOM/skills/. Each skill is a folder containing a SKILL.md file.

Want the 21st? OMNISCIENCE contains all 20 of these as lenses — and orchestrates them. → doomagent.vercel.app

How to use

The skills are designed to be drop-in. Copy AGENTDOOM/skills/<skill-name>/ into wherever your tool reads skill files:

  • opencode.opencode/skills/ (the format they ship in)
  • Claude Code~/.claude/skills/
  • Cursor — load as .mdc rule files (convert from SKILL.md if needed)
  • OpenAI / GPT — paste the system message content into your custom GPT instructions
  • Any agent framework — read the SKILL.md body, use as system prompt

Each skill's description field in the frontmatter is the trigger. When the model sees matching keywords in the user's request, it loads the skill. No manual invocation needed.

What they actually do

These aren't prompt packs. They're cognitive operating systems.

Each skill has:

  • A philosophy (the core belief)
  • Behavior rules (strict rules the model follows)
  • A workflow (the step-by-step process)
  • Output standards (format and quality bar)
  • A self-audit (questions the model asks before responding)
  • Examples (concrete before/after)
  • Anti-patterns (what the skill refuses to do)
  • A kill signal (when to refuse the prompt)
  • A confidence + flip variable (always named, never hidden)

The combination is more useful than the sum of the parts. OMNISCIENCE is the conductor — it contains all 20 of these as lenses, picks the right ones for the work, and reports the verdicts inline. Load OMNISCIENCE, get all 20. Load one specific skill, get that depth only.

What they're not

They're not magic. A 7B model with OMNISCIENCE won't think like a 70B model. It will think less wastefully with what it already knows — that's the real lift. The discipline is the value, not the knowledge injection.

They're not a complete system. They're pieces. You pick the ones that match the work in front of you.

They're not opinion-free. ATLAS will tell you to use Postgres. AEGIS will refuse your custom crypto. That's the point — the skills have a stance, and the stance is the value.

License

Apache 2.0 for the 20 free skills. OMNISCIENCE is free for everyone — distributed via the download shortener on the landing site. The shortener pays a small amount per click to fund the project. No email, no signup, no telemetry.

Credits

Built by ASLAM.

If this is useful, drop a donation. It funds more skills.

Naming

Every skill name is rooted in Greek, Latin, or Arabic etymology. Real words, not AI-slop. OMNISCIENCE means "all knowledge" (Latin). ATLAS means "to bear" (Greek — the one who carries the world). AEGIS is the shield of Athena. METIS is cunning intelligence. CIPHER comes from Arabic ṣifr — the origin of "zero." The naming has its own logic — a Greek titan for backend, a Greek goddess of the forge for craftsmanship, an Arabic root for cryptography. The point was to make the names feel like they could be characters in a mythology, not products in a SaaS marketplace.

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