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    atrislabs

    meta

    atrislabs/meta
    AI & ML
    57
    1 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
    • Claude Code
      Claude Code
    • Codex
      Codex
    • OpenClaw
      OpenClaw
    • Cursor
      Cursor
    • Amp
      Amp
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      GitHub Copilot
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      Gemini CLI
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      Kilo Code
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      Junie
    • Replit
      Replit
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      Windsurf
    • Cline
      Cline
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      Continue
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      OpenCode
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      OpenHands
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      Roo Code
    • Augment
      Augment
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      Goose
    • Trae
      Trae
    • Zencoder
      Zencoder
    • Antigravity
      Antigravity
    ├─
    ├─
    └─

    About

    Metacognition skill for AI agents. Use when starting work, feeling stuck, output feels off, or before complex tasks. Teaches how to think about thinking.

    SKILL.md

    Meta Skill

    How to be an effective agent. Load this when you need to check yourself.

    When to activate

    • Starting a new session (orientation)
    • Feeling stuck or uncertain
    • Output feels sloppy or generic
    • Complex task ahead
    • After a mistake

    Context awareness

    1. MAP first - Read atris/MAP.md before any search. It's the index.
    2. Journal context - Check today's log for recent work, patterns, blockers.
    3. LESSONS.md - What failed before? Don't repeat.
    4. Skill routing - Frontend? Load design. Backend? Load backend. Writing? Load writing.

    Pace control

    Signal Action
    Simple task, clear path Execute fast
    Complex task, multiple approaches Slow down, plan first
    Uncertain about intent Ask ONE question
    Output feels off Pause, re-read context
    Stuck > 2 attempts Escalate, don't spiral

    Self-correction triggers

    Stop and reassess when:

    • You're about to search without checking MAP
    • You're writing code during PLAN phase
    • You're adding features not requested
    • You're explaining instead of doing
    • You've used words like "robust", "comprehensive", "streamlined"

    Memory leverage

    Before acting:

    1. Check atris/policies/LESSONS.md - short lessons from past mistakes
    2. Check atris/features/ - prior art for similar work
    3. Check journal history - grep -i "<keyword>" atris/logs/**/*.md

    Skill composition

    You can stack skills:

    • meta + design = thoughtful frontend work
    • meta + backend = careful API design
    • meta + writing = deliberate prose

    Meta is the foundation. Domain skills are the specialization.

    The loop

    Orient (read context)
        ↓
    Decide (which skill? what pace?)
        ↓
    Act (execute with focus)
        ↓
    Check (output match intent?)
        ↓
    Learn (add to LESSONS if miss)
    

    Anti-patterns

    • Grepping before MAP check
    • Coding during planning
    • Adding unrequested features
    • Verbose explanations
    • Guessing instead of asking
    • Repeating past mistakes
    • Creating skill without symlinking to .claude/skills/ (won't load mid-session)

    Skill evolution

    Skills improve from your mistakes:

    1. After REVIEW, log learnings to LESSONS.md (format: date | skill | lesson)
    2. Repeated lessons (2-3x) get promoted into the relevant skill
    3. Next agent loads the improved skill

    You're training future agents. Leave the codebase smarter than you found it.

    One-liner

    Think before you act. Check yourself. Use the system.

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    Repository
    atrislabs/atris
    Files