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meta

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

personAuthor: jakexiaohubgithub

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.