AGENT SKILL

evolve

Promote mature instincts (confidence > 0.8) into full Copilot skills that get auto-discovered. Clusters related instincts and generates SKILL.md files in .github/skills/.

License 许可
MIT
最近更新
2026-08-25
Stars
★ 8
Forks
1

01 前言 Front Matter

name
evolve
description
Promote mature instincts (confidence > 0.8) into full Copilot skills that get auto-discovered. Clusters related instincts and generates SKILL.md files in .github/skills/.

03 SKILL.md 正文

/evolve — Promote Instincts to Skills

Transform mature instincts into full Copilot skills. When an instinct reaches high confidence through repeated observation, it has proven valuable enough to become a permanent part of the project's skill set.

When to Use

  • When /instincts shows patterns with ★ (confidence > 0.8)
  • When you want to formalize a recurring pattern into a discoverable skill
  • Periodically to graduate well-established project conventions

Execution Flow

Step 1: Identify Candidates

Read .atv/instincts/project.yaml and filter for:

  • Confidence > 0.8
  • Observations > 5
  • Not already evolved (check .atv/instincts/archive/)

If no candidates found:

No instincts ready to evolve yet.
Run /learn to build confidence, or check /instincts for current status.
Instincts need confidence > 0.8 and 5+ observations to evolve.

Step 2: Cluster Related Instincts

Group candidates by domain. Each cluster becomes one skill:

Evolution candidates:

  Cluster 1: "Go Error Handling" (error-handling domain)
    ★ always-wrap-errors      0.9  15 obs
    ★ sentinel-errors         0.85  8 obs
    → Will generate: .github/skills/learned-go-error-handling/SKILL.md

  Cluster 2: "Testing Conventions" (testing domain)
    ★ table-driven-tests      0.85  12 obs
    → Will generate: .github/skills/learned-testing-conventions/SKILL.md

Proceed with evolution? (Copilot will generate the skills)

Step 3: Generate SKILL.md

For each cluster, generate a SKILL.md file:

---
name: learned-[domain-name]
description: "[Auto-generated] Project conventions for [domain] learned from [N] observations across [M] sessions."
---

The skill content should:

  1. Describe when to apply these conventions
  2. List each instinct as a concrete guideline with examples
  3. Reference the evidence (commit hashes, observation counts)
  4. Mark as auto-generated so humans know to review

Naming convention: learned- prefix so generated skills are visually distinct from hand-written ones.

Output path: .github/skills/learned-<domain>/SKILL.md

Step 4: Archive Evolved Instincts

Move evolved instincts from project.yaml to .atv/instincts/archive/evolved-YYYY-MM-DD.yaml with metadata:

evolved_to: .github/skills/learned-go-error-handling/SKILL.md
evolved_at: 2026-04-06

Step 5: Report

Evolution complete!

Generated skills:
  ✅ .github/skills/learned-go-error-handling/SKILL.md (from 2 instincts)
  ✅ .github/skills/learned-testing-conventions/SKILL.md (from 1 instinct)

Archived 3 instincts to .atv/instincts/archive/

These skills will be auto-discovered by Copilot in the next session.
Review the generated files and adjust as needed — they're a starting point.

Remaining instincts: X active (run /instincts to see)

Important Notes

  • Generated skills use learned- prefix — easy to spot and edit
  • Always review generated skills before committing — they're a draft
  • Evolved instincts are archived, not deleted, so history is preserved
  • If a generated skill doesn't feel right, delete it and the instincts will re-accumulate

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