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Capability gap analysis

Skill alidevai/chiron_agent/.claude/skills/capability-gap-analysis

Autonomous, self-improving AI agent platform for Claude Code — safe capability & skill acquisition, MCP/tool discovery, sandboxed policy gates, and token-efficient learning.

Install
npx -y skills add alidevai/chiron_agent --skill capability-gap-analysis

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What its author says it does

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Bir goreve baslamadan once yetkinlik acigini ve guven skorunu olcer; eksik olanin bilgi mi, skill mi, tool mu oldugunu ayirir ve sonraki adimi (dogrudan yurut / dogrulayarak yurut / yetenek edin) belirler. Yuksek riskli, belirsiz veya "en guncel/en iyi/dogrula" istenen gorevlerde ilk adim olarak kullanilir.

SKILL.md

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Capability Gap Analysis

Bu skill, "her seyi bildigini varsayan" davranisin panzehiridir. Goreve dalmadan once sistemin o gorev icin gercekten hazir olup olmadigini kanitla olcer.

Ne zaman kullanilir

Su durumlardan HERHANGI biri varsa, koda/analize baslamadan once bunu calistir:

  • Alan yuksek riskli: finans, trading, guvenlik, saglik, hukuk
  • Kullanici "en guncel", "en iyi", "dogrula", "emin ol" diyor
  • Gorev mevcut skill'lerin acikca kapsami disinda
  • Kullanilacak kutuphane/standart guncel olmayabilir
  • Ayni hata tekrar ediyor veya bir tool cagrisi iki kez basarisiz oldu
  • Kullanici ozel/bilinmeyen bir teknoloji, format veya sistem istiyor

Prosedur

  1. Gorevi alanlara ayir. task_domain ve task_subdomains cikar. Ornek: "Solidity kontrati guvenlik incelemesi" -> domain=security, subdomains=[solidity, smart-contract, static-analysis]

  2. Gerekli yetenekleri listele. Hangi prosedurler (skill), hangi araclar (tool/MCP), hangi veri kaynaklari gerekiyor? Somut skill id'leri olarak yaz.

  3. Gap raporunu calistir:

    python -m core gap --domain <alan> --skills <id1,id2,id3> --risk <low|medium|high|critical>
    

    Cikti: existing / missing / stale yetenekler, confidence (0-1), action.

  4. Action'a gore yonlen:

    • proceed (confidence >= 0.75, eksik yok): dogrudan mevcut skill'lerle yurut.
    • proceed_with_verification (0.60-0.75): yurut, ama sonucu evaluator subagent'ina bagimsiz dogrulat. Yuksek riskte bu zorunludur.
    • research_and_stage_capability (< 0.60 veya eksik var): capability-manager subagent'ini cagirarak eksik yetenegi guvenli sekilde edin (bkz. [[secure-capability-acquisition]]).
  5. Riske gore kapilar:

    • risk high/critical ise: bagimsiz evaluator ZORUNLU.
    • Eylem geri donusu zor ise (production, email, trade, dosya silme): insan onayi.

Kullanilmamasi gereken durumlar

  • Onemsiz, tek seferlik, dusuk riskli gorevlerde (or. bir yazim hatasi duzeltme) bu analiz gereksiz surtunmedir; dogrudan yap.

Cikti formati

Gorevin basinda kisa bir "hazirlik notu" ver: alan, gerekli yetenekler, confidence skoru, secilen action ve gerekiyorsa hangi subagent'in cagrilacagi.

Kaynaklar

  • Platform gap motoru: core/confidence.py
  • Ilgili: [[secure-capability-acquisition]], [[skill-router]]

Keep looking

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