 [email protected]andClaude Opus 4.6
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8e2349d12e
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feat(skills): extract ironclaw_skills crate and integrate with v2 engine
Extract the skills system into a standalone `ironclaw_skills` crate
(following the ironclaw_safety pattern) and wire it into the v2 engine
for deterministic skill selection, CodeAct code injection, and
confidence tracking.
**ironclaw_skills crate** (94 tests):
- Core types: SkillManifest, ActivationCriteria, LoadedSkill, SkillTrust
- V2 types: V2SkillMetadata, CodeSnippet, SkillMetrics, V2SkillSource
- Deterministic 4-phase selector (gating→scoring→budget→attenuation)
- apply_confidence_factor() for extracted skill scoring
- SKILL.md parser, validation/escaping, gating, registry, catalog
- Feature-gated: catalog (reqwest), registry (filesystem)
**Engine integration** (14 new tests):
- DocType::Skill with retrieval weight 0.45
- SkillSelector bridges MemoryDoc→LoadedSkill for shared scoring
- SkillTracker for usage/version/rollback confidence tracking
- System prompt injection via <skill> XML blocks
- CodeAct snippet injection via Monty NameLookup
- Skill extraction mission replaces playbook extraction
- ThreadManager.set_skill_selector() for runtime wiring
**Bridge + migration**:
- skill_migration.rs: v1 SKILL.md → v2 MemoryDoc (idempotent)
- init_engine() migrates v1 skills, builds SkillSelector
- src/skills/mod.rs → re-export shim
**E2E test** (tests/engine_v2_skill_codeact.rs):
- Full CodeAct loop: skill selected → LLM returns Python code →
Monty executes http() → mock returns canned GitHub JSON →
FINAL() terminates → thread completes with canned data
- GitHub SKILL.md in skills/github/ as reference implementation
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
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2026-03-27 16:24:07 -07:00 |
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