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Implement 4-layer skill validation system for deterministic outputs: - Tier 3 (Verified): 46 skills with full eval test suites - Tier 2 (Validated): 7 skills with executable validators - Tier 1 (Structured): 5 skills with JSON output schemas - Tier 0 (Advisory): 5 skills with SKILL.md guidance only Key additions: - JSON Schema validation templates for skill outputs - Executable validator scripts for correctness verification - Evaluation test framework with multi-model support - CLI commands: aqe skill report/summary/compare, aqe eval run/status - ReasoningBank integration for validation pattern learning - GitHub Actions workflow for CI skill validation - Trust tier frontmatter in all 63 skill SKILL.md files - Comprehensive documentation and user guides Infrastructure: - .claude/skills/.validation/ - Templates and frameworks - .claude/skills/*/schemas/ - Output schemas per skill - .claude/skills/*/scripts/ - Validator scripts per skill - .claude/skills/*/evals/ - Test cases per skill Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2.6 KiB
2.6 KiB
Implementation Plans
This directory contains GOAP-style implementation plans for major AQE features.
Active Plans
Skill Validation: Trust But Verify
Status: Planning Priority: High Estimated Effort: 214 hours across 5 phases
Implements a 4-layer validation system for AQE skills:
Level 3: Evaluation Suite (measure behavior)
Level 2: Executable Validator (verify output)
Level 1: JSON Schema (structure output)
Level 0: SKILL.md Instructions (guide intent)
Key Deliverables:
- Trust tier frontmatter extension for SKILL.md
- JSON output schemas for all P0 skills
- Executable validators with graceful degradation
- YAML-based evaluation test suites
- CI/CD workflow for multi-model validation
- ReasoningBank integration for learning
Related Resources:
- Schemas:
/docs/schemas/ - Templates:
/docs/templates/ - Exemplars:
.claude/skills/testability-scoring/,.claude/skills/brutal-honesty-review/
Plan Structure
Each plan follows the SPARC-GOAP methodology:
- Specification: Define goal state and success criteria
- Pseudocode: Plan action sequences and state transitions
- Architecture: Structure solution components
- Refinement: TDD implementation with iteration
- Completion: Integration, validation, deployment
Milestone Template
Milestone X.Y: Name
Description: What this milestone achieves
Complexity: Low/Medium/High
Estimated Hours: N
Agent Assignment: qe-agent-name
Dependencies: [milestone IDs]
Parallel Opportunity: Yes/No
Deliverables:
- path/to/deliverable
Success Criteria:
- [ ] Measurable outcome
Memory Namespaces
Plans define memory namespaces for pattern learning:
aqe/{feature}/
├── patterns/ - Learned patterns
├── outcomes/ - Execution outcomes
├── metrics/ - Performance metrics
└── trends/ - Historical trends
Creating New Plans
- Copy the structure from an existing plan
- Define clear goal state vs current state
- Break into SPARC phases with milestones
- Assign agents and estimate complexity
- Map dependencies and parallel opportunities
- Define success criteria for each milestone
- Add to this README