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From mece-decomposer
Validate a MECE decomposition for compliance, structural integrity, and SDK readiness. Use when user says "validate decomposition", "check MECE compliance", "run validation", or wants to verify a decomposition tree passes quality gates.
How this skill is triggered — by the user, by Claude, or both
Slash command
/mece-decomposer:validateThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Check a MECE decomposition for structural integrity, MECE compliance, and Agent SDK readiness.
Check a MECE decomposition for structural integrity, MECE compliance, and Agent SDK readiness.
/validate <decomposition JSON or file path>
Examples:
/validate then paste decomposition JSON/validate output.json/validate after a /decompose or /interview session (validates the last output)uv run mece-decomposer/skills/mece-decomposer/scripts/validate_mece.py <decomposition.json>
Checks:
atom_spec, all branches have orchestration)Using the scoring rubrics from the mece-decomposer skill:
## Validation Report
**Status:** PASS / FAIL
**ME Score:** 0.XX -- [interpretation]
**CE Score:** 0.XX -- [interpretation]
**Overall:** 0.XX -- [interpretation]
### Issues
| Severity | Location | Type | Description |
|----------|----------|------|-------------|
| error | node:1.2 | gap | Missing ... |
| warning | node:2 | depth| Tree depth ... |
### Recommendations
- [Fix for each error]
- [Improvement for each warning]
The mece-validate MCP tool renders a visual report with clickable issue locations that navigate to the problem node in the tree.
| Range | ME | CE |
|---|---|---|
| 0.85-1.0 | Strong: no overlap | Strong: no gaps |
| 0.70-0.84 | Acceptable: minor boundary issues | Acceptable: minor gaps documented |
| 0.50-0.69 | Weak: redefine boundaries | Weak: add missing components |
| < 0.50 | Failed: re-cut this level | Failed: restructure |
Quality gate: >= 0.70 for export, >= 0.85 for confidence.
/validate/exportnpx claudepluginhub fblissjr/fb-claude-skills --plugin mece-decomposerGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.