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26 · Agents · Capability Governance

Skill Stocktake

Plan skill stocktake with explicit scope, evidence and human oversight.

skill-inventarcapability-governanceagentenkompetenzenskill-stocktake

Skill Stocktake · Original SKILL.md

---
name: skill-stocktake
description: "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation."
metadata:
  origin: ECC
---

# skill-stocktake

Slash command (`/skill-stocktake`) that audits all Claude skills and commands using a quality checklist + AI holistic judgment. Supports two modes: Quick Scan for recently changed skills, and Full Stocktake for a complete review.

## Scope

The command targets the following paths **relative to the directory where it is invoked**:

| Path | Description |
|------|-------------|
| `~/.claude/skills/` | Global skills (all projects) |
| `{cwd}/.claude/skills/` | Project-level skills (if the directory exists) |

**At the start of Phase 1, the command explicitly lists which paths were found and scanned.**

### Targeting a specific project

To include project-level skills, run from that project's root directory:

```bash
cd ~/path/to/my-project
/skill-stocktake
```

If the project has no `.claude/skills/` directory, only global skills and commands are evaluated.

## Modes

| Mode | Trigger | Duration |
|------|---------|---------|
| Quick Scan | `results.json` exists (default) | 5–10 min |
| Full Stocktake | `results.json` absent, or `/skill-stocktake full` | 20–30 min |

**Results cache:** `~/.claude/skills/skill-stocktake/results.json`

## Quick Scan Flow

Re-evaluate only skills that have changed since the last run (5–10 min).

1. Read `~/.claude/skills/skill-stocktake/results.json`
2. Run: `bash ~/.claude/skills/skill-stocktake/scripts/quick-diff.sh \
         ~/.claude/skills/skill-stocktake/results.json`
   (Project dir is auto-detected from `$PWD/.claude/skills`; pass it explicitly only if needed)
3. If output is `[]`: report "No changes since last run." and stop
4. Re-evaluate only those changed files using the same Phase 2 criteria
5. Carry forward unchanged skills from previous results
6. Output only the diff
7. Run: `bash ~/.claude/skills/skill-stocktake/scripts/save-results.sh \
         ~/.claude/skills/skill-stocktake/results.json <<< "$EVAL_RESULTS"`

## Full Stocktake Flow

### Phase 1 — Inventory

Run: `bash ~/.claude/skills/skill-stocktake/scripts/scan.sh`

The script enumerates skill files, extracts frontmatter, and collects UTC mtimes.
Project dir is auto-detected from `$PWD/.claude/skills`; pass it explicitly only if needed.
Present the scan summary and inventory table from the script output:

```
Scanning:
  ✓ ~/.claude/skills/         (17 files)
  ✗ {cwd}/.claude/skills/    (not found — global skills only)
```

| Skill | 7d use | 30d use | Description |
|-------|--------|---------|-------------|

### Phase 2 — Quality Evaluation

Launch an Agent tool subagent (**general-purpose agent**) with the full inventory and checklist:

```text
Agent(
  subagent_type="general-purpose",
  prompt="
Evaluate the following skill inventory against the checklist.

[INVENTORY]

[CHECKLIST]

Return JSON for each skill:
{ \"verdict\": \"Keep\"|\"Improve\"|\"Update\"|\"Retire\"|\"Merge into [X]\", \"reason\": \"...\" }
"
)
```

The subagent reads each skill, applies the checklist, and returns per-skill JSON:

`{ "verdict": "Keep"|"Improve"|"Update"|"Retire"|"Merge into [X]", "reason": "..." }`

**Chunk guidance:** Process ~20 skills per subagent invocation to keep context manageable. Save intermediate results to `results.json` (`status: "in_progress"`) after each chunk.

After all skills are evaluated: set `status: "completed"`, proceed to Phase 3.

**Resume detection:** If `status: "in_progress"` is found on startup, resume from the first unevaluated skill.

Each skill is evaluated against this checklist:

```
- [ ] Content overlap with other skills checked
- [ ] Overlap with MEMORY.md / CLAUDE.md checked
- [ ] Freshness of technical references verified (use WebSearch if tool names / CLI flags / APIs are present)
- [ ] Usage frequency considered
```

Verdict criteria:

| Verdict | Meaning |
|---------|---------|
| Keep | Useful and current |
| Improve | Worth keeping, but specific improvements needed |
| Update | Referenced technology is outdated (verify with WebSearch) |
| Retire | Low quality, stale, or cost-asymmetric |
| Merge into [X] | Substantial overlap with another skill; name the merge target |

Evaluation is **holistic AI judgment** — not a numeric rubric. Guiding dimensions:
- **Actionability**: code examples, commands, or steps that let you act immediately
- **Scope fit**: name, trigger, and content are aligned; not too broad or narrow
- **Uniqueness**: value not replaceable by MEMORY.md / CLAUDE.md / another skill
- **Currency**: technical references work in the current environment

**Reason quality requirements** — the `reason` field must be self-contained and decision-enabling:
- Do NOT write "unchanged" alone — always restate the core evidence
- For **Retire**: state (1) what specific defect was found, (2) what covers the same need instead
  - Bad: `"Superseded"`
  - Good: `"disable-model-invocation: true already set; superseded by continuous-learning-v2 which covers all the same patterns plus confidence scoring. No unique content remains."`
- For **Merge**: name the target and describe what content to integrate
  - Bad: `"Overlaps with X"`
  - Good: `"42-line thin content; Step 4 of chatlog-to-article already covers the same workflow. Integrate the 'article angle' tip as a note in that skill."`
- For **Improve**: describe the specific change needed (what section, what action, target size if relevant)
  - Bad: `"Too long"`
  - Good: `"276 lines; Section 'Framework Comparison' (L80–140) duplicates ai-era-architecture-principles; delete it to reach ~150 lines."`
- For **Keep** (mtime-only change in Quick Scan): restate the original verdict rationale, do not write "unchanged"
  - Bad: `"Unchanged"`
  - Good: `"mtime updated but content unchanged. Unique Python reference explicitly imported by rules/python/; no overlap found."`

### Phase 3 — Summary Table

| Skill | 7d use | Verdict | Reason |
|-------|--------|---------|--------|

### Phase 4 — Consolidation

1. **Retire / Merge**: present detailed justification per file before confirming with user:
   - What specific problem was found (overlap, staleness, broken references, etc.)
   - What alternative covers the same functionality (for Retire: which existing skill/rule; for Merge: the target file and what content to integrate)
   - Impact of removal (any dependent skills, MEMORY.md references, or workflows affected)
2. **Improve**: present specific improvement suggestions with rationale:
   - What to change and why (e.g., "trim 430→200 lines because sections X/Y duplicate python-patterns")
   - User decides whether to act
3. **Update**: present updated content with sources checked
4. Check MEMORY.md line count; propose compression if >100 lines

## Results File Schema

`~/.claude/skills/skill-stocktake/results.json`:

**`evaluated_at`**: Must be set to the actual UTC time of evaluation completion.
Obtain via Bash: `date -u +%Y-%m-%dT%H:%M:%SZ`. Never use a date-only approximation like `T00:00:00Z`.

```json
{
  "evaluated_at": "2026-02-21T10:00:00Z",
  "mode": "full",
  "batch_progress": {
    "total": 80,
    "evaluated": 80,
    "status": "completed"
  },
  "skills": {
    "skill-name": {
      "path": "~/.claude/skills/skill-name/SKILL.md",
      "verdict": "Keep",
      "reason": "Concrete, actionable, unique value for X workflow",
      "mtime": "2026-01-15T08:30:00Z"
    }
  }
}
```

## Notes

- Evaluation is blind: the same checklist applies to all skills regardless of origin (ECC, self-authored, auto-extracted)
- Archive / delete operations always require explicit user confirmation
- No verdict branching by skill origin

When to use

Plan skill stocktake with explicit scope, evidence and human oversight.

Requirements

Defined task boundary, owner, permissions and evidence.

Delivery and review notes

The original MIT guidance is retained. Referenced credentials, runtimes, files, scripts, integrations and external systems are neither provided nor executed. Loading this text does not authorize external actions, deployments, account changes or secret access.

Starting prompt

Use Skill Stocktake for [TASK]. Clarify authorization, task limits and decision owner. Do not execute external actions.

Not for

Treating guidance as an installed runtime or authorization for external action.

What M11 added

German routing and execution boundaries; original source retained unchanged.

Original authorship remains with affaan-m/ECC · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 Pawel Huryn

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: aa8f287c48c5a33bf15094358ffccbe0d4faff9eee9fa2ffcd70c8e9f3d22cdd
Snapshot checked: 2026-10-03T12:44:27.720Z

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