adaptive-agent-skill-review（自适应 Agent 技能回顾）

Skill Review

Periodic review of all skills to keep procedural memory accurate and up-to-date.

When to Run

• After completing a batch of tasks across multiple skills
• When you notice a skill has outdated steps or missing context
• Proactively every ~2 weeks as maintenance

Step 1: Inventory

List all skills and their last-modified dates:

for d in skills/*/SKILL.md; do echo "$(stat -f '%Sm' -t '%Y-%m-%d' "$d" 2>/dev/null || date -r "$d" '+%Y-%m-%d') $d"; done | sort -r

Read each SKILL.md briefly (first 30 lines) to understand scope.

Step 2: Cross-Reference with Memory

Check memory files and shared/gotchas.md (if they exist) for lessons that should have flowed into skills but didn't.

For each gotcha or feedback memory:

• Does it relate to a specific skill?
• Is that lesson already captured in the skill's steps or ## Gotchas section?
• If not, patch the skill

Step 3: Check for Staleness

For each skill, check:

Step 4: Check for Gaps

Look for recurring multi-step patterns that don't have a skill yet:

git log --oneline -30

If a workflow has been done 3+ times manually, propose creating a skill for it.

Step 5: Consolidate Duplicates

Check for skills with overlapping scope. If two skills cover similar ground, propose merging or clarifying boundaries.

Step 6: Report

Output a summary table:

| Skill | Status | Action Taken |
|-------|--------|-------------|
| /typefully | Updated | Added gotcha about image requirements |
| /codebase | OK | No changes needed |
| /deploy-flow | NEW | Created from repeated manual workflow |

Key Rules

• Read before edit — never patch a skill you haven't read
• Minimal patches — only change what's wrong or missing, don't restructure working skills
• Preserve voice — each skill has its own style; don't homogenize
• Commit after — stage and commit all skill changes with chore: skill-review — update N skills