/install adaptive-agent-skill-review
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- When you notice a skill has outdated steps or missing context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
## Gotchassection? - If not, patch the skill
Step 3: Check for Staleness
For each skill, check:
| Check | How |
|---|---|
| References valid paths? | Grep for file paths mentioned in SKILL.md, verify they exist |
| References valid commands? | Check if CLI tools or scripts mentioned still work |
| Steps still accurate? | Compare with actual workflow from recent git history |
| Gotchas section exists? | If skill has been used multiple times, it should have accumulated lessons |
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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install adaptive-agent-skill-review - 安装完成后,直接呼叫该 Skill 的名称或使用
/adaptive-agent-skill-review触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Adaptive Agent: Skill Review 是什么?
Review all skills for staleness, missing gotchas, and improvement opportunities. Run periodically or after a series of tasks to keep procedural memory accura... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 80 次。
如何安装 Adaptive Agent: Skill Review?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install adaptive-agent-skill-review」即可一键安装,无需额外配置。
Adaptive Agent: Skill Review 是免费的吗?
是的,Adaptive Agent: Skill Review 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Adaptive Agent: Skill Review 支持哪些平台?
Adaptive Agent: Skill Review 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Adaptive Agent: Skill Review?
由 LJ Li(@truenorth-lj)开发并维护,当前版本 v1.0.0。