Skill Recommender

---

name: skill-recommender description: Find, filter, cluster, and recommend similar OpenClaw skills by intent, function, or use case. Use when the user wants to find同类 skill、比较多个相近 skill、判断哪个 skill 更适合当前任务、给出技能推荐清单、避免重复开发、或梳理已有 skill 版图。

---

Skill Recommender

Use this skill to recommend the best matching skills from an existing skill collection.

Default workflow

1. Identify the user's target intent: - exact function - adjacent use case - duplicate/overlap check - best skill recommendation 2. Scan available skills from a given directory. 3. Match by: - name - description - keywords - domain words 4. Group similar skills into clusters when needed. 5. Return a ranked recommendation with reasons.

Use the bundled scripts

1. Recommend similar skills

Use scripts/recommend_skills.js when the user gives a query such as:

“找同类 skill”

“有没有类似的 skill”

“这些 skill 哪个更适合”

“帮我筛选同功能的 skills”

Example:

node scripts/recommend_skills.js '{
  "query": "家庭采购 库存 提醒",
  "skills_dir": "/Users/jianghaidong/.openclaw/workspace/skills",
  "limit": 8
}'

2. Cluster related skills

Use scripts/cluster_skills.js when the user wants a grouped view of similar skills, duplicates, or overlapping categories.

3. Avoid duplicate skill development

Use scripts/check_skill_dedup.js when the user is about to build a new skill and wants to know:

whether similar skills already exist

whether the request should reuse an existing skill

whether it is better to extend or merge current skills instead of building a new one

Typical triggers:

“这个 skill 会不会重复开发”

“帮我查重一下 skill”

“我想做一个新 skill，先看看有没有类似的”

“这是不是应该复用现有 skill”

Output contract

Default output sections:

目标功能理解

推荐 skill

推荐理由

相近但次优 skill

可合并/避免重复开发的 skill

下一步建议

Recommendation rules

Prefer concrete task fit over keyword overlap.

Distinguish “direct match” from “adjacent match”.

If several skills overlap heavily, say so explicitly.

If a new skill request is already covered by existing skills, recommend reuse before new development.

If confidence is low, surface the ambiguity.

Read references as needed

Read references/recommendation-rules.md for ranking heuristics.

Read references/output-schema.md for the output schema.

Read references/dedup-mode.md when the user wants to avoid duplicate skill development.