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review

Analyze the available skill set and recommend candidate groups that could be consolidated into sub-skill bundles. Read-only — proposes a plan, does not move files.

PyModel/pythinker-code

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SKILL.md2.7 KB

SKILL.md（原文）

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Review sub-skills (`sub-skill.review`)

Analyze the current skill inventory and identify candidate groups that could be consolidated into sub-skill bundles. This sub-skill is read-only: it produces a proposal for the user to review before any file changes are made by sub-skill.consolidate.

When to use

The user asks to review, reorganize, or audit the skill inventory.
There are many loosely-related skills that might benefit from hierarchical grouping.
The user wants to evaluate whether a new skill should be a sub-skill of an existing parent.

Process

List the current inventory. Use the skill registry (or scan the configured skill roots) to get a full list of skill names, descriptions, and source scopes.
Categorize by domain. Group skills by functional domain — e.g. file operations, web tools, collaboration, observability.
Detect coupling. Identify skills that are frequently used together or share similar whenToUse conditions.
Flag granularity issues. Call out skills that are too fine-grained (e.g. one skill per CLI flag) or too broad to land in any single domain.
Propose sub-skill structures. For each candidate group, list:
- The parent skill name and a one-line description.
- The children that should move under it.
- Any documentation, reference, example, asset, or template directories that must move with each child so the final directory layout stays aligned.
- Whether the parent needs has-sub-skill: true (it does, if children should be discovered).
Output a summary report. Present findings as a concise grouped list with rationale, and stop. Do not edit any file — that's sub-skill.consolidate's job.

Criteria for a good sub-skill grouping

Shared context. Children operate within the same domain or workflow.
Composable entry point. The parent gives a natural top-level handle; children handle specifics.
Shallow nesting. Prefer 2 levels (parent → child). Avoid 3+ unless strictly necessary.
Backward compatibility. Existing skill names should ideally remain discoverable.

Example output format

Proposed sub-skill: web-research
  - Parent: web-research (has-sub-skill: true)
  - Children:
    - web-search    → move under web-research/search
    - fetch-url     → move under web-research/fetch
  - Documentation alignment: move each child's references/examples/assets with that child.
  - Rationale: Both deal with online information retrieval and are often chained together.

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日本語の概要は準備中です。原文の説明を表示しています。