Searches through local knowledge repositories and notes for relevant information.
Install
mkdir -p .claude/skills/search-v1ceversaa && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13612" && unzip -o skill.zip -d .claude/skills/search-v1ceversaa && rm skill.zipInstalls to .claude/skills/search-v1ceversaa
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use when the user wants to find existing content in the repo — "有没有关于 X 的笔记"、"我之前读过哪些 Y"、"把和 Z 相关的内容列出来"、"find notes on"、"search for". This is a read-only skill: it never writes files, never modifies overviews, never updates indexes. Use even when the user does not say /search.Key capabilities
- →Retrieve existing notes and topics
- →Discover existing research and syntheses
- →List content relevant to a query
- →Explain relevance of search results
- →Suggest next steps based on search results
How it works
The skill extracts key terms from a user's query and runs a script to find existing content in the repository. It then presents ranked results with explanations of relevance and suggests follow-up actions.
Inputs & outputs
When to use search
- →Searching for existing notes
- →Finding past research
- →Retrieving project context
- →Discovering local ideas
About this skill
/search
When To Use
- The user wants to retrieve or discover existing notes, topics, syntheses, conferences, or local ideas.
- The user is asking "what do we already have" before deciding what to read or synthesize.
Hard Boundaries (Read-Only)
- Does not write any markdown files
- Does not modify
overview.md - Does not update indexes
- Does not append to
ops/log.md - Does not archive PDFs
Contrast with similar skills:
/search: find and list existing content, explain relevance/synthesize: compare content and produce a new written output/discuss: use retrieved content to push a research idea forward
Workflow
- Extract key terms from the user's query.
- Run
query_context.pywith the query:
Addpython3 .codex/skills/maintain/scripts/query_context.py \ "<user query terms>" \ --limit 8--include-privateif the user may be looking for local ideas or drafts. - Present results in ranked order. For each result, provide:
- Path and title
- 1–2 sentences explaining why it's relevant to the query
- Current
statusif informative (e.g.,draftingvscomplete)
- Recommend a next step for the most relevant results:
- Note is complete and the user wants to review →
/refresh - Note is missing and user wants to read the paper →
/reador/intake - Multiple relevant notes suggest a comparison →
/synthesize - Results spark a research idea →
/discuss
- Note is complete and the user wants to review →
Inputs Expected
- Free-text query (topic, paper title fragment, concept, author name, venue)
Scripts
../maintain/scripts/query_context.py— full invocation example in_shared/script-registry.md
Done Criteria
- Ranked results are presented with relevance explanations
- A next step is suggested for the most relevant hits
When not to use it
- →When the user wants to write or modify markdown files
- →When the user wants to update indexes or archive PDFs
- →When the user wants to compare content and produce a new written output
Limitations
- →It is a read-only skill; it never writes or modifies files
- →Does not modify `overview.md` or update indexes
- →Does not append to `ops/log.md` or archive PDFs
How it compares
This skill provides a structured way to discover and understand existing content within a repository, offering relevance explanations and next steps, unlike a simple keyword search.
Compared to similar skills
search side by side with the closest alternatives in the catalog.
Try saying
Example prompts that trigger this skill in your AI assistant.
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