agentleFS
yogsoth-aiyogsoth-ai/knowledge-structuring/skills/wiki-search/SKILL.md

wiki-search

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

SOP wrapping vault_search — BM25 full-text search across vault pages. Returns ranked results with snippets.

4 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Search the vault for existing pages matching a query.

    line 10
  2. Distinctive:

    Do NOT search with single characters or pure stop words.

    line 16
  3. Very specific:

    Call vault_search with query and optional filters

    line 35

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Wiki Search

Search the vault for existing pages matching a query. Used before creating new pages (deduplication) and for finding related content.

HARD-GATE

<HARD-GATE> Query must be non-empty and contain at least one meaningful term. Do NOT search with single characters or pure stop words. </HARD-GATE>

Tool

vault_search

Parameters

ParamRequiredDescription
queryyesSearch query (natural language or keywords)
typenoFilter by entity types (e.g., ["concept", "claim"])
tagsnoFilter by tags
limitnoMax results (default 20)

Protocol

  1. Formulate query from the concept/topic you need to check
  2. Call vault_search with query and optional filters
  3. Examine results: score > 5.0 indicates strong match (potential duplicate)
  4. Return results to calling tactic with match assessment

Yield

Returns: { results_count: number, top_score: number, potential_duplicates: string[] }

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Your trail

Files you open will collect here, so you can find them again.

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