snowflake-ai-research/arcticswarm/tool-usage-policy-browsing-corpus

Claude Code and agent skill by snowflake-ai-research/arcticswarm

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Tool usage guidelines for corpus research agents. Covers parallel tool calling, search strategy, and the search-then-fetch workflow for the static document corpus.

Install

npx vskill@latest install snowflake-ai-research/arcticswarm/tool-usage-policy-browsing-corpus

SKILL.md

The same SKILL.md was published earlier as majiayu000/claude-skill-registry/tool-usage-policy-browsing-corpus.

Tool Usage Policy (Corpus Browsing)

General

  • Call multiple tools in a single response when they are independent.
  • Prefer specialized tools over shell commands:
  • read_file instead of cat/head/tail

Corpus Research Workflow

Use these tools for effective corpus research:

  1. `web_search` — Search the document corpus for relevant text chunks.

Returns scored snippets (~1200-1400 chars each). Use this to discover relevant information and assess what documents to investigate further.

  1. `web_fetch` — Retrieve the full text of a document from the corpus.

Pass a descriptive search query (NOT a URL) describing what document you want to read. Returns the complete document text (~2500-7200 chars). Use when search snippets aren't sufficient and you need the full context.

  1. `calculator` — Evaluate numeric expressions. NEVER calculate mentally.
Search-Then-Fetch Principle
  • Use web_search first to find relevant chunks and identify promising documents.
  • When you need more context than the snippets provide, use web_fetch with

a targeted query to retrieve the full document text.

  • web_fetch searches the corpus independently — it does NOT take URLs.

Describe what you want to read in the query.

Search Strategy

  • Start with broad queries to understand the landscape, then narrow down.
  • Use multiple search queries when the topic has different facets or

terminology — do not rely on a single query.

  • If the first search returns no useful results, rephrase the query using

synonyms or alternative keywords before giving up.

Source Attribution

  • Include evidence from the corpus for every factual claim.
  • When multiple sources conflict, note the discrepancy and cite all sides.

Do Not Guess

  • Do NOT claim a fact without supporting evidence from the corpus — if you

cannot find evidence, say so explicitly.

  • Cross-check key numbers or dates across multiple document chunks when possible.

Sharing Results (Swarm Mode)

  • Post search findings to #key-findings or #discoveries.
  • Include a brief summary of what you found and why it's relevant.

Security

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  • Model reviewPassed

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Source

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