Agent-Skills.md

Agent Skills: Tavily Search

Use Tavily Search API for bounded deep research retrieval, RAG-ready snippets, and low-cost web search. Use when a workflow needs search grounding, source discovery, or benchmarkable retrieval rather than full report-writing.

UncategorizedID: closedloop-technologies/awesome-deep-researchers/deep-research-tavily

Repository

closedloop-technologies/awesome-deep-researchers
closedloop-technologiesLicense: MIT
71

Install this agent skill to your local

pnpm dlx add-skill https://github.com/closedloop-technologies/climbhill/tree/HEAD/.agents/skills/deep-research-tavily

Skill Files

Browse the full folder contents for deep-research-tavily.

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.agents/skills/deep-research-tavily/SKILL.md

Skill Metadata

Name
deep-research-tavily
Description
Use Tavily Search API for bounded deep research retrieval, RAG-ready snippets, and low-cost web search. Use when a workflow needs search grounding, source discovery, or benchmarkable retrieval rather than full report-writing.

Tavily Search

Use this skill for low-cost search/retrieval steps inside a deep research workflow. Tavily is usually a retriever, not a full report-writing agent.

Environment

op run --env-file .env.climbhill -- python .agents/skills/deep-research-tavily/scripts/tavily_search.py \
  --query "deepresearch the deepresearchers" \
  --search-depth basic \
  --max-results 5

Required 1Password-backed variable:

  • TAVILY_API_KEY

Cost Controls

  • Use basic, fast, or ultra-fast search depth for benchmark tasks.
  • Use advanced only when the task explicitly needs deeper retrieval.
  • Keep max_results small and avoid raw content unless needed.

Current Source Links

  • https://docs.tavily.com/documentation/api-reference/endpoint/search
  • https://docs.tavily.com/documentation/api-credits