Agent Skills: Exa Research

Run Exa-backed deep research, neural search, and page-content retrieval with bounded result and page-read counts. Use when a task needs Exa Search, Exa Contents, or Exa Research inside a source-discovery or benchmark workflow.

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

Install this agent skill to your local

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

Skill Files

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

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

Skill Metadata

Name
deep-research-exa
Description
Run Exa-backed deep research, neural search, and page-content retrieval with bounded result and page-read counts. Use when a task needs Exa Search, Exa Contents, or Exa Research inside a source-discovery or benchmark workflow.

Exa Research

Use this skill for neural web search, source discovery, and Exa's agentic deep research endpoint.

Environment

op run --env-file .env.climbhill -- python .agents/skills/deep-research-exa/scripts/exa_tools.py \
  search "deepresearch the deepresearchers" \
  --num-results 5 \
  --highlights

Required 1Password-backed variable:

  • EXA_API_KEY

Cost Controls

  • Use the search command with --num-results 5 --highlights for under-$1 benchmark smokes.
  • Use research --model exa-research only when the task needs Exa's agentic research endpoint.
  • For search-only tasks, cap --num-results to 5 or fewer.
  • Avoid broad content reads unless the task requires full-page extraction.

Current Source Links

  • https://exa.ai/docs/reference/search-api-guide
  • https://exa.ai/docs/changelog