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#319319th of 463 in Skills, plugins and promptsFor science, health and research, research and papers

deep-research-skills

Research workflow skills for Claude Code, OpenCode and Codex

Repository on GitHub ↗ (opens in a new tab)
Stars
2.5k
License
MIT
Last commit
Aug 2026
Language
Python

Missed the latest GitHub check; these facts may be older.

Overview

A set of skills and sub-agent definitions that run a human-in-the-loop research workflow inside Claude Code, OpenCode or Codex. /research builds an outline of items and fields, /research-deep investigates each item with parallel web-search agents, and /research-report compiles the JSON results into a markdown report. English and Chinese versions are included.

Who it is for: Claude Code, OpenCode or Codex users who need structured web research reports

Strengths

  • Outline can be extended with /research-add-items and /research-add-fields before deep research starts
  • Same workflow packaged for three hosts: Claude Code, OpenCode and Codex
  • Deep phase runs parallel agents per item and stores results as JSON
  • Final report.md is generated from the structured results

Weaknesses

  • Installation is manual file copying into ~/.claude, ~/.config/opencode or ~/.codex
  • Requires pyyaml and a separate web-search agent install
  • OpenCode needs OPENCODE_ENABLE_EXA=1 for usable web search
  • No release published; no output quality benchmarks described

What it needs

  • no GPU
  • Needs Claude Code, OpenCode or Codex, pyyaml, OPENCODE_ENABLE_EXA=1 (OpenCode)
  • Models: Claude Code models, OpenCode (default gpt-5.4), Codex

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