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Research Refine

Turns a vague research idea into a focused, implementable method plan via iterative reviewer feedback

Stars
18,482
Licence
MIT
Files
1 file

What it does

When installed, the agent takes a fuzzy research direction and works through a structured loop: it freezes the original problem as a fixed anchor, scans grounding papers, proposes the smallest adequate method, sends the draft to an external reviewer model (named GPT-6-Astra, reached through an MCP connection), and revises until the reviewer's score reaches 9 or five rounds pass. The output is a saved set of round files and a final proposal in a refine-logs folder, with checkpoint state so an interrupted session can resume.

Great for

  • Researchers who have a problem in mind but an unclear technical approach
  • Students drafting a paper method who want to avoid overbuilt ideas
  • Teams wanting a documented, reviewed trail of how a research plan evolved

Skip it if

  • Simple one-off brainstorming, since the multi-round review loop is slow and token-heavy
  • Users without access to the external reviewer model or MCP servers, because the core loop depends on them and the skill has no fallback described in the file
  • Tasks needing guaranteed-accurate literature claims, because it relies on web search and model judgement that the file does not verify

Try asking

  • “Refine my approach for detecting drift in sensor data before I write the methods section”
  • “Decompose this problem: reducing hallucinations in a retrieval-augmented QA system”
  • “帮我细化方案 for a low-cost fine-tuning method for small clinical language models”
  • “Turn this vague idea into a concrete research plan that stays simple and focused”
Step-by-step guide: how to use Research RefineInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    research-refine.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip research-refine.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip research-refine.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Provide the problem and a rough approach in a clear 'problem | approach' form so the Problem Anchor is accurate
  • Check the refine-logs folder after each run, since the score history and final report show the reasoning behind changes
  • Keep the reviewer backend configured in .aris/reviewer.json to avoid falling back to defaults you did not choose

What's inside

  • SKILL.md

Redistributed unmodified from wanshuiyin/Auto-claude-code-research-in-sleep under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.