research-refine-pipeline
Run an end-to-end workflow that chains `research-refine` and `experiment-plan`. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to \"\u4e32\u8d77\u6765\", build a pipeline, do it end-to-end, or generate both the method and experiment plan together.
npx skills add majiayu000/claude-skill-registry --skill research-refine-pipeline-wanshuiyin-auto-claude-code-res --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Research Refine Pipeline: End-to-End Method and Experiment Planning Refine and concretize: **$ARGUMENTS** ## Overview Use this skill when the user does not want to stop at a refined method. The goal is to produce a coherent package that includes: - a problem-anchored, elegant final proposal - the review history explaining why the method is focused - a detailed experiment roadmap tied to the paper's claims - a compact pipeline summary that says what to run next This skill composes two existing workflows: 1. `research-refine` for method refinement 2. `experiment-plan` for claim-driven validation planning For stage-specific detail, read these sibling skills only when needed: - `../research-refine/SKILL.md` - `../experiment-plan/SKILL.md` ## Core Rule Do not plan a large experiment suite on top of an unstable method. First stabilize the thesis. Then turn the stable thesis into experiments. ## Default Outputs - `refine-logs/FINAL_PROPOSAL.md` - `refine-logs/REVIEW_SUMMARY.md` - `refine-logs/REFINEMENT_REPORT.md` - `refine-logs/EXPERIMENT_PLAN.md` - `refine-logs/EXPERIMENT_TRACKER.md` - `refine-logs/PIPELINE_SUMMARY.md` ## Workflow ### Phase 0: Triage the Starting Point - Extract the p
- Overview
- Core Rule
- Default Outputs
- Workflow
- Phase 0: Triage the Starting Point
- Phase 1: Method Refinement Stage
- Phase 2: Planning Gate
- Phase 3: Experiment Planning Stage
- Phase 4: Integration Summary
- Phase 5: Present a Brief Summary to the User
- Output Protocols
- Key Rules
- Composing with Other Skills
What does the research-refine-pipeline skill do?
Run an end-to-end workflow that chains `research-refine` and `experiment-plan`. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to \"\u4e32\u8d77\u6765\", build a pipeline, do it end-to-end, or generate both the method and experiment plan together.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill research-refine-pipeline-wanshuiyin-auto-claude-code-res --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.