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research-pipeline

Skill1 starsChanged 6 months agoNo licenceView on GitHub

Drives a HUMAN-LED, multi-stage research workflow (ideation -> literature review -> problem framing & novelty -> hypothesis & planning -> experimentation -> validation -> reporting) in which Claude acts strictly as an implementation engine while the researcher does the thinking. Use this whenever the user wants to start, structure, or advance a research project, paper, thesis chapter, or study. Trigger it for things like "I have a research idea", "help me frame this", "find / screen papers on X", "write a problem statement", "is this novel?", "help me design an experiment", or "let's write a paper" -- and especially when the user wants a rigorous, fully provenance-tracked process rather than a quick answer. The skill keeps a workspace where every link, term, assumption, inference, and decision is written down as it happens, and it counter-questions the user instead of thinking for them. This is the opposite of an autonomous "AI scientist": the human owns every intellectual commitment; Claude owns retrieval, structuring, bookkeeping, drafting scaffolds, and running tools.

15 other projects use a version of this.

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Projects with it also use experiment-bridge, resubmit-pipeline and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • raja21068Skill

    experiment-bridge

    Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says \"实现实验\", \"implement experiments\", \"bridge\", \"从计划到跑实验\", \"deploy the plan\", or has an experiment plan ready to execute.

    Also in 4 projects that use this

  • raja21068Skill

    resubmit-pipeline

    Workflow 5: orchestrate a text-only resubmit of a polished paper to a different venue under hard constraints (no new experiments, no bib edits, no framework changes, never overwrite prior submissions). Phase 0 physical isolation, Phase 0.5 health + anonymity check, Phase 1 audit (proof / claim / citation), Phase 2 microedits via auto-loop with edit-whitelist + citation-audit --soft-only, Phase 3 kill-argument adversarial gate, Phase 4 final compile + Overleaf push via /overleaf-sync. Use when user says \"resubmit pipeline\", \"重投流程\", \"port paper to <new venue>\", \"resubmit to <venue>\", \"tighten paper for resubmission\", or has a rejected/withdrawn paper to move to a different top venue under tight time budget.

    Also in 4 projects that use this

  • rongaredeSkill

    semantic-scholar

    使用 Semantic Scholar API 检索和验证学术论文。支持并发多关键词搜索、批量 ID/DOI 查询、引用分析、批量补全摘要、统一 Markdown 导出。覆盖 2.14 亿+ 学术论文，无需 API Key 即可使用。触发词：论文检索、论文验证、Semantic Scholar、S2 搜索、查论文、补全摘要、导出MD

    Also in 5 projects that use this

  • +9 more from raja21068

The file

We split this skill into the rules it gives an agent

12 rules. 0 are common, 8 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 12 edited versions we read keep these.

  • 8

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 12 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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