research-pipeline
Skill8 starsChanged 8 months agoNo licenceView on GitHub
Full research pipeline: Workflow 1 (idea discovery) → implementation → training → real experiments → validation → review → paper. Use when user says \"全流程\", \"full pipeline\", \"从找idea到投稿\", \"end-to-end research\", or wants the complete autonomous research lifecycle.
We split this skill into the rules it gives an agent
32 rules. 0 are common, 32 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 12 edited versions we read keep these.
32
Distinctive
This author's own choices. Worth a look.
0
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.
Other versions15 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- Shri-Phnx/claude-skills★ 211% same
Wrote their own version · 14
- wanshuiyin/Auto-claude-code-research-in-sleep★ 18ksame name
- tsingyuai/scientify★ 2.2ksame name
- SamCuipogobongo/research-pipeline★ 18same name
- catalsqlb-cmd/Prism-H★ 16same name
- meteora-pro/devboy-tools★ 14same name
- sergeeey/Claude-cod-top-2026★ 9same name
- Yulivu/debuffer-skills★ 9same name
- TheVeller/claude-skills★ 3same name
- callowayproject/agent-skills★ 2same name
- raja21068/AutoResearch★ 2same name
4 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects 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.
raja21068Skillexperiment-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
rongaredeSkillsemantic-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
In this repository26 other files it gives its agents.
- analyze-resultsSkill
- arxivSkill
- auto-paper-improvement-loopSkill
- auto-review-loop-llmSkill
- auto-review-loop-minimaxSkill
- auto-review-loopSkill
- dse-loopSkill
- feishu-notifySkill
- idea-creatorSkill
- idea-discovery-robotSkill
- idea-discoverySkill
- idea-validationSkill
- monitor-experimentSkill
- novelty-checkSkill
- paper-compileSkill
- paper-figureSkill
- paper-planSkill
- paper-writeSkill
- paper-writingSkill
- pixel-artSkill
- preflight-hpcSkill
- proof-writerSkill
- research-litSkill
- research-reviewSkill
- run-experimentSkill
- validate-experimentSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.