write-introduction
Skill0 starsChanged 2 months agoNo licenceView on GitHub
顶刊论文 Introduction 段落骨架生成器——按 Gap 类型生成各功能模块（Hook→…→Contribution）骨架。触发词：写引言、引言改稿（含不够像范文的返工）、hook/gap 怎么写、贡献声明、problematization。Not for: 蒸馏→distill-introduction-exemplar；审查→intro-review；诊断→diagnose-introduction。
2 other projects use a version of this.
Adopted by
Most recently taken up by
- bernard-ng/skillstheir own version, first seen Oct 11, 2026
- AlessandroCaforio/Academic-Writingtheir own version, first seen Feb 17, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- AlessandroCaforio/Academic-Writing★ 17same name
- bernard-ng/skills★ 4same name
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.
In this repository55 other files it gives its agents.
- humanizer/AGENTS.mdAGENTS.md
- _pi-config/AGENTS.mdAGENTS.md
- ai-disclosureSkill
- causal-analysisSkill
- check-methodologySkill
- diagnose-introductionSkill
- did-analysisSkill
- discussion-reviewSkill
- distill-introduction-exemplarSkill
- distill-methods-exemplarSkill
- distill-paper-exemplarSkill
- distill-results-exemplarSkill
- distill-story-exemplarSkill
- distill-theory-exemplarSkill
- empirical-intakeSkill
- empirical-pipeline-pythonSkill
- empirical-pipeline-stataSkill
- empirical-writeupSkill
- exploratory-data-analysisSkill
- grill-the-claimSkill
- handoffSkill
- humanizerSkill
- human-writingSkill
- huntington-klein-causal-designSkill
- intro-reviewSkill
- latex-tablesSkill
- literature-notes-obsidianSkill
- methods-reviewSkill
- miles-management-organization-theoriesSkill
- ml-analysisSkill
- notebooklm-pipelineSkill
- officecliSkill
- paper-reviewSkill
- paper-state-protocolSkill
- paper-story-contractSkill
- paper-writing-stackSkill
- polishSkill
- pollock-qcSkill
- proofreadSkill
- python-panel-dataSkill
- research-gap-diagnosisSkill
- results-reviewSkill
- reverse-validation-pipelineSkill
- revision-coachSkill
- run-empirical-researchSkill
- stata-data-cleaningSkill
- stataSkill
- theory-reviewSkill
- toc-reviewSkill
- tod-debateSkill
- wooldridge-econometricsSkill
- write-methodsSkill
- write-resultsSkill
- write-theorySkill
- writing-for-agentsSkill
The file
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.