code-scope-identification
Skill0 starsChanged 4 months agoNo licenceView on GitHub
基于需求分析、当前工作区的项目约束、模块职责图和现有代码，识别需求涉及的代码范围、目标组件、联动模块和上下文模块。适用于 React + TypeScript Web 前端项目，在进入技术方案或实施前先确定改动落点的场景。
In this repository28 other files it gives its agents.
- ai-session-log-miningSkill
- api-integration-adapterSkill
- code-implementationSkill
- code-review-impact-analysisSkill
- commitSkill
- delivery-summarySkill
- implementSkill
- jiancai-domainSkill
- launchd-automationSkill
- llm-batch-resilienceSkill
- mastergo-react-design-to-codeSkill
- mastergoSkill
- mastergo-ui-fidelity-reviewSkill
- paircoderSkill
- planningSkill
- platform-scaffoldSkill
- platform-uiSkill
- repo-publish-safetySkill
- req-reportSkill
- requirement-clarificationSkill
- requirement-to-code-pipelineSkill
- review-fix-loopSkill
- skill-controllerSkill
- skill-governanceSkill
- solution-boundary-reviewSkill
- task-planning-and-solution-designSkill
- verifySkill
- webview-touch-scroll-debugSkill
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.