req-report
Skill0 starsChanged 4 months agoNo licenceView on GitHub
拿到一份需求输入（文字描述、需求文档、聊天记录、截图说明）后，生成一份固定结构的需求分析报告，包含背景、选项、权衡、结论四个部分。适用于用户说"生成需求分析报告"、"分析一下这个需求"、"这个需求怎么做比较好"、"帮我评估几种做法"、"出一份分析报告"等场景，即使用户没有明确说"报告"二字，只要意图是对一个需求做多方案对比并给出结论，就应使用本 skill。与 requirement-clarification 的区别：本 skill 产出的是一次性的决策型报告（重在选项对比与结论），不走交互式澄清和确认 gate 流程。
In this repository28 other files it gives its agents.
- ai-session-log-miningSkill
- api-integration-adapterSkill
- code-implementationSkill
- code-review-impact-analysisSkill
- code-scope-identificationSkill
- 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
- 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.