task-planning-and-solution-design
Skill0 starsChanged 4 months agoNo licenceView on GitHub
将已经澄清过的需求整理成任务拆分、技术方案、设计资源说明和代码修改方案。适用于需要从需求分析进入可执行方案阶段的场景,默认结合当前工作区的项目约束、设计输入和代码范围信息推进。
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
- req-reportSkill
- requirement-clarificationSkill
- requirement-to-code-pipelineSkill
- review-fix-loopSkill
- skill-controllerSkill
- skill-governanceSkill
- solution-boundary-reviewSkill
- 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.

