resource-capability-distiller
Skill1 starsChanged 37 days agoNo licenceView on GitHub
Use when 用户要从教程与演示、源码与规范、成功或失败产物等多源材料中提炼可复用 Agent 能力,并判断每个能力单元应新建 Skill、增强既有资产、进入确定性执行或行为验证载体,还是不沉淀;普通摘要、正式成文、单一领域建模和目标已明确的局部编辑不触发。
In this repository21 other files it gives its agents.
- AGENTS.mdAGENTS.md
- business-website-plannerSkill
- document-authoringSkill
- fiction-visual-designerSkill
- grill-meSkill
- hanzi-philologySkill
- huaxia-practical-wisdomSkill
- java-service-code-generatorSkill
- learning-coachSkill
- llm-coding-hygieneSkill
- novelistSkill
- payment-expertSkill
- payment-funds-reviewSkill
- product-architecture-expertSkill
- requirement-acceptance-testingSkill
- security-engineering-expertSkill
- senior-software-architectSkill
- ui-design-expertSkill
- wind-coding-conventionsSkill
- wise-agentSkill
- yuque-document-publisherSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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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.

