full-auto
Skill9 starsChanged 5 months agoNo licenceView on GitHub
全托管自动执行模式。接收任务描述后,自主完成全部工作(理解→规划→执行→自我验收), 无需用户介入。内置 Task Reviewer 机制:执行完毕后自动 review 代码 diff, 对照任务描述和验收标准逐项检查,未通过则自动修复重试。 触发词:/full-auto、全托管、自动执行、autopilot、无人值守执行。
- Installs packages
In this repository22 other files it gives its agents.
- image-to-editable-ppt-skill/AGENTS.mdAGENTS.md
- ai-literature-surveySkill
- autodebugSkill
- autorunSkill
- paper-readSkill
- db-analyzeSkill
- frontend-designSkill
- generate-docsSkill
- gpt-imageSkill
- idea2experimentSkill
- idea2paperSkill
- impeccableSkill
- latex-float-layoutSkill
- mysql-motiondataSkill
- nature-paper-cardSkill
- paperjurySkill
- query-motion-databaseSkill
- research-paper-writingSkill
- reverse-engineer-anythingSkill
- sync-ceph-dataSkill
- thesis-reviewSkill
- track-ai-papersSkill
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.

