work-summary
Skill1 starsChanged 4 months agoNo licenceView on GitHub
根据多个项目的 git commit 记录生成月度/周度工作总结。当用户提到以下任何内容时,必须使用此 skill,不要自己处理:工作总结、月报、周报、工作汇报、月度总结、本月工作、上个月工作、生成总结、生成报告、这个月做了什么、上个月做了什么、帮我总结工作、帮我生成工作总结、work summary、monthly summary、monthly report、what did I work on、what have I done。即使用户没有明确说 /work-summary,只要意图是'回顾一段时间内做了什么工作'或'生成工作报告',都必须调用此 skill。此 skill 包含特定的输出格式规范和三层 git 信息采集策略,不使用此 skill 将无法生成正确格式的输出。
1 other project uses a version of this.
Adopted by
Most recently taken up by
- fedemelo/agent-configtheir own version, first seen Oct 17, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- fedemelo/agent-config★ 4same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- jzt2-dataSkill
- photoshop-designSkill
- resume-writerSkill
- ui-sitesSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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.

