{{name}}
Skill1 starsChanged 23 days agoMITView on GitHub
{{description}}
3 other projects use a version of this.
Adopted by
Most recently taken up by
- tjmustard/eta-skillstheir own version, first seen Nov 1, 2026
- mwnickerson/skillstheir own version, first seen Aug 13, 2026
- M1hairu/skillstheir own version, first seen Aug 12, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- M1hairu/skills★ 2same name
- mwnickerson/skills★ 1same name
- tjmustard/eta-skills★ 1same 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 repositoryOne other file it gives its agents.
- templates/AGENTS.mdAGENTS.md
The file
Files
{{name}} — {{summary}}
A manual, not a procedure dump. Loaded on demand, so it may be long — but past ~150 lines ask whether two domains are hiding in one.
When to load
- {{need}}
- <more trigger situations, in the owner's words>
Record format
One line per record, 1-data/{{name}}-YYYY-MM.jsonl:
{"date": "YYYY-MM-DD", "what": "...", "note": "..."}| field | required | meaning |
date | yes | the day it happened, not the day it was written |
what | yes | one noun phrase |
note | no | one sentence |
Rules
<a convention someone would get wrong without being told><what counts as one record vs two>
How to work
Numbers come from a script under 4-engine/; the model understands the request and
explains the result. It never does the arithmetic itself.
python 4-engine/report.py --weekMaintenance
| when | do |
| after each run | append one block to the event log |
| a rule changed | append one line to the decision log |
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.