fan-out
Skill1 starsChanged 59 days agoNo licenceView on GitHub
User-invoked only — reachable exclusively through the /fan-out slash command. Do NOT load or act on this skill because a task looks parallelisable, because the user mentions sub-agents, critics, parallel work, multiple approaches, or reviewing agent output, or because it would be faster. Those are not invocations. If the user has not typed /fan-out or named the fan-out method by name, this skill does not apply — answer the request directly instead. When it IS invoked: fans one task out to parallel sub-agents against a single sealed brief and allocation plan, each in a lane of its own, has independent critics judge each candidate against a rubric written before the work started, verifies fixes against the delta only so approved work is never re-reviewed, integrates the lanes and judges their seams, and folds one result with an evidence trail.
- Reads credentials
8 other projects use a version of this.
Adopted by
Most recently taken up by
- Suge8/friedbuntheir own version, first seen Nov 8, 2026
- keli-wen/rondotheir own version, first seen Oct 25, 2026
- stjarnstrom/spec-systemtheir own version, first seen Oct 15, 2026
- keli-wen/dev-skillstheir own version, first seen Oct 13, 2026
- me2resh/apexyardtheir own version, first seen Oct 8, 2026
- darrenCWJ/agent-skills-scaffoldtheir own version, first seen Aug 9, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- me2resh/apexyard★ 542same name
- keli-wen/dev-skills★ 12same name
- keli-wen/rondo★ 12same name
- Suge8/friedbun★ 12same name
- darrenCWJ/agent-skills-scaffold★ 0same name
- haliphax-ai/skills★ 0same name
- reaatech/mcp-gateway★ 0same name
- stjarnstrom/spec-system★ 0same 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 repository9 other files it gives its agents.
- book-writerSkill
- gaiaSkill
- game-engine-guruSkill
- gauntlet-loopSkill
- mission-controlSkill
- physically-based-renderingSkill
- principal-architectSkill
- reasoning-matrixSkill
- story-refinerySkill
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 5 are distinctive, and 7 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
7
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 measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “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.