agent-design
Skill0 starsChanged 2 days agoNo licenceView on GitHub
How Affan designs, prompts and tunes AI agents, taken from creator-agent, mini-cua and super-agent. One agent in one loop, a bare code tool instead of many tools, prompts over machinery, failures explained to the model, the fewest turns and agents, cache-stable history, done judged on evidence, and the model proposing while something small decides. Use whenever designing, building, prompting, debugging, tuning or reviewing an agent, a harness, an agent loop, tool definitions, a system prompt, a judge or validator, or a multi-agent setup; whenever an agent misbehaves, loops, is slow, wastes turns or claims done falsely; and whenever someone asks how to make an agent faster, more reliable or more general.
14 other projects use a version of this.
Adopted by
Most recently taken up by
- mariomile/builder-ostheir own version, first seen Nov 1, 2026
- xiaolai/cc-suitetheir own version, first seen Oct 19, 2026
- bingyue/fde-skillstheir own version, first seen Oct 13, 2026
- The-Utopia-Studio/skillstheir own version, first seen Oct 13, 2026
- nimadorostkar/Claude-Skills-collectiontheir own version, first seen Oct 13, 2026
- BULDEE/ai-craftsman-superpowerstheir own version, first seen Sep 21, 2026
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- wibus-wee/cradle-app★ 75same name
- nahid-sparktales/agent-dispatcher★ 59same name
- xiaolai/cc-suite★ 56same name
- BULDEE/ai-craftsman-superpowers★ 35same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- The-Utopia-Studio/skills★ 6same name
- bingyue/fde-skills★ 5same name
- Minions-Land/Soup_Drinking★ 4same name
- tienenwu/fables★ 4same name
- freezingfunky/ashwin-skills★ 2same name
4 more not listed
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 repository10 other files it gives its agents.
- agent-docsSkill
- coding-standardsSkill
- delegateSkill
- litellmSkill
- macos-dmgSkill
- prove-and-optimizeSkill
- relaunchSkill
- shipSkill
- tasteSkill
- verifySkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
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 11 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.