agentic-development
Skill55 starsChanged 13 months agoNo licenceView on GitHub
Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- SwastikPandey1024/agentic-engineering-ostheir own version, first seen Oct 20, 2026
- shrimpmode/claude-skillstheir own version, first seen Oct 15, 2026
- alinaqi/claude-bootstraptheir own version, first seen Oct 8, 2026
- alinaqi/maggytheir own version, first seen Jun 12, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- alinaqi/maggy★ 711same name
- alinaqi/claude-bootstrap★ 708same name
- SwastikPandey1024/agentic-engineering-os★ 1same name
- shrimpmode/claude-skills★ 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 repository19 other files it gives its agents.
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The file
Show its rules and text
We split this skill into the rules it gives an agent
39 rules. 0 are common, 39 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
39
Distinctive
This author's own choices. Worth a look.
0
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 4 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.