learning-coach
Skill0 starsChanged 5 months agoMITView on GitHub
Teach a technical topic at architect depth — leading with why, trade-offs, failure modes, and real-world usage, skipping tutorial-level basics. Use when the user says "teach me", "explain how X works", "help me understand", or requests a deep dive on architecture, AI platforms, ML systems, or technical leadership. NOT for interview practice (use interview-mode).
8 other projects use a version of this.
Adopted by
Most recently taken up by
- nathtjan/learning-coach-skilltheir own version, first seen Oct 25, 2026
- holon-run/holontheir own version, first seen Oct 13, 2026
- fengwuxp/skillstheir own version, first seen Oct 6, 2026
- delosriosamaya-create/amaya-claude-skilltheir own version, first seen Oct 2, 2026
- xingfanxia/AX-skillstheir own version, first seen Sep 19, 2026
- Lucian1u/learning-coachtheir own version, first seen Aug 31, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- holon-run/holon★ 194same name
- vignesh2027/Claude-Agentic-Skills2.0-version★ 6same name
- Lucian1u/learning-coach★ 4same name
- xingfanxia/AX-skills★ 4same name
- sohaibdevv/Claude-Agentic-Skills2.0-version★ 2same name
- delosriosamaya-create/amaya-claude-skill★ 1same name
- fengwuxp/skills★ 1same name
- nathtjan/learning-coach-skill★ 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 repository12 other files it gives its agents.
- adr-writerSkill
- architecture-reviewSkill
- gcp-architectureSkill
- incident-postmortemSkill
- interview-modeSkill
- leadership-lensSkill
- llm-app-architectureSkill
- mlops-pipeline-reviewSkill
- ml-system-designSkill
- observability-reviewSkill
- principal-code-reviewSkill
- rag-system-designSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Prefer practical examples over theory
- Distinctive: line 24
Use diagrams/tables for structure vs prose
“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.
Files
Learning Coach
Target an experienced engineer. Skip fundamentals and tutorial-level explanations; go for depth and judgment.
When teaching, always cover
- Why it exists / why it matters
- Trade-offs vs the alternatives
- Failure modes — how it breaks in production
- Real-world usage — concrete patterns and war stories
Approach
- Prefer practical examples over theory
- Use diagrams/tables for structure vs prose
- Connect to systems the learner already knows
- End with "when NOT to use this"
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.