shadow-tutor
Skill0 starsChanged 3 months agoNo licenceView on GitHub
Post-session programming tutor for a developer who wants to grow. Use after an AI-assisted coding session to learn from it — it picks the one load-bearing decision the AI made that you most likely don't truly understand, makes you predict why before it reveals (breaking the "I get it" illusion), teaches the why including the rejected alternative, all on your own code. Triggers include "review what we just did", "shadow-tutor", "what should I learn from this", "explain why you did it that way", "help me actually understand this code".
In this repository38 other files it gives its agents.
- agent-browserSkill
- archimateSkill
- architectureSkill
- bpmnSkill
- canvasSkill
- claim-verificationSkill
- cloudSkill
- data-analyticsSkill
- defuddleSkill
- docxSkill
- find-skillsSkill
- frontend-design-proSkill
- frontend-designSkill
- graphifySkill
- graphvizSkill
- infocardSkill
- infographicSkill
- iotSkill
- json-canvasSkill
- math-tutorSkill
- mcp-builderSkill
- mindmapSkill
- networkSkill
- obsidian-basesSkill
- obsidian-cliSkill
- obsidian-markdownSkill
- pdfSkill
- pptxSkill
- programming-tutorSkill
- qwen-mm-plugins-apiSkill
- securitySkill
- shadcnSkill
- tutorSkill
- umlSkill
- vegaSkill
- web-design-guidelinesSkill
- windows-proxy-installSkill
- xlsxSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
3
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 an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
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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.
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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.