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adamos486 AI Skills

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Browse published AI skills maintained by adamos486. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

31

Repository forks

0

Average repository stars per indexed skill

4

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

teach

adamos486

Transforms technical documents into adaptive learning sessions with just-in-time prerequisite assessment, foundation building via web search, and verified understanding through quizzes and exercises. Use when u...

GitHub

production-ready

adamos486

Use when preparing any project for production deployment, performing security audits, or release preparation. Triggers on "make production ready", "security audit", "prepare for release", "hardening", "pre-depl...

GitHub

superbuild

adamos486

Use when executing implementation plans phase-by-phase with strict enforcement of quality gates, tests, and Definition of Done. Triggers on "build this plan", "execute plan", "implement phases", or when user pr...

GitHub

dadjoke

adamos486

Provides a curated list of 10+ classic and obscure dad jokes. Use this skill when an AI needs to quickly generate some humorous dad jokes, such as in casual conversation or to lighten the mood.

GitHub

song-lyrics

adamos486

Provides insights and techniques from renowned songwriters across different genres to help users improve their own lyrical compositions.

GitHub

superplan

adamos486

Use when starting significant features, epics, or complex tasks. Creates multi-phase implementation plans with parallelizable phases, poker estimates, TDD-first acceptance criteria, and quality gates. Detects t...

GitHub

golang-cli-review

adamos486

Comprehensive code review for Golang CLI applications. Produces an actionable checklist covering error handling, CLI framework patterns (Cobra/urfave), testing, performance, security, and Go idioms. TRIGGERS:...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.