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luongnv89/claude-howto

Agent skills in the GitHub repository luongnv89/claude-howto, each with its code score out of 100.

A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.

Repository score
58 / 100 C
Skills
14
Verified
3
Average skill score
54
GitHub stars
47,000
License
MIT

Open luongnv89/claude-howto on GitHub

14 skills in this repository

  1. self-assessment

    Comprehensive Claude Code self-assessment and learning path advisor. Runs a multi-category quiz covering 10 feature areas, produces a detailed skill profile with per-topic scores,…

    Verified90A
  2. lesson-quiz

    Test a learner on a single Claude Code tutorial lesson (01-10) with 10 questions, scoring answers and flagging weak spots. Use before, during, or after a lesson. Don't use for who…

    Verified84B
  3. refactor

    Systematic code refactoring based on Martin Fowler's methodology. Use when users ask to refactor code, improve code structure, reduce technical debt, clean up legacy code, elimina…

    Verified82B
  4. claude-md

    Create or update CLAUDE.md files following best practices for optimal AI agent onboarding

    76B
  5. blog-draft

    Draft a blog post from ideas and resources. Use when users want to write a blog post, create content from research, or draft articles. Guides through research, brainstorming, outl…

    61C
  6. code-review-specialist

    Comprehensive code review with security, performance, and quality analysis. Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review…

    61C
  7. doc-generator

    Generate comprehensive, accurate API documentation from source code. Use when creating or updating API documentation, generating OpenAPI specs, or when users mention API docs, end…

    52D
  8. brand-voice

    Ensure all communication matches brand voice and tone guidelines. Use when creating marketing copy, customer communications, public-facing content, or when users mention brand voi…

    51D
  9. 43D
  10. 40D
  11. 34F
  12. 31F
  13. 29F
  14. 27F

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.