meta-skill-validation-dev
Validate Claude Code skills against best practices. Use when checking skill quality, running validation, or creating improvement issues.
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Validate Claude Code skills against best practices. Use when checking skill quality, running validation, or creating improvement issues.
Used to create a new skill. Used when a user wants to create a new skill
Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.
Extract data from files related to SANS courses.
Creates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives with meaningful distractors based on common misconceptions. Activate when educators design quizzes, exams, or tests measuring understanding; need questions at appropriate cognitive levels (Bloom's taxonomy); want balanced cognitive distribution (60%+ non-recall); or require rubrics for open-ended questions. Generates MCQs with diagnostic distractors, code-writing prompts, debugging challenges, and project-based assessments targeting deep understanding.
Expert-level education technology, learning management systems, and ed-tech platforms
Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"
Creates 4 high-quality MCQs with full explanations and correct answer marked
Foundational Python patterns covering core syntax, idioms, type hints, testing, and modern tooling. Use when writing Python code, understanding Pythonic patterns, working with type hints, or needing guidance on which specialized Python skill to use. This is the entry point for Python development.
Master specialized tech careers including Product Management, Engineering Management, DevRel, Technical Writing, QA, Blockchain, Game Development, Cybersecurity, and UX Design. Navigate multiple career paths beyond traditional software development.
Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"
CRITICAL AUTOMATION: Automatically performs comprehensive study guide verification using the study-guide-analyzer agent. ACTIVATES when user requests accuracy verification, post-creation validation, or analysis of existing study guides. Launches the study-guide-analyzer agent to implement systematic 6-step verification protocol, ensuring study guides contain only source-accurate information with complete coverage and proper formatting.
Foundational C programming patterns covering type system, memory management, pointers, arrays, preprocessor, compilation, concurrency (pthreads, mutexes, atomics), serialization (binary, JSON, struct packing), and testing (Unity, CMocka, Check). Complete 8/8 pillar coverage. Use when writing C code, understanding manual memory management, working with system-level programming, or needing guidance on which specialized C skill to use. This is the entry point for C development.
Technical writing excellence - documentation, API references, tutorials, and guides that users actually understand. Clear, accurate, useful.
Use when needing to discover available skills across project/user directories - automatically scans for SKILL.md files, parses YAML frontmatter, extracts metadata (name, description, type, MCP requirements), and builds comprehensive skill catalog. Enables intelligent skill selection and auto-invocation. NO competitor has automated skill discovery system.
Explores internal documentation (brain repos, Notion) for context
Guide for understanding and contributing to the awesome-ai-security curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).
Systematic debugging framework with root cause investigation, tracing, defense-in-depth validation, and verification. Use when: 'bug', 'test failure', 'unexpected behavior', 'error', 'not working', 'broken', before proposing fixes, when encountering any technical issue
問題診断Agent - ユーザーの質問を深く診断し、論理的な穴、隠れた仮定、思考の誤りを指摘する
Generate comprehensive CTF writeups as blog articles. Use when solving a challenge, documenting solutions, or when /writeup command is invoked.