content-personalization
Adapts textbook content complexity based on user's software/hardware background to optimize learning experience.
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Adapts textbook content complexity based on user's software/hardware background to optimize learning experience.
An accountability partner for long-term learning journeys. Use when starting a study session to pick up where you left off, get progress summaries, receive quizzes on book material, get guidance on projects, tr...
Integrate Google Gemini API for AI-powered QA checklist generation and structured output. Use when working with Gemini API calls, generating QA checklists from design specs, parsing AI responses, or implementin...
Interactive clarification mode for uncertain situations. Use only when user invokes with --askme flag.
Guide technology selection workflow and ADR creation. Use when user asks about choosing a technology, comparing options, or needs to make a tech decision. Orchestrates discovery, evaluation, and documentation.
プレゼンテーション作成、編集、分析。推奨:プロフェッショナルなデザインの一貫性を保つため、プレゼンテーション作成時は常に既存のテンプレートを使用してください。サポート:(1) テンプレートベースの作成(推奨)、(2)...
A test skill in markdown format
Unified memory substrate. Store facts, patterns, and context. Query with remember, consult, and stats commands.
Knowledge retrieval from multiple sources. Search docs, web, and code with intelligent routing.
Agency and execution. Edit code semantically, invoke LLMs, search the web, query security services, and discover relevant skills.
Document user-facing features in a codebase. Use when asked to document features, explain what software does, or generate feature docs. Identifies features (not technical layers), then produces numbered markdow...
Research-driven investigation skill for validating solutions and exploring documentation. Never ask questions you can answer yourself through research. Use WebFetch, WebSearch, and testing to validate ideas bef...
Create interactive H5P content for Moodle and web platforms. Use when building interactive exercises, quizzes, or multimedia learning content.
Critical thinking partner for technical concepts and strategy. Use when the user wants to explore technical ideas, validate assumptions, or develop strategy. Claude researches the user's Obsidian notes to under...
Search hippocampus knowledge base for documentation, conventions, patterns, and how-to guides (discovery: requirements-clarity). Evaluate at requirements-clarity when user asks "how do I...", "find my...", "wha...
Slide development expertise for Slide-Vibing/Reveal.js presentations. Use when creating slides, modifying slide structure, adding animations, configuring comments, or working with the slides-runtime.js API.
Run timed flashcard drills when user says "drill " (e.g., "drill bitwise", "drill 1-bitwise", "drill arrays"). Reads all flashcards upfront, quizzes rapidly, logs results, drills missed cards, then updates READ...
Guide for creating effective Claude Code skills. Use when users want to create a new skill, update an existing skill, package a skill for distribution, or need guidance on skill structure and best practices. Tr...
Use when creating new skills, improving existing skills, or when the user requests help with skill authoring. Creates optimized Claude Code skills (SKILL.md files) following official best practices for descript...
Automatically designs, initializes, implements, validates, and packages new skills from a single high-level request. Use when the user gives a short, possibly vague description like "社内Redshift向けのSQLヘルパ...
Codex CLI用のスキル作成ガイド。YAML frontmatter、ディレクトリ構造、ベストプラクティスを解説。Use when creating new Codex skills, updating existing skills, or learning about Codex skill development.
Use for systematic debugging and root cause analysis with Codex. Triggers on "codex debug", "codex root cause", "have codex investigate this bug", "codex find the issue".
Use for code review and quality feedback from Codex. Triggers on "codex review code", "codex code review", "have codex review this", "get codex feedback on code".
Use when user wants to ask Codex a question, get a second opinion, or consult with gpt-5.2. Triggers on phrases like "ask codex", "codex opinion", "what does codex think".
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.