learning-knowledge-base-builder
knowledge-base-builder for learning content management and knowledge systems.
Discover tools llm ai skills, compare source repositories and read the instructions for each workflow.
knowledge-base-builder for learning content management and knowledge systems.
Guide creation of Claude Code Subagents with task scope definition, tool selection, system prompt design, and delegation patterns. Ensures proper subagent configuration with appropriate tool access and context...
ai-integration for learning technology evaluation and implementation.
Analyzes learner behavior, progress, and outcomes to generate actionable insights.
Guide creation of Claude Code Commands with step-by-step workflows, argument handling, frontmatter configuration, and testing. Ensures Commands follow best practices and correct YAML structure. Use when creatin...
Generate Claude Code configuration files (commands, agents, skills, settings.json) with proper YAML frontmatter and structure. Use when creating .claude/ configuration or .md files in .claude/commands/ or .clau...
Use when user asks about version controlling ~/.claude directory or syncing Claude Code settings across machines. Provides git setup instructions and .gitignore patterns to track only portable settings while ex...
Complete CLI command reference for Claude Code including flags, options, and usage patterns. Use when user asks about command-line options, flags, CLI usage, or command syntax.
Create Architecture Decision Records (ADRs) documenting key architectural choices. Analyzes context, evaluates alternatives, and captures decisions using standard ADR template. Use when documenting database des...
Structured reasoning for complex problems using Sequential Thinking MCP. Break down problems into stages, track thought progression, identify connections, and generate insights. Use for architectural decisions,...
Use this skill when you need to invoke another Claude Code session via the cli-agent-runner.sh script to perform specialized, potentially long-running tasks in a simplified way. This wrapper handles session man...
Generate scripts for educational videos, presentations, interactive activities, and multimedia content supporting learning objectives. Use when creating video scripts, presentation outlines, or interactive elem...
한글 기반 클로드 스킬 자동 생성 도구. 사용자가 "클로드 스킬을 만들어줘" 또는 "[요구사항] 스킬 만들어줘"라고 요청할 때 사용. Progressive disclosure 원칙을 따르는 한글 문서 구조(SKILL.md + references/)를 자동으로...
Expert knowledge on creating Claude Code subagents. Use when designing or creating subagent .md files, understanding subagent structure, tool restrictions, or model selection.
Create personalized, adaptive learning pathways with branching logic, prerequisite tracking, competency-based progression, and mastery-based advancement. Use when designing adaptive curricula or personalized le...
Automates creation of interactive language learning games including vocabulary flashcards, song-based games, and multi-level learning systems. Generates complete projects with HTML/JS code, data generation pipe...
game-designer for engaging, immersive learning experiences.
Create detailed lesson plans, instructional materials, learning activities, and differentiation strategies aligned to learning objectives. Use when developing instructional content, writing lesson plans, or cre...
experience-designer for engaging, immersive learning experiences.
Create interactive learning games for business English practice. Supports multiple game types (quiz, simulation, drag-drop) across various business scenarios (emails, meetings, presentations, negotiations). Gen...
simulation-designer for engaging, immersive learning experiences.
Create user-centric product definitions by analyzing the repository, inferring product goals and user needs, clarifying ambiguities through structured questioning, and generating comprehensive product.md docume...
Expert in Apache Ray distributed computing. Use when converting Python code to Ray workloads, debugging Ray applications, optimizing Ray performance, or working with Ray Core, Ray Data, Ray Train, Ray Serve, or...
Optimize RAG performance with reranking, caching, parallel processing, and production deployment patterns. Use when improving retrieval quality, adding rerankers, deploying to production, implementing caching s...
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.