Discover content media llm ai skills, compare source repositories and read the instructions for each workflow.
INVOKE for calculations and data processing. Produces executable code instead of mental math. Use when precision matters or numbers are complex. Triggers: calculations, numerical analysis, data transformations,...
INVOKE for verification and high-stakes decisions. Produces multiple independent reasoning paths with consensus check. Use before finalizing critical work. Triggers: verification, double-checking, validating ap...
INVOKE for research tasks and multi-source understanding. Produces visible dependency graphs and contracted answers. Use during research phase of workflow. Triggers: researching topics, gathering information be...
INVOKE when multiple approaches exist and exploration is valuable. Produces visible branching with evaluation and recommendation. Use before implementation when comparing options. Triggers: comparing approaches...
Message formatting conventions and channel routing for agent-chat coordination
Complete project generation pipeline with Task tool multi-agent orchestration. Requirements -> Design -> Tasks -> Project -> Implementation.
AIDA - Multi-agent project generation with auto-init and full pipeline execution. Generate a complete project using multi-agent orchestration with TDD and quality gates. Enforces strict quality requirements via...
Generate structured requirements from natural language. No API key required - uses Claude Code OAuth.
AIDA pipeline orchestration with Task tool multi-agent delegation. Manages 5-phase workflow with Leader/Player subagents.
Show AI design patterns project health, track completion status, coordinate agent activities, and suggest intelligent next priority actions
Guide through updating AI design patterns with comprehensive checklist completion, code examples, images, documentation, and interactive demos
Generate project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a repository needs clear agent onboarding covering structure, tooling, testing, task flow, REA...
Generate complete, production-ready MCP (Model Context Protocol) servers with automatic setup, configuration, and Claude Code integration
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications.
Create useful, informative summaries of technologies or concepts that are readable in depth and have a digestable summary at the top.
Build custom slash commands in Claude Code with YAML frontmatter, permissions, and best practices. Use when creating automation workflows, project-specific commands, or standardizing repetitive tasks.
Build event-driven hooks in Claude Code for validation, setup, and automation. Use when you need to validate inputs, check environment state, or automate tasks at specific lifecycle events.
Review AI prompts and instructions for conciseness and clarity. Use when reviewing skills, CLAUDE.md, slash commands, or any LLM prompt content.
A meta-skill for documenting and creating reusable skills for Claude Code agents. Use when you discover a technique, pattern, or workflow worth documenting for reuse across projects.
Create native Claude Code hooks in ~/.claude/hooks/. Use when adding event-triggered automation (PreToolUse, PostToolUse, Stop, etc.).
Create custom Task subagents in ~/.claude/agents/. Use when defining new agents for Task tool delegation.
Create slash commands for user-initiated workflows. Use when building repeatable /name commands for Claude Code.
Route tasks to optimal LLM provider (Gemini, Codex, Copilot, Claude)
Create skills that extend Claude with specialized knowledge and workflows. Use when Claude needs to learn a methodology or approach.
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.