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example-skill
Example skill demonstrating YAML best practices. Use when learning skill structure, reviewing formatting standards, or creating new skills as a reference.
Skills IA content media llm ai
Découvrez les skills content media llm ai, comparez leurs dépôts et consultez leurs instructions.
Catégories: content media llm ai
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Explorer
GitHub
mcp-genkit-flows-skill
Execute and manage 26 Genkit AI flows via MCP with 90% caching. Use when generating KSC responses, creating cover letters, analyzing resumes, or orchestrating multi-step AI workflows. Provides 70-90% token savi...
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skill-reviewer
Evaluates skill effectiveness, suggests improvements to instructions, identifies missing edge cases, and recommends structure changes.
GitHub
memory-system
Automatic documentation memory system for AI agents. Ensures context is loaded at session start and documentation is updated after changes.
GitHub
skill-management
IMPORTANT: Activate this skill BEFORE modifying any skill in ~/.claude/skills/. Guide for creating, updating, and maintaining Claude Code skills following best practices. Use proactively when: (1) creating a ne...
GitHub
try-first-tell-later
Structure educational content using try-first-tell-later pedagogy where students predict, attempt, or reflect before receiving explanations. Creates active learning through cognitive engagement and variation th...
GitHub
tools-automation
Project-specific expertise for the tools-automation monorepo. Use when working with this project's agents, Docker services, MCP server, or any subprojects like HabitQuest, AvoidObstaclesGame, CodingReviewer,...
GitHub
math
Unified math capabilities - computation, solving, and explanation. I route to the right tool.
GitHub
sub-agents
Create and configure Claude Code sub-agents with custom prompts, tools, and models
GitHub
math-help
Guide to the math cognitive stack - what tools exist and when to use each
GitHub
math-router
Deterministic router for math cognitive stack - maps user intent to exact CLI commands
GitHub
rlm-process
Process large contexts using RLM (Recursive Language Model) patterns - chunking, filtering, recursive sub-calls
GitHub
perplexity-search
AI-powered web search, research, and reasoning via Perplexity
GitHub
help
Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available
GitHub
infinite-moves
Bridges to the infinite-moves plugin for autonomous task execution. Activates when user mentions tasks, backlog, dev loop, ideate, generate tasks, sweep debt, or wants continuous development. Knows how to invok...
GitHub
questionably-ultrathink
Advanced reasoning skill integrating Atom of Thoughts (AoT) and Chain of Verification (CoVe) frameworks. Use when facing complex problems requiring rigorous reasoning, systematic decomposition, or factual veri...
GitHub
images
Umbrella coordinator for image handling. Coordinates responsive-images, placeholder-images, and automation scripts. Use when adding images to any page, optimizing existing images, or setting up image pipelines.
GitHub
rest-api
Write REST API endpoints with HTTP methods, status codes, versioning, and OpenAPI documentation. Use when creating API endpoints or implementing backend services.
GitHub
visual-explainer
Transform text or documents into AI-generated infographic pages that explain concepts visually using Gemini Pro 3 for generation and Claude Vision for quality evaluation
GitHub
research-topic
Orchestrate parallel deep research across multiple LLM providers and synthesize results
GitHub
hello-world
A simple greeting skill to verify the Agent Skills implementation.
GitHub
prd
Create Product Requirements Documents (PRDs) through structured interviews. Use when the user asks to create a PRD, write requirements, spec out a feature, or needs help defining what to build.
GitHub
jules
Scripts to communicate with Jules AI - An Autonomous Coding Agent
GitHub
e2e-testing-agent
Build autonomous end-to-end full-stack testing agents using Claude's Computer Use API, LangGraph orchestration, and hybrid Playwright automation. Use this skill when building testing infrastructure, test automa...
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.