Découvrez les skills devops llm ai, comparez leurs dépôts et consultez leurs instructions.
Discover relevant skills and knowledge using tiered approach. SKIP for simple tasks, QUICK for single-skill, STANDARD for multi-skill, DEEP for full feature implementation. Auto-selects tier based on task compl...
Creates, improves, and validates Claude Code artifacts (skills, agents, commands, hooks). Use when creating domain expertise skills, specialized task agents, user-invoked commands, extending Claude Code capabil...
Automatically creates comprehensive pull requests to the dev branch when user indicates their feature/fix is complete and ready for review. Use when user mentions creating PR, submitting for review, or indicate...
Meta-skill for creating workflow-optimized skills from MCP servers. Use when users want to create a custom skill that integrates one or more MCP servers into a specialized workflow. The user provides MCP server...
Customize existing skills through iterative improvement based on user feedback and preferences. Use when users want to personalize a skill to match their specific workflow, output preferences, domain requiremen...
Perform data analysis tasks including data cleaning, statistical analysis, visualization, and insight generation. Use when the user asks to analyze data, perform statistical analysis, create visualizations, or...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or too...
Perform security audits on Agent Skills from a given path. Use when the user asks to audit, review, check security, or verify a skill for security issues.
Shape, refine, and stabilize human intent into a canonical prompt artifact. Iteratively clarifies ambiguity until user confirms readiness.
Execute the forged prompt exactly as written. Requires explicit consent and a ready artifact. Deletes artifact after successful execution.
Orchestrate multi-agent workflows using SwarmKit Python SDK. Use when tasks benefit from: (1) Parallel processing - analyzing many documents/items simultaneously, (2) Quality competition - running multiple agen...
SwarmKit SDK development for TypeScript and Python. Use when building applications with SwarmKit to run AI agents (Claude, Codex, Gemini, Qwen) in secure sandboxes. Triggers: (1) Creating SwarmKit applications,...
Integrate LLM providers (Claude, GPT, etc.) with emotive-mascot for sentiment-driven emotional responses. Use when connecting to AI services, implementing chat interfaces, or creating emotion-aware conversation...
Generate complete use case implementations for specific industries and scenarios. Use when creating new demo pages, implementing industry-specific mascot integrations, or exploring new application areas.
Build choreographed multi-step emotion sequences (semantic performances) for complex interactions. Use when designing welcome sequences, error recovery flows, or celebration animations.
API integration patterns for autonomous-dev including subprocess safety, GitHub CLI integration, retry logic, authentication, rate limiting, and timeout handling. Use when integrating external APIs or CLI tools...
REST API design best practices, versioning strategies, error handling, pagination, and OpenAPI documentation. Use when designing or implementing REST APIs, HTTP endpoints, or API documentation.
Standardized templates and patterns for integrating skills into agent prompts. Reduces token overhead through reusable skill reference syntax, action verbs, and progressive disclosure usage guidelines.
Standardized output formats for research, planning, implementation, and review agents. Use when generating agent outputs or parsing agent responses.
GAIK (Generative AI Knowledge Management Toolkit) development guidance. Use when working with: structured data extraction from documents/PDFs/audio, schema generation, document parsing (VisionParser, PyMuPDFPar...
Search the Claude Code knowledge base for errors, solutions, decisions, and patterns. Use this to find information from your memory system.
Explicitly save knowledge, patterns, decisions, or learnings to the knowledge base. Use when you want to document something for future reference.
Write specifications at the right depth for any project. Progressive disclosure from quick Linear issues to full AI feature specs. Embeds Linear Method philosophy (brevity, clarity, momentum) with context engin...
Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework...
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.