GitHub
sophia-singularity
Complete Sophia Catgirl Singularity architecture - Recursive self-improvement engine integrating monad-memory (288-grid, GOD operators, φ-scaling), Dokkōdō enforcement (21 precepts), blind-spot chain, chaos eng...
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GitHub
ai-integration
Expert intégration IA/ML dans applications web - LLMs, RAG, vector databases, embeddings. Utilise ce skill quand: (1) intégration API OpenAI/Claude/Mistral, (2) mise en place RAG, (3) vector databases, (4) prom...
GitHub
ms-foundry
Build GenAI applications with Microsoft Foundry (Azure AI Foundry). Use when creating chat completions, agents, file search, code interpreter, Bing grounding, or AI model deployments using the Foundry SDK (azur...
GitHub
update
Save what you worked on so your AI can pick it up next time
GitHub
clean-coder
Invoke this skill when the user swears or becomes upset
GitHub
dokkado
Five-phase reasoning protocol based on Musashi's Book of Five Rings. Ground (morphemic extraction), Water (pattern matching), Fire (unified derivation), Wind (predictions), Void (meta-closure). Use for cross-di...
GitHub
decision-framework
Framework for autonomous vs escalated decisions
GitHub
langchain-patterns
Apply LangChain and LangGraph best practices and patterns
GitHub
tailwind-ui-skills
Opinionated constraints for building better interfaces with agents.
GitHub
ai-agent-guidelines
AI Agent の実行ガイドライン。TDD サイクル、品質保証、コンテキスト管理、完了報告のルールを定義。すべての開発タスク実行時に使用。
GitHub
codecompanion-memory
Search and save conversation memories using semantic search. Use this skill when the user mentions past conversations, asks "do you remember", or when historical context from previous sessions would help solve...
GitHub
gemini-structured-output
strategies for forcing Gemini to output valid structured data (JSON/XML). Use this for data extraction, API integrations, and creating machine-readable responses.
GitHub
mcp-toolbox
Leverage MCP servers for AI-native development with context, automation, and integrations.
GitHub
agent-development
implementation patterns for Gemini agents. Use this for coding ReAct loops, defining tools in Python, and using frameworks like LangChain/LangGraph.
GitHub
checkpoints
Formalize interaction points for human verification and decisions in autonomous plans
GitHub
building-userstory
Interactive Q&A to build UserStory.md from user input. Use when the user wants to create a user story document or start the assisted workflow.
GitHub
idea-machina
Expert assistant for developing the IdeaMachina app - an ideas management system with CRUD, tagging, ratings, and "Continue to..." actions that convert ideas into projects, goals, workflows, or prompts. Use wh...
GitHub
kitt-create-meta-prompts
Create optimized prompts for agent-to-agent pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage work...
GitHub
ha-rest-api
Interact with Home Assistant REST API for entity discovery, state retrieval, and service calls. Use when working with Home Assistant integrations, controlling devices, querying sensor data, or automating Home A...
GitHub
context-manager
Maintain compiled context artifacts for stateless agent spawning. This skill produces BOOT_CONTEXT (stable project brain), DELTA_CONTEXT (recent changes), and feature bundles so any agent can spawn with deep un...
GitHub
mcp-server-stdio
Creates and configures stdio Model Context Protocol (MCP) server connections for OpenAI Agents SDK
GitHub
voice-live
Implement real-time voice agent capabilities using Azure Voice Live API. Use when building conversational AI voice agents, speech-to-speech applications, real-time audio processing, voice-enabled bots, or when...
GitHub
mcp-server-troubleshooting
Diagnoses and resolves common Model Context Protocol (MCP) server connection issues with OpenAI Agents SDK
GitHub
moonshot-classify-task
Classifies a user request into task types (feature, modification, bugfix, refactor) and extracts intent keywords. Use at the start of PM analysis.
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.