Discover research llm ai skills, compare source repositories and read the instructions for each workflow.
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...
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...
Save what you worked on so your AI can pick it up next time
Invoke this skill when the user swears or becomes upset
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...
Framework for autonomous vs escalated decisions
Apply LangChain and LangGraph best practices and patterns
Opinionated constraints for building better interfaces with agents.
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。
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...
strategies for forcing Gemini to output valid structured data (JSON/XML). Use this for data extraction, API integrations, and creating machine-readable responses.
Leverage MCP servers for AI-native development with context, automation, and integrations.
implementation patterns for Gemini agents. Use this for coding ReAct loops, defining tools in Python, and using frameworks like LangChain/LangGraph.
Formalize interaction points for human verification and decisions in autonomous plans
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.
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...
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...
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...
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...
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...
Classifies a user request into task types (feature, modification, bugfix, refactor) and extracts intent keywords. Use at the start of PM analysis.
strategies for the agent memory lifecycle (Extraction, Consolidation, Retrieval). Use this to implement long-term learning and personalization beyond a single session.
How to use the OpenAI-compatible API server
Agent invocation syntax and boundary rules
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