hybrid-agents
Hybrid Agentic Workflows - Build production-ready multi-agent systems with Microsoft Agent Framework (client-side) and Azure AI Foundry Agent Service (cloud-managed). Supports MCP integration and multi-agent or...
Discover data ai productivity tools skills, compare source repositories and read the instructions for each workflow.
Hybrid Agentic Workflows - Build production-ready multi-agent systems with Microsoft Agent Framework (client-side) and Azure AI Foundry Agent Service (cloud-managed). Supports MCP integration and multi-agent or...
Track, evaluate, and analyze multi-agent AI workflows using Azure AI Foundry cloud evaluations. Use when logging agent trajectories, computing evaluation metrics, measuring plan adherence, or generating workflo...
Build enterprise RAG solutions using Foundry IQ with Azure AI Search agentic retrieval. Use when implementing policy assistants, knowledge bases with citations, or multi-hop question answering systems.
Build MCP (Model Context Protocol) servers to extend Claude's capabilities with database access, API integrations, or custom tools.
Generate PDF and Word documents programmatically. Use for invoices, reports, contracts, or data exports.
Create tickets for Ralph to work on later. Interactive ticket planning and creation.
Create clean, single-file HTML pages for displaying information. Use for quick reference pages, comparisons, lists, or any data you want to view in a browser.
Import soul data from SQLite or shared chitta files
GitHub REST APIのSub-issue関連バグを回避するためのGraphQL API共通処理(Sub-issue登録、エラーハンドリング)を提供
GitHub REST APIのSub-issue関連バグを回避するためのGraphQL API共通処理(Sub-issue登録、エラーハンドリング)を提供
This skill should be used when the user asks to "добавить MCP сервер", "интегрировать MCP", "настроить MCP в плагине", "использовать .mcp.json", "настроить Model Context Protocol", "подключить внешний сервис",...
This skill should be used when the user asks to "создать микросервис", "добавить домен", "имплементировать фичу", "использовать Uber FX", "создать репозиторий", "добавить gRPC endpoint", "добавить HTTP endpoint...
This skill should be used when the user asks to "создать хук", "добавить PreToolUse/PostToolUse/Stop хук", "валидировать использование инструментов", "реализовать prompt-based хуки", "использовать ${CLAUDE_PLUG...
This skill should be used when the user asks to "создать слэш-команду", "добавить команду", "написать пользовательскую команду", "определить аргументы команды", "использовать frontmatter команды", "организовать...
Designs atomic specs from ambiguous requests when you need a modular plan; use it to define scope, architecture, and inputs. Output is a docs/specs/-SPEC.md with user story, flow diagram, file manifest, env int...
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 Claude's capabilities with specialized knowledge, workflows, or to...
Work with Aenea consciousness system - start/stop consciousness, monitor thought cycles, manage energy levels, trigger sleep mode, or debug consciousness state
Manages Gemini CLI for large codebase analysis and pattern detection. Use proactively when Claude needs to analyze extensive code patterns, architectural overviews, or search through large codebases efficiently...
TDD development workflow for woo-attribution-bridge. This skill should be used when implementing GitHub issues. It guides through: fetching the issue, creating a feature branch, writing an implementation plan,...
Design components for Empathy Ledger - storyteller cards, story cards, and culturally sensitive UI patterns.
GitHub commits, Vercel deployments, PWA configuration, and rollback procedures.
AI-powered data analysis for Empathy Ledger - themes, quotes, story suggestions, transcript analysis.
Navigate Supabase database tables, relationships, and query patterns. Schema reference for Empathy Ledger.
Delegate complex, multi-step codebase exploration to local Ollama models. Best for analysis, review, and understanding tasks that require reasoning across multiple files.
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.