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Found 59 Skills
Identifies and manages execution dependencies between agent skills by analyzing their inputs and outputs. Use when building multi-step agent workflows to ensure skills are executed in the correct order and that all required data is available.
Guide for using MassGen to develop and improve itself. This skill should be used when agents need to run MassGen experiments programmatically (using automation mode) OR analyze terminal UI/UX quality (using visual evaluation tools). These are mutually exclusive workflows for different improvement goals.
Use git worktrees for parallel Claude Code workflows. Run multiple Claude instances on different features simultaneously without merge conflicts. Use for parallel development, multi-branch testing, and subagent workflows.
Claude Code config optimization skill. Use when: - Editing CLAUDE.md, rules/, skills/, agents/, commands/ - User asks about config best practices - Checking optimization status - User says "claude code changelog" or "claude code updates" - User asks about new features or breaking changes in Claude Code
Web research, content extraction, and deep analysis. Multi-source parallel search with extended thinking. Supports Fabric pattern selection (242+ prompts). USE WHEN: "research X", "extract wisdom from", "analyze this content", "find info about".
Use when working with code refactoring context restore
Agent testing methodology - run agents with test inputs, observe outputs, iterate until outputs are accurate and well-structured.
Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.
Browse and search the Hence gallery (hence.sh) to discover projects built with AI coding agents. Use when the user wants inspiration, wants to see what others have built, asks about projects on Hence, or mentions searching for AI-built projects. Triggers on queries like "show me cool projects", "search Hence", "find CLI tools on Hence", or "what are people building with Claude Code".
Integrate Azure AI Services, Azure OpenAI, and Cognitive Services.
Design and enforce AI-friendly verification for a GRACE project. Use when modules need stronger automated tests, traceable logs, execution-trace checks, or verification that is robust enough for autonomous and multi-agent workflows.