Discover tools llm ai skills, compare source repositories and read the instructions for each workflow.
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottlene...
Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performan...
Copilot agent that assists with architecture design, C4 model diagrams, ADR creation, and tradeoff analysis Trigger terms: architecture, system design, C4 model, ADR, architecture decision, design patterns, co...
Copilot agent that assists with user interface and experience design, wireframes, prototypes, design systems, and usability testing Trigger terms: UI design, UX design, wireframe, mockup, prototype, user inter...
Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOps Trigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature enginee...
Integrated orchestrator agent that manages and coordinates 25 specialized AI agents for Specification Driven Development Trigger terms: orchestrate, coordinate, multi-agent, workflow, execution plan, task brea...
Create photo galleries with AI-assisted layout curation. Orchestrates atomic scripts and sub-agents. Use when user wants to create a gallery from photos, mentions "/gallery", or asks about photo layout and sequ...
Generate execution plans from user queries through intake, research, specification, and validation. Integrated with DecisionLearningIntegration for deterministic, self-learning planning. Use when user provides...
Auto-detects next pending Smart Orchestrator component, spawns 2-3 research agents, generates evidence-backed specs, validates, and offers optional implementation with automatic progress tracking.
Generate execution plans from user queries through intake, research, specification, and validation. Use when user provides any query (vague to specific) and needs an executable plan for /execute skill.
Systematic framework for selecting the optimal specialized agent for any task. Use when delegating to subagents via the Task tool to ensure the most appropriate specialist is chosen based on framework, domain,...
Expert prompt engineering for LLMs and AI agents. Use when users request help writing, reviewing, or improving prompts for chatbots, AI agents, system prompts, instruction sets, or any LLM-based application. Ap...
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. Use when the agent needs to work with professional documents (.do...
Generate skills from MCP (Model Context Protocol) server tools. Use when the user wants to create a skill based on MCP tools, wrap MCP server functionality into a skill, or generate SKILL.md from MCP tool defin...
Open questions register. Use for: QID generation, OQ-SIG-001 format IDs, append questions, open_questions.md. Generate sequential QIDs, append questions with context. Use in clarifier when registering open ques...
Guide the creation, review, and maintenance of VS Code Copilot Chat workspace custom agents (.agent.md) under `.github/agents/`, including intent discovery, guardrail writing, tool selection, and optional hando...
Use this skill whenever the user mentions a skill or is creating/updating/reviewing SKILL.md or any file under skills (any language); ALWAYS read this SKILL.md first and treat it as the authoritative instructio...
Universal execution engine using scientific method to achieve ideal state. USE WHEN complex tasks, multi-step work, "run the algorithm", "use the algorithm", OR any non-trivial request that benefits from struct...
Dynamic agent composition and management system. USE WHEN user says create custom agents, spin up custom agents, specialized agents, OR asks for agent personalities, available traits, agent voices. Handles cust...
Use when delegating coding tasks to Gemini CLI agent, when you need parallel AI execution, or when tasks benefit from Gemini's 1M+ context window.
Use when you need validation, analysis, or research from multiple AI agents before implementing. Gathers perspectives from Gemini and Codex, synthesizes feedback.
Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.
Use when something goes wrong during agentic coding - hallucination, bug, ignored instruction, anti-pattern, context loss, or Claude getting stuck in a loop.
Use when asked about library/framework APIs, version-specific features, or when user mentions outdated docs. Requires Context7 MCP server.
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.