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Found 5,606 Skills
Configure New Relic observability platform for infrastructure and application monitoring. Set up APM agents, create dashboards, configure alerts, and implement distributed tracing. Use when implementing full-stack observability with New Relic One.
Automatically generate comprehensive backend API documentation in AGENTS.md format. Use when the user requests to: (1) Document backend API endpoints, (2) Update backend API specifications after code changes, (3) Create or refresh backend/AGENTS.md with complete API documentation including request/response schemas, business rules, and authentication details, (4) Generate API documentation from FastAPI route files
Git worktree management for parallel SPEC development with isolated workspaces, automatic branch registration, and seamless MoAI-ADK integration. Use when setting up parallel development environments, creating isolated SPEC workspaces, managing git worktrees, or working on multiple features simultaneously. Do NOT use for regular git operations like commit or merge (use manager-git agent instead).
TWD test writing context — teaches AI agents how to write correct TWD (Test While Developing) in-browser tests. Use this when writing, reviewing, or modifying TWD test files (*.twd.test.ts).
Discover available tools and resources in Databricks workspace. Use when: (1) User asks 'what tools are available', (2) Before writing agent code, (3) Looking for MCP servers, Genie spaces, UC functions, or vector search indexes, (4) User says 'discover', 'find resources', or 'what can I connect to'.
Generate AI-friendly Python CLIs using Click, Pydantic, and uv. Use when user wants to create a new CLI tool that follows best practices for agentic coding environments.
Frontend development agent for Resume Matcher. Handles Next.js pages, React components, Tailwind CSS with Swiss International Style, API integration, hooks, and i18n. Use when creating or modifying frontend code.
Optimize LLM prompts, tools, and agents in Opik using standardized optimizer workflows (prompt optimization, tool optimization, and parameter tuning), dataset/metric wiring, and result interpretation.
Drive development using delegated agent workflows. Coordinates multi-agent task execution with proper supervision and result integration.
Use this agent when you need to verify that a UI implementation matches its Figma design specifications. This agent should be called after code has been written to implement a design, particularly after HTML/CSS/React components have been created or modified. The agent will visually compare the live implementation against the Figma design and provide detailed feedback on discrepancies.\n\nExamples:\n- <example>\n Context: The user has just implemented a new component based on a Figma design.\n user: "I've finished implementing the hero section based on the Figma design"\n assistant: "I'll review how well your implementation matches the Figma design."\n <commentary>\n Since UI implementation has been completed, use the design-implementation-reviewer agent to compare the live version with Figma.\n </commentary>\n </example>\n- <example>\n Context: After the general code agent has implemented design changes.\n user: "Update the button styles to match the new design system"\n assistant: "I've updated the butto...
[v3] Resolve all PR comments using parallel agents with full workflow and verification gate
AI-first security scanning with Medusa. 3,000+ detection patterns covering AI/ML, agents, MCP, RAG, prompt injection, and traditional SAST vulnerabilities. Wraps Medusa CLI with SARIF/JSON parsing, structured finding output, OWASP mapping, and remediation guidance.