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Found 66 Skills
Guide users through creating high-quality GitHub Copilot prompts with proper structure, tools, and best practices.
Build MCP (Model Context Protocol) servers including tool definition, schema design, authentication, error handling, and Claude Code integration. Use this skill when the user needs to create an MCP server, expose APIs or databases to AI agents, design tool schemas, or integrate with Claude Code — even if they say 'build an MCP server', 'connect Claude to our database', 'expose our API to AI', or 'create a tool for Claude Code'.
Microsoft Work IQ MCP integration for querying M365 data (emails, meetings, Teams, documents) with natural language. Enables searching your Microsoft 365 workspace directly from Claude Code.
Multi-agent feature implementation. Spawns independent solver agents that each implement the feature from scratch, then synthesizes the best elements from each. Use when building complex features where you want diverse approaches and comprehensive edge case coverage.
Install and configure Model Context Protocol (MCP) servers for Claude Code projects. Use when you want to add or enable an MCP server, connect a tool or integration (database, API, file system), update MCP settings in .mcp.json, manage OAuth-authenticated remote MCP servers, enable/disable individual servers at runtime, or troubleshoot MCP server connection issues.
Meta-skill for understanding and customizing Mindfold Trellis - the AI workflow system for Claude Code and Cursor. This skill documents the ORIGINAL Trellis system design. When users customize their Trellis installation, modifications should be recorded in a project-local `trellis-local` skill, NOT in this meta-skill. Use this skill when: (1) understanding Trellis architecture, (2) customizing Trellis workflows, (3) adding commands/agents/hooks, (4) troubleshooting issues, or (5) adapting Trellis to specific projects.
Turns ideas into live, full-stack web applications with editable code, built-in database, user authentication, and hosting. Anima is the design agent in the AI swarm, giving agents design awareness and brand consistency when building interfaces. Three input paths: describe what you want (prompt to code), clone any website (link to code), or implement a Figma design (Figma to code). Also generates design-aware code from Figma directly into existing codebases. Triggers when the user provides Figma URLs, website URLs, Anima Playground URLs, asks to design, create, build, or prototype something, or wants to publish or deploy.
Convert and browse session transcripts as HTML or Markdown. Supports Claude Code JSONL logs (auto-saved to ~/.claude/projects/) and GitHub Copilot CLI JSONL logs (auto-saved to ~/.copilot/session-state/*/events.jsonl). Auto-detects log source based on available directories and file format. Supports viewing the current session, a specific session by ID, agent background task output files, or all project sessions with optional date-range filtering.
Coordinate multi-agent swarms for parallel and pipeline workflows. Use when coordinating multiple agents, running parallel reviews, building pipeline workflows, or implementing divide-and-conquer patterns with subagents.
4 production-ready business and growth skills: customer success manager with health scoring and churn prediction, sales engineer with RFP analysis, revenue operations with pipeline and GTM metrics, and contract & proposal writer. Python tools included (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
A collection of specialized AI agent personalities for Claude Code, Cursor, Aider, Windsurf, and other AI coding tools — covering engineering, design, marketing, sales, and more.
Comprehensive markdown linting guidance using markdownlint-cli2. Run, execute, check, and validate markdown files. Fix linting errors (MD0XX rules). Configure .markdownlint-cli2.jsonc (rules and ignores). Set up VS Code extension and GitHub Actions workflows. Supports markdown flavors including GitHub Flavored Markdown (GFM) and CommonMark. Use when working with markdown files, encountering validation errors, configuring markdownlint, setting up linting workflows, troubleshooting linting issues, establishing markdown quality standards, or configuring flavor-specific rules for tables, task lists, and strikethrough.