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Found 2,035 Skills
Extract and analyze business descriptions and competitive landscape from SEC filings using Octagon MCP. Use when researching company business models, market positioning, competitive advantages, industry dynamics, and strategic focus areas from Item 1 disclosures.
Expert knowledge of GitHub Copilot CLI - installation, configuration, usage, custom agents, MCP servers, and version management. Use when asking about copilot cli, copilot commands, installing copilot, updating copilot, copilot features.
Enables Claude to browse, organize, and manage photos and videos in Google Photos via Playwright MCP
Expert in Confluence operations using Atlassian MCP - automatically detects workspace Confluence configuration or prompts for site details. Use for searching, creating, updating pages, managing spaces, and adding comments with proper Markdown formatting.
[PREREQUISITE] Install and configure Godot MCP server for programmatic scene manipulation via Model Context Protocol. Use when user explicitly requests MCP-based scene building or automation. NOT for manual Godot workflows. Keywords MCP, Model Context Protocol, scene automation, npx, claude_desktop_config.
This skill should be used when user asks to "query Azure resources", "list storage accounts", "manage Key Vault secrets", "work with Cosmos DB", "check AKS clusters", "use Azure MCP", or interact with any Azure service.
CLI tool for interacting with MCP (Model Context Protocol) servers. Use when invoking MCP tools, managing MCP servers, or working with MCP-based APIs. Triggers on "MCP server", "mcpli", "invoke MCP tool", or any MCP server interaction.
Expert MCP (Model Context Protocol) orchestration with n8n workflow automation. Master bidirectional MCP integration, expose n8n workflows as AI agent tools, consume MCP servers in workflows, build agentic systems, orchestrate multi-agent workflows, and create production-ready AI-powered automation pipelines with Claude Code integration.
Use when building persistent codebase intelligence for AI agents or integrating knowledge systems via MCP
Understand ContextVM core concepts, architecture decisions, and frequently asked questions. Use when users need clarification on what ContextVM is, why it uses Nostr, decentralization benefits, public vs private servers, network topology, or comparisons with traditional MCP.
Multi-agent orchestration workflow for deep research: Split a research objective into parallel sub-objectives, run sub-processes using Claude Code non-interactive mode (`claude -p`); prioritize installed skills for network access and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + summary of key conclusions/recommendations". Applicable scenarios: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-agent parallel research/multi-process research".
Automate Browserless tasks via Rube MCP (Composio). Always search tools first for current schemas.