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Found 2,396 Skills
Use when installing, configuring, or troubleshooting the official Neo4j MCP server (neo4j/mcp): connecting Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, Kiro, or other MCP-compatible editors to a Neo4j database via stdio or HTTP transport. Covers the four MCP tools (get-schema, read-cypher, write-cypher, list-gds-procedures), read-only mode, and multi-database configuration. Does NOT cover writing Cypher queries via those tools — use neo4j-cypher-skill. Does NOT cover agent memory — use neo4j-agent-memory-skill. Does NOT cover Aura instance provisioning — use neo4j-aura-provisioning-skill.
AI-assisted TradingView chart analysis and automation via Chrome DevTools Protocol for Claude Code
Use PAL MCP to orchestrate multiple AI models (Gemini, OpenAI, Grok, Ollama) for code reviews, debugging, planning, and CLI bridging
Query unified Sigma, Splunk, Elastic, KQL, Sublime, and CrowdStrike security detection rules via MCP server with MITRE ATT&CK mapping and coverage analysis
Turn MCP, OpenAPI, or GraphQL servers into CLIs at runtime with zero codegen, saving 96-99% of tokens on tool schemas
A collection of deliberately vulnerable MCP servers for learning pentesting and AI red teaming techniques
Set up the Deepgram MCP server for your AI coding tool. Checks whether the Deepgram CLI (dg/deepctl) is installed: if so, uses the local CLI MCP server (dg mcp) for full tool access; otherwise offers the hosted documentation MCP or suggests installing the CLI. Use whenever someone wants to install Deepgram's agentic tools, set up the MCP server, or connect their editor to Deepgram.
Browser automation for Kubernetes dashboards and web UIs. Use when interacting with Kubernetes Dashboard, Grafana, ArgoCD UI, or other web interfaces. Requires MCP_BROWSER_ENABLED=true.
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
Setting up Model Context Protocol (MCP) integration between Blockbench and Claude AI for AI-assisted 3D modeling. Use when configuring BlockbenchMCP, connecting Claude to Blockbench, troubleshooting MCP connection issues, or enabling AI-powered model creation and manipulation.
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.
Guides setup and usage of the Zhin MCP (Model Context Protocol) server plugin. Covers configuration, available tools, resources, and prompts for AI assistant integration. Use when integrating Zhin with AI coding assistants like Claude or Cursor via MCP.