chrome-devtools-mcp
Chrome DevTools MCP server for AI-driven browser automation, testing, and debugging via Puppeteer. Features input automation, visual snapshots, performance tracing, and network inspection.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
126 skills found
Chrome DevTools MCP server for AI-driven browser automation, testing, and debugging via Puppeteer. Features input automation, visual snapshots, performance tracing, and network inspection.
Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.
Search the web using Tavily's LLM-optimized search API for relevant, source-cited content without writing code.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Overcome coding blocks and development stagnation using lateral thinking personas and structured reframing techniques.
Scaffold and build interactive MCP Apps with custom UIs for hosts like Claude Desktop. Supports React, Vanilla JS, and various framework templates for tool-resource integration.
Expert guidance for Neo4j Cypher queries and MCP server tools, focusing on schema introspection, graph operations, and efficient database development workflows.
Lightweight MCP (Model Context Protocol) connection handler supporting stdio, SSE, and streamable HTTP transports for seamless server integration.
Activates Prometheus planning mode for structured requirement gathering, codebase research, and task planning within Claude Code.
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.
Secure, isolated cloud sandbox environments for executing AI-generated code, running multi-language scripts, managing file systems, and integrating tools via the E2B MCP gateway.
Standardizes project context by managing artifacts (product, tech-stack, workflow, tracks) in a conductor/ directory. Supports project scaffolding, artifact synchronization, and AI alignment for greenfield and brownfield projects.