Claude Code AI Agent Skills

Stop copy-pasting between AI models. Roundtable AI is a local MCP server that lets your primary AI assistant delegate tasks to specialized models like Gemini, Claude, Codex, and Cursor. Solve complex engineering problems in parallel, directly from your IDE. Key Features: - Context Continuity: Shared project context across all sub-agents - Parallel Execution: All agents work simultaneously - Model

Price bonds, analyze yield curves, evaluate FX carry trades, value options, and build macro dashboards using LSEG financial data and analytics. This plugin packages LSEG's financial analytics MCP tools into 8 high-level workflows that stitch together multiple tool calls for common financial analysis tasks. Instead of calling individual tools one at a time, each command orchestrates 4-5 tools into

117 skills · 54 commands · 5 MCPs

A structural codebase indexer with an MCP server for AI-assisted development. Zero runtime dependencies — uses Python's ast module for Python analysis and regex-based parsing for TypeScript/JS, Go, and Rust. Requires Python 3.11+. Indexes codebases by parsing source files into structural metadata -- functions, classes, imports, dependency graphs, and cross-file call chains -- then exposes 18 query

This skill should be used when the user says "why now", "is the timing right", "what's changed", "why didn't this exist before", "why is this possible now", "what's the tailwind", or needs to formalize whether there is a structural timing advantage for this idea — not just "AI is taking off.

Use when user requests diagrams, flowcharts, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Generates .excalidraw files and exports to PNG/SVG via Kroki API or locally using excalidraw-brute-export-cli.

A Model Context Protocol (MCP) server providing 58 AI-optimized tools for .NET/C semantic code analysis, navigation, refactoring, and code generation using Microsoft Roslyn. Built for AI coding agents - provides compiler-accurate code understanding that AI cannot infer from reading source files alone. Then run with: 1. Install the tool globally: 2. Create .mcp.json in your project root: 3. Restart

Ace the Claude Certified Architect exam Adaptive certification prep powered by the Model Context Protocol. 390 questions. Guided capstone build. 30 concept handouts. 6 reference projects. Practice exams. Spaced repetition. Zero sycophancy. Quick Start • Features • How It Works • Study Modes • Capstone Build • Reference Projects • Concept Handouts • Exam Domains • Architecture Architect Cert is a f

>

Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Also handles MCP setup and configuration.

The memory system for AI coding agents. Decisions, lessons, and context that persist across sessions. mcp-name: io.github.omega-memory/omega-memory AI coding agents are stateless. Every new session starts from zero. - Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already e

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need. - OpenAI API Key: Required for generating embeddings (local embedding support planned) - Git: Must be a git repository (respec

mcp-ragchat An MCP server that adds RAG-powered AI chat to any website. One command from Claude Code. Tell Claude Code "add AI chat to mysite.com" and it will crawl your content, build a local vector store, spin up a chat server, and hand you an embed snippet. No cloud infra. No database. Just one API key. 1. Clone and build 2. Configure Claude Code (~/.claude/mcp.json) Open Claude Code and say: C

A Model Context Protocol (MCP) server that enables you to manage Gitea/Forgejo repositories through AI assistants like Claude, Gemini, and Copilot. If you want to: - Smart progress tracking: Let AI help you track project progress and analyze bottlenecks - Automated issue categorization: Automatically tag issue labels and set milestones based on content - Priority sorting: Let AI analyze issue cont

Want to use GPT-5, Gemini, or DeepSeek in Claude Code? Today you need to: 1. Create accounts with 5+ AI providers 2. Manage 5+ API keys and billing systems 3. Pay $20-100/month minimums per provider 4. Configure each provider separately That's too much friction. BlockRun MCP gives you access to 30+ AI models with: - Zero API keys - No accounts needed with OpenAI, Google, etc. - One wallet - Single

Outlook Assistant MCP server for Outlook email, calendar, and contacts — let your AI assistant manage your inbox directly from the conversation. Outlook Assistant connects AI assistants to your Microsoft Outlook account through the Model Context Protocol. Ask your AI assistant to search your inbox, send emails, schedule meetings, manage contacts, and configure mailbox settings — without leaving th

Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses

Headless IDA Pro binary analysis via Model Context Protocol. Go orchestrates multi-session concurrency while Python workers handle IDA operations. Key features: - Multi-session concurrency via process isolation - 52 MCP tools for binary analysis - Automatic session timeouts (4 hours default, configurable) - Paginated results with configurable limit (default 1000) - Il2CppDumper metadata import for

An MCP (Model Context Protocol) server that makes critical best practices automatically available to Claude AI in every conversation. Based on exhaustive analysis of 96+ real documented failures over 6+ months of intensive production usage. The system provides 21 numbered rules organized into 5 categories, with automatic verification checklists, rule summaries, and auto-update capabilities. - 21 C

iptables for MCP. Blocks dangerous tool calls, scans for secret leakage, logs everything. No AI, no cloud, pure rules. Sits between your AI coding tool (Claude Code, Cursor, Windsurf) and MCP servers, intercepting every JSON-RPC message and enforcing YAML-defined policies. MCP servers have full access to your filesystem, shell, databases, and APIs. When an AI agent calls tools/call, the server exe

Claude Code plugins for AWS development with specialized knowledge and MCP server integrations, including CDK, serverless architecture, cost optimization, and Bedrock AgentCore for AI agent deployment. Shared AWS agent skills including AWS Documentation MCP configuration for querying up-to-date AWS knowledge. - AWS MCP server configuration guide - Documentation MCP setup for querying AWS knowledge

|

Live handbook: https://girijashankarj.github.io/cursor-handbook/ The open-source rules engine for Cursor IDE — 117 components (rules, agents, skills, commands, hooks) that turn your AI into a senior engineer who follows your standards, knows your codebase, and never wastes a token. If cursor-handbook helps you, consider giving it a ⭐ — it helps others discover it. - Ways to use - The Problem -

Secure environment variable management with Varlock. Use when handling secrets, API keys, credentials, or any sensitive configuration. Ensures secrets are never exposed in terminals, logs, traces, or Claude's context. Trigger phrases include "environment variables", "secrets", ".env", "API key", "credentials", "sensitive", "Varlock".

Multi-cloud pricing comparison MCP server for AWS, Azure, GCP, and OCI. Compare compute, storage, egress, and Kubernetes costs across all major cloud providers with a single query. - Comprehensive Coverage: 2,700+ instance types across all providers - AWS: 1,147 EC2 instances + 353 RDS database types + Lightsail - Azure: 1,199 VM types - GCP: 287 instance types across 40+ regions - OCI: 600+ produ