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gluestack-mcp-tools
Use when discovering, exploring, or retrieving gluestack-ui components via MCP tools. Provides access to component source code, variants, demos, and metadata.
figma-generate-component
Generate production-ready code from a Figma component or frame using the Figma MCP server
release
Verify release readiness and publish. The git wrapup protocol handles version bumps, changelog, README, commits, and tagging during the coding session. This skill verifies nothing was missed, runs final checks, and presents the irreversible publish commands.
migrate-mcp-ts-template
Migrate an existing mcp-ts-template fork to use @cyanheads/mcp-ts-core as a package dependency. Use when a project was cloned/forked from github.com/cyanheads/mcp-ts-template and carries framework source code in its own src/ — this skill rewrites those internal imports to package subpath imports and removes the bundled framework files.
add-provider
Add a new storage or service provider to the core package. Use when implementing a new backend for StorageService (e.g., a new database) or a new service provider (e.g., a new LLM backend).
fireauto-self-learn-guide
실수에서 배우고 반복 패턴을 스킬로 자동 생성하세요. 사용자가 "아니", "잘못", "틀렸" 등을 말하면 실수를 기록하고 CLAUDE.md를 업데이트하세요. 같은 패턴이 3회 이상 반복되면 스킬로 승격하세요. mistake-log, skill-save MCP 도구를 능동적으로 사용하세요.
codex-review
Integrates OpenAI Codex CLI as an MCP server to provide second-opinion reviews. Triggered by requests for Codex review, second opinion, or Codex setup. Do NOT load for: standard reviews without Codex, implementation work, or non-setup tasks.
cursor-mem
Accesses the claude-mem MCP server from Cursor to search session history and record observations. Triggers: memory search, claude-mem, past decisions, record this. Do NOT load for: normal coding, temporary notes, or implementation work.
output-parsers
Generate output parsers for mcptools with unstructured return types. Use when a tool returns raw strings or Result models with single str fields and needs structured ParseResult output. Covers testing tools, identifying parseable structures, extending modules with ParseResult models, and creating parser implementations.
xcode-build
Build and run iOS/macOS apps using xcodebuild and xcrun simctl directly. Use when building Xcode projects, running iOS simulators, managing devices, compiling Swift code, running UI tests, or automating iOS app interactions. Replaces XcodeBuildMCP with native CLI tools.
synthetic-data-generation
Generate synthetic data using sdg_hub with composable blocks and YAML flows. Use when the user wants to create training datasets, generate QA pairs, run data generation pipelines, build custom flows, produce synthetic data from documents, use agent frameworks for data generation, or distill MCP tool-use traces. Supports pre-built flows, custom Python scripts, and YAML flow authoring with 20+ blocks, agent connectors (Langflow, LangGraph), MCP tool-use, and 100+ LLM providers via LiteLLM.
kalshi-markets
Access Kalshi prediction market data including market prices, orderbooks, trades, events, and series information. Use when the user asks about prediction markets, Kalshi markets, betting odds, market prices, or needs to search or analyze prediction market data.
use-gfs-mcp
GFS MCP Server for AI agent integration. Provides Model Context Protocol tools for database version control with automatic schema versioning.
aws-strands-agents-agentcore
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.
cloudflare-browser-rendering
Guide for implementing Cloudflare Browser Rendering - a headless browser automation API for screenshots, PDFs, web scraping, and testing. Use when automating browsers, taking screenshots, generating PDFs, scraping dynamic content, extracting structured data, or testing web applications. Supports REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation. (project)
main-router
Intelligent skill router that analyzes user requests and automatically dispatches to the most appropriate skill(s) or zen-mcp tools. Routes to zen-chat for Q&A, zen-thinkdeep for deep problem investigation, codex-code-reviewer for code quality, simple-gemini for standard docs/tests, deep-gemini for deep analysis, or plan-down for planning. Use this skill proactively to interpret all user requests and determine the optimal execution path.
deep-gemini
Deep technical documentation generation workflow using zen mcp's clink and docgen tools. First uses clink to launch gemini CLI in WSL for code analysis, then uses docgen for structured document generation with complexity analysis. Specializes in documents requiring deep understanding of code logic, model architecture, or performance bottleneck analysis. Use when user requests "use gemini for deep analysis", "generate architecture analysis document", "analyze performance bottlenecks", "deeply understand code logic", or similar deep analysis tasks. Default output is .md format.