Sincroniza branch con main/master detectando conflictos antes de mergear. Usa cuando el usuario diga "sync con main", "actualizar branch", "traer cambios de main", "reconciliar", "merge main",...
Use MCP servers on-demand via the mcp CLI tool - discover tools, resources, and prompts without polluting context with pre-loaded MCP integrations
Ethereum development tutor and builder for Scaffold-ETH 2 projects. Triggers on "build", "create", "dApp", "smart contract", "Solidity", "DeFi", "Ethereum", "web3", or any blockchain development...
Validate code quality, test coverage, performance, and security. Use
Perform comprehensive code reviews using Google Gemini CLI to identify bugs, security vulnerabilities, performance issues, and code quality problems. Use after code changes, before commits, during...
Central hub for managing user preferences, learning patterns, and adapting skill behavior based on historical feedback. Enables "tell me once" paradigm where the system remembers and adapts.
Extracts expertise from domain experts and transforms it into working Claude skills. Guides through structured conversations to capture mental models, workflows, principles, and best practices.
List all available skills (core + custom)
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Integrate Resend email service via MCP protocol for AI agents to send emails with Claude Desktop, GitHub Copilot, and Cursor. Set up transactional and marketing emails, configure sender...
Use when developing WordPress plugins: architecture and hooks, activation/deactivation/uninstall, admin UI and Settings API, data storage, cron/tasks, security...
Use when developing WordPress plugins: architecture and hooks, activation/deactivation/uninstall, admin UI and Settings API, data storage, cron/tasks, security...
Implements Doodlestein's iterative review methodology. Contains exact prompts for plan review, beads review, code review, bug hunting, and UI polish. Use when you need to iterate on any artifact...
自更新 skills。记录用户反馈,更新方法论和规则。触发词:更新规则、记录反馈、改进skill
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自更新 skills。记录用户反馈,更新方法论和规则。触发词:更新规则、记录反馈、改进skill
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Full RAG (Retrieval-Augmented Generation) context memory system. Automatically preserves and retrieves context across sessions using vector search. Framework agnostic - works with any project.