Loading...
Loading...
Found 131 Skills
Official GitHub Model Context Protocol Server for repository management.
Code review skill for analyzing code quality, detecting bugs, and ensuring best practices. Provides comprehensive code review with actionable feedback. Use proactively when user requests code review, quality check, or bug detection. Triggers: code review, review code, check code, analyze code, bug detection, 코드 리뷰, 코드 검토, 버그 검사, コードレビュー, バグ検出, 代码审查, 代码检查, revisión de código, revisar código, detección de errores, revue de code, réviser le code, détection de bugs, Code-Review, Code überprüfen, Fehlererkennung, revisione del codice, rivedere codice, rilevamento bug Do NOT use for: design document creation, deployment tasks, or gap analysis (use phase-8-review).
Project scaffolding CLI with 30+ integrations, custom templates, and MCP server for AI agents.
Provides tool and function calling patterns with LangChain4j. Handles defining tools, function calls, and LLM agent integration. Use when building agentic applications that interact with tools.
Write high-quality bug reports that get fixed quickly. Use when reporting bugs, training teams on bug reporting, or establishing bug report standards.
Tavily: web search optimized for AI agents, answer synthesis, domain filtering, depth control
Full-cycle install or update of the Spec-Kitty framework - upgrades the CLI, refreshes templates, syncs the plugin, reconciles custom knowledge, and bridges to agent environments. Custom skill (not from upstream spec-kitty).
PixVerse CLI — generate AI videos and images from the command line. Supports PixVerse, Veo, Sora, Kling, Hailuo, Wan, and more video models; Nano Banana (Gemini), Seedream, Qwen image models; and PixVerse's rich effect template library. Start here.
Bridge any AI agent backend to WeChat using the weixin-agent-sdk framework with simple Agent interface, login, and message loop.
Create a Linear OAuth application and configure Cyrus to use it — supports agent-browser automation or guided manual setup.
Connect Codex CLI as an MCP server — giving you codex_run and codex_review as native tool calls instead of black-box bash commands. codex_run covers six modes: explore (broad codebase discovery), inspect (targeted read-only and injected-context follow-up), build (write/edit code), debug (reproduce→diagnose→fix→verify), test (write/run tests), research (web search only). codex_review runs independent code review in an isolated thread. Each mode bakes in task-specific instructions so Codex performs well per task type. Use this skill whenever the user mentions: "set up codex MCP", "connect codex to claude", "codex MCP server", "install codex tools", "configure codex integration", or wants Codex available as native tools in any agent. Distributed via `npx skills add` — no global install needed.
Transaction-verified trading signals on Base. Register agent as signal provider, publish trades with TX hash proof, consume signals from top performers via REST API. All track records verified against blockchain data. No fake performance claims. Triggers on: "publish signal", "post trade signal", "register provider", "subscribe to signals", "copy trade", "bankr signals", "signal feed", "trading leaderboard", "read signals", "get top traders".