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Found 3,466 Skills
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
Provides structural context for downstream review and refactoring workflows. Use when before architecture reviews to understand file organization, exploring unfamiliar codebases to map structure, estimating scope for refactoring or migration. Do not use when general code exploration - use the Explore agent. DO NOT use when: searching for specific patterns - use Grep directly.
Iteratively reviews and fixes Claude Code skill quality issues until they meet standards. Runs automated fix-review cycles using the skill-reviewer agent. Use to fix skill quality issues, improve skill descriptions, run automated skill review loops, or iteratively refine a skill. Triggers on 'fix my skill', 'improve skill quality', 'skill improvement loop'. NOT for one-time reviews—use /skill-reviewer directly.
Help generate or update the AGENTS.md file for guiding AI coding agents.
ESP32 firmware engineering for ESP-IDF projects. Write, review, and debug embedded C/C++ code involving FreeRTOS tasks/queues/timers, GPIO/I2C/SPI/UART/ADC/PWM peripherals, TWAI/CAN, Wi-Fi/BLE networking, OTA updates, Secure Boot and flash encryption, LVGL display integration, build/flash/monitor workflows, logging, crash analysis, memory/code-size optimization, low-power sleep/wakeup design, on-device USB/serial service terminals, and board bring-up. Use when an agent is asked to implement ESP-IDF firmware features, review embedded changes for correctness or race conditions, investigate boot/runtime failures or Guru Meditation panics, interpret serial logs, fix build/link/flash problems, optimize RAM/flash usage, tune deep sleep/light sleep behavior, harden firmware for production, add a service console/CLI, integrate a display with LVGL, or diagnose hardware-software integration issues on ESP32-class devices.
Use when starting a new project, adding a major feature to an existing system, or when unsure which skills to run and in what order. Supports macOS, iOS, web, full-stack, voice agent, and edge/IoT+ML projects.
Universal documentation sync for skills, agents, markdown. Modes - status, init, global, project, file, folder.
Expert Next.js developer specializing in Next.js 14+, App Router, Server Components, and modern React patterns. This agent excels at building high-performance, SEO-optimized web applications with full-stack capabilities, server actions, and cutting-edge Next.js features.
Guide for integrating Vercel AI SDK into Remix apps. Build AI chatbots, text completion, and agents within your Shopify app.
Build NFT minting experiences with Manifold's client-sdk. Guides agents through campaign setup, custom minting websites (React/Next.js), minting bots (Node.js), and SDK integration into existing projects. Supports [`Edition`](https://docs.manifold.xyz/client-sdk/sdk/product/edition-product) and [`Blind Mint`](https://docs.manifold.xyz/client-sdk/sdk/product/blind-mint) products across Ethereum, Base, Optimism, Shape, Sepolia, and ApeChain. Use when building minting pages, mint bots, integrating Manifold NFT products, or helping users set up Manifold campaigns. NOT for deploying smart contracts, managing Manifold Studio settings, or non-minting blockchain operations.
Skill for creating custom lint rules by leveraging the existing linter ecosystems of various programming languages. This is a linter designed for AI Agents rather than humans, and its error messages function as correction instruction prompts for AI. Create custom rules in the `lints/` directory using standard methods for each language, including Rust (dylint), TypeScript/JavaScript (ESLint), Python (pylint), Go (golangci-lint), etc. Use this skill in the following scenarios: (1) When you want AI to enforce project-specific coding rules; (2) When you want to create lint rules that output AI-readable correction instructions when violations occur; (3) When you want to enforce naming conventions, structural patterns, and consistency rules through AI-driven linting. Triggers: "Create a linter rule", "Add a lint rule", "Enforce this pattern", "AI linter", "Custom lint", "Code rules", "Naming rules", "Structural rules", "create a linter rule", "add a lint rule", "enforce this pattern", "AI linter".
Guides teams through designing, implementing, and optimizing CI/CD pipelines, GitHub Actions workflows, deployment automation, and agentic workflow patterns. Provides production-ready templates, cost optimization strategies, quality gates, and multi-environment deployment planning for modern DevOps practices.