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Found 5,610 Skills
Configure and use the hosted YouTube Data MCP end-to-end with minimal user input. Use when users want the agent to verify Node.js and `npx`, configure MCP server config (Windows/macOS, Cursor/Codex/OpenClaw/OpenCode), request API key at setup time, run post-install capability discovery (`tools/list` and `get_patch_notes`), and then strongly recommend helper skill and Python setup for full local document and spreadsheet workflows.
Set up and manage a Tapcart CLI project. Use when the user wants to get started with Tapcart development for the first time, or manage an existing project — including auth, dependencies, linting, logs, and layout dev server. The user only needs to provide their App ID for first-time setup — the agent handles everything else.
Comprehensive prompt and context engineering for any AI system. Four modes: (1) Craft new prompts from scratch, (2) Analyze existing prompts with diagnostic scoring and optional improvement, (3) Convert prompts between model families (Claude/GPT/Gemini/Llama), (4) Evaluate prompts with test suites and rubrics. Adapts all recommendations to model class (instruction-following vs reasoning). Validates findings against current documentation. Use for system prompts, agent prompts, RAG pipelines, tool definitions, or any LLM context design. NOT for running prompts, generating content, or building agents.
Digital marketing agency coordinator and brand manager. Use this skill when the user wants to work on marketing for any brand — planning campaigns, creating content, optimizing channels, running ads, improving SEO, email marketing, social media, guerrilla marketing, or any marketing-related task. Also use when the user mentions SOSTAC, marketing plan, brand strategy, campaign management, marketing team, or wants to start marketing for a new product/brand. This is the entry point for all marketing work — always trigger this first for any marketing-related request, even if the user doesn't explicitly ask for 'the agency'.
Frontend UX rules for Ethereum dApps that prevent the most common AI agent UI bugs. Mandatory patterns for onchain buttons, token approval flows, address display, USD values, RPC configuration, and pre-publish metadata. Built around Scaffold-ETH 2 but the patterns apply to any Ethereum frontend. Use when building any dApp frontend.
Manages project documentation: AGENTS.md, README.md, CONTRIBUTING.md. Use when asked to update, create, or init these context files. Not for general markdown editing.
Generate a pre-meeting prep brief in Claude Code. Researches participants, pulls vault context, builds agenda, surfaces sharp questions. Use when user says "prep for this meeting," "I have a call with," "meeting tomorrow with," or "prep brief for [name/company]."
Audit and harden your OpenClaw configuration. Checks AGENTS.md, gateway settings, sandbox config, and permission policies for security weaknesses.
Structured Solana smart contract security audit using parallel scanning agents with confidence-scored findings. Use when the user asks to audit, review, or analyze a Solana program for security vulnerabilities, or when code contains solana_program, anchor_lang, pinocchio,
Upload local images to a GitHub PR and embed them in the description or comments. Use when asked to "attach screenshots to PR", "add images to PR", "upload test results to PR", "embed screenshots in PR description", "add before/after images to PR", "attach UI screenshots", "show test results in PR", "add visual evidence to PR", or any request involving images and PRs. Always use this skill when the user wants to visually document changes in a pull request, even if they don't use the word "upload" — phrases like "put the screenshot in the PR" or "show the image in the PR" should trigger this skill. Supports Playwright MCP / Chrome DevTools MCP / agent-browser as browser automation backends.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Use the ctx7 CLI to fetch library documentation, manage AI coding skills, and configure Context7 MCP. Activate when the user mentions "ctx7" or "context7", needs current docs for any library, wants to install/search/generate skills, or needs to set up Context7 for their AI coding agent.