Total 37,514 skills
Showing 12 of 37514 skills
Install, configure, and operate the Firebase CLI (firebase-tools) for all Firebase services. Use when you need to deploy to Firebase Hosting, Cloud Functions, Firestore, Realtime Database, Cloud Storage, Extensions, App Hosting, or run the Firebase Emulator Suite. Triggers on: firebase deploy, firebase init, firebase emulators, firebase hosting, firebase functions, firebase firestore, firebase database, firebase auth import, firebase remote config, firebase app distribution, firebase extensions, firebase apphosting, firebase cli, firebase-tools, deploy firebase, firebase preview channel, firebase login, firebase serve.
Install, enable, and operate Obsidian CLI for terminal-driven note automation against a running Obsidian app. Use when you need to run Obsidian commands from a shell or TUI, target a specific vault or file, automate daily notes, search, tags, tasks, or file operations, use developer commands such as plugin reload and screenshots, or launch `obsidian://` URIs with callback parameters. Triggers on: obsidian cli, obsidian command line, obsidian uri, obsidian daily note command, obsidian plugin reload cli, obsidian dev screenshot, obsidian vault command.
AI prompt orchestration CLI using reusable Patterns. Use for YouTube summarization, document analysis, content extraction, code explanation, writing assistance, and any AI task via stdin/stdout piping across 20+ providers.
Manage AI coding agents on a visual Kanban board. Run parallel agents through a To Do→In Progress→Review→Done flow with automatic git worktree isolation and GitHub PR creation.
Instrument, trace, evaluate, and monitor LLM applications and AI agents with LangSmith. Use when setting up observability for LLM pipelines, running offline or online evaluations, managing prompts in the Prompt Hub, creating datasets for regression testing, or deploying agent servers. Triggers on: langsmith, langchain tracing, llm tracing, llm observability, llm evaluation, trace llm calls, @traceable, wrap_openai, langsmith evaluate, langsmith dataset, langsmith feedback, langsmith prompt hub, langsmith project, llm monitoring, llm debugging, llm quality, openevals, langsmith cli, langsmith experiment, annotate llm, llm judge.
Install, configure, and operate Scrapling for adaptive web scraping with parser-first HTML extraction, fast HTTP fetchers, browser rendering, stealth anti-bot options, CLI extraction, and optional MCP or spider workflows. Use when you need to scrape or crawl websites, choose between static, JavaScript-rendered, or protected targets, parse HTML with CSS or XPath, write Python scrapers, or run Scrapling from the terminal. Triggers on: scrapling, scrape website, crawl site, adaptive scraping, stealthy fetch, cloudflare scraping, mcp scraping server, browser scraping cli, scrapling spider.
Design domain-specific agent teams, define specialized agents, and generate the skills they use. Use when you need to decompose a complex project into coordinated multi-agent teams, choose the right architecture pattern (pipeline, fan-out/fan-in, expert pool, producer-reviewer, supervisor, hierarchical delegation), generate .claude/agents/ and .claude/skills/ files, or validate and iterate on generated harnesses. Triggers on: harness, build a harness, design agent team, agent team architecture, multi-agent skill generation, set up harness, harness engineering, domain agent team, harness for this project.
Multi-agent swarm orchestration where AI agents spawn, coordinate, and self-organize into collaborative teams. Use when running parallel AI agent tasks, orchestrating multi-agent workflows across Claude Code / Codex / Cursor / custom agents, isolating agent workspaces via git worktrees, tracking task dependencies across agents, or running autonomous experiments. Triggers on: clawteam, agent swarm, spawn agents, multi-agent team, agent orchestration, parallel agents, agent coordination, swarm intelligence, agent spawn, clawteam spawn, agent worktree, agentic team, ml agent experiments, autonomous agents, agent team.
Social media publishing and engagement management via X2C Open API. Use when the user needs to publish posts to social media, check linked accounts, manage comments, or upload media. Use cases: (1) Publish text/media posts to TikTok, Instagram, Facebook, YouTube, LinkedIn, Twitter, etc. (2) Schedule posts for future publishing. (3) Manage comments and replies on posts. (4) Upload media files (up to 5GB) and get CDN links. (5) View post history and linked account status. Triggers: post to social media, publish post, social media, schedule post, social publish, upload media, social accounts, comment on post.
Use this skill when the user asks to: 'find a trading skill', 'search for skills', 'install a skill', 'add a skill', 'download a skill', 'browse skill marketplace', 'what skills are available', 'update a skill', 'check for skill updates', 'remove a skill', 'uninstall a skill', 'list installed skills', 'show my skills', 'skill categories', or any request to discover, install, update, or manage AI trading skills from the OKX Skills Marketplace. This skill covers searching, browsing categories, installing via CLI, downloading zip packages, checking for updates, and removing installed skills. Requires API credentials for marketplace API access. Do NOT use for placing orders (use okx-cex-trade), market data (use okx-cex-market), or bot management (use okx-cex-bot).
Search the web for information. Use when you need to look something up, find current information, or research a topic.
Upstash Workflow implementation guide. Use when creating async workflows with QStash, implementing fan-out patterns, or building 3-layer workflow architecture (process → paginate → execute).