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Found 1,630 Skills
Free and open-source Google Maps scraper using Docker. Use when the user wants to find businesses, extract leads, emails, reviews, or ratings from Google Maps. Triggers on requests like "find all <business type> in <city>", "scrape Google Maps for <keyword>", "get leads from Google Maps". Keywords: google maps, scrape, business, leads, restaurants, shops, places, reviews, ratings, emails, contacts.
Install, update, remove, and manage agent skills using `npx skills`. Use when asked to install, add, update, remove, or set up a new skill. Handles discovery, copy-mode installation to ~/.openclaw/skills/, and gateway restart so the skill is immediately available. Triggers on "install skill", "add skill", "update skill", "remove skill", "set up skill", "npx skills".
Command-line interface for ComfyUI - AI image generation workflow management via ComfyUI REST API. Designed for AI agents and power users who need to queue workflows, manage models, download generated images, and monitor the generation queue without a GUI.
Unix-composable CLI design patterns. Use when building CLI tools, designing command trees, implementing output layers, or testing CLI behavior. Covers stream separation (stdout/stderr), format flags (--json/--plain), exit codes, TTY detection, composability, and error design. Language-agnostic principles; TypeScript implementation patterns in resources/. For API design (REST, HTTP), see api-design.
Image generation and presentations. Use when: - User asks for images: logos, icons, app assets, diagrams, flowcharts, architecture diagrams, patterns, textures, photo edits, restorations - User needs a presentation or slide deck Covers nanobanana CLI for image generation and Slidev for presentations.
Jamie platform help — bot-free AI meeting note-taker, REST API with personal and workspace keys, webhook automations, CRM sync to HubSpot/Salesforce/Attio, MCP server for Claude/ChatGPT/Cursor. Use when setting up Jamie for a sales team, connecting Jamie webhooks to Make.com or a custom endpoint, pulling meeting transcripts and summaries via Jamie API, syncing Jamie action items to Asana or CRM, troubleshooting Jamie not recording or missing speakers, comparing Jamie pricing tiers, or configuring Jamie speaker recognition. Do NOT use for choosing between note-takers (use /sales-note-taker) or reviewing a specific call for coaching (use /sales-call-review).
Complete Polymarket playbook covering research and trading on the world's largest prediction market. Use this for ANY Polymarket task. Research triggers: finding events ("what's happening in politics", "show me election odds", "NBA finals odds", "BTC to 200k markets", "IPL / FIFA / UFC / F1 betting markets"), listing markets with filters, searching by keyword, reading orderbooks, mid prices, spreads, last trade prices, recent trades, open interest, volume, liquidity, and any user's positions/portfolio/PnL by address. Trading triggers: place a bet on YES or NO, buy/sell outcomes, limit orders (GTC/GTD), market orders (FOK/FAK), batch orders, cancel one/many/all orders, check and set on-chain USDC.e and CTF approvals, neg-risk (multi-outcome) markets, tick size handling (0.01/0.001/0.0001), and builder-code attribution. Covers all routes under /agent/polymarket/* (events, markets, search, orderbook, price, prices, spread, last-trade-price, trades, market/:id/open-interest|volume|liquidity|trades, user/:address/positions|trades|portfolio|pnl, order, order/market, orders, order/:id, order/:id/scoring, approvals, builder/*). Use when the user mentions Polymarket, prediction markets, event betting, binary outcomes, probability markets, YES/NO tokens, conditional tokens, or politics/sports/crypto/culture odds. Prerequisite: openfin-setup for trading.
Build a compilable type-level skeleton from a high-level architecture spec before writing any implementation logic. Use when you have an architectural assessment, design doc, or restructuring plan and need to prove the new architecture is sound before migrating code. Also use when asked to "scaffold the new architecture", "create type stubs", "build the shell", "flesh out this spec", "skeleton the modules", or any request to turn architectural intent into verified structure. This skill follows the "Human Builds the Shell" paradigm: types are hard constraints that the compiler enforces, so if the skeleton compiles, the architecture is structurally sound. Especially valuable for large refactors where you don't trust agents to maintain coherence.
Create responsive grid-based dashboards with draggable, resizable panels. Use this skill when implementing Syncfusion Angular Dashboard Layout, creating customizable dashboard layouts, adding dynamic panels, enabling drag-drop panel repositioning, resizing panels, saving/restoring dashboard states, making dashboards responsive, or styling dashboard components with CSS customization.
Framework for rolling out organizational changes without chaos. Covers the ADKAR model adapted for startups, communication templates, resistance patterns, and change fatigue management. Handles process changes, org restructures, strategy pivots, and culture changes. Use when announcing a reorg, switching tools, pivoting strategy, killing a product, changing leadership, or when user mentions change management, change rollout, managing resistance, org change, reorg, or pivot communication.
Handle cross-border orders with customs form generation, duties and taxes estimation, HS code assignment, and restricted items blocking
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck — that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.