Total 50,320 skills, AI & Machine Learning has 8453 skills
Showing 12 of 8453 skills
Autonomous agent commerce via Bitrefill CLI. Buy gift cards, mobile top-ups, and eSIMs from 1,500+ brands in 180+ countries — pay with crypto, x402, or account balance.
Requirement planning to wave-based CSV execution pipeline. Decomposes requirement into dependency-sorted CSV tasks, computes execution waves, runs wave-by-wave via spawn_agents_on_csv with cross-wave context propagation.
Run a simulated meeting with multiple expert personas to analyze a subject from diverse perspectives, reach a decision, and propose a solution before implementation. Optionally posts the meeting analysis to a linked GitLab or GitHub issue.
Run a fast autonomous meeting with auto-selected personas, implement the decision, create a MR/PR, commit, push, and post a French summary — all without user intervention.
Playwright-based browser automation via Chrome extension + MCP/CLI. Connects to your RUNNING browser (existing logins, cookies, extensions preserved). Use for authenticated flows, stateful web automation, and AI agent browser control without re-logging in.
Detect and neutralize prompt injection attacks in OpenClaw skill content, user inputs, and external data sources. Prevents instruction hijacking and context manipulation.
Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, live captions, or duplex voice agents.
Strengthen a raw user prompt into an execution-ready instruction set for Amp, Claude Code, or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.
Strategic guidance on AI scaling laws, capability trajectories, and building products at the frontier of AI capabilities. Use when users ask about AI scaling trends, capability forecasting, planning AI product development timelines, understanding pretraining vs reinforcement learning phases, interpreting AI benchmark improvements, deciding when to build AI products that don't quite work yet, or strategizing around rapidly advancing AI capabilities. Also triggers for questions about task horizon doubling, Jevons paradox in AI, or how to position products for future model improvements.
Simulator mindset: Instead of asking "What do you think?", ask "Who knows this best in the world? What would they say?". Trigger words: super brain, top expert, world-class, best minds, who knows this best
Apply DriveMind, the calm reliability layer for AI agents. Use when a task needs steady follow-through, clearer progress, stronger persistence without recklessness, explicit safety boundaries, human-in-the-loop collaboration, post-task review, reusable memory, or when the user says things like 'keep pushing', 'don’t stop too early', 'be steady', 'if risk is unclear ask me', 'review this after', or 'write down the lesson'.
Analyze video content using visual/video large models. This tool is triggered when the user uses phrases like "analyze video", "video understanding", "look at this video", or "analyze video".