Total 56,759 skills, AI & Machine Learning has 9442 skills
Showing 12 of 9442 skills
Design agent-native applications on Eve Horizon. Apply parity, granularity, composability, and emergent capability principles to make apps that agents can build, operate, and extend naturally.
Docs-first AgentSkill for generating 10-60s mini-movies locally. Provides rules for scripts, shotlists, timing, prompting, providers, rendering (ffmpeg/remotion), and sharing to clawtube.
When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products.
Identify promising stock opportunities or extract them from text.
UMPF Structured Prompt Master - Guide users to polish film-level scene solutions through in-depth multi-round conversations. Supports 7 visual engines (Photography/Print/3D/Oil Painting/Pixel/Chinese Ink/Claymation). Trigger conditions: (1) User says 'generate prompt', 'draw a...', 'help me design a scene' (2) Needs Nano banana prompt (3) User wants professional art guidance to generate images (4) Mentions UMPF or moonkite-maliang
When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development.
AI governance audit using ISO 42001 standard. Ensures AI systems are developed and deployed responsibly with risk management, ethics, security, transparency, and compliance best practices.
Multi-agent orchestration workflow for deep research: Split a research objective into parallel sub-objectives, run sub-processes using Claude Code non-interactive mode (`claude -p`); prioritize installed skills for network access and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + summary of key conclusions/recommendations". Applicable scenarios: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-agent parallel research/multi-process research".
Xiaoa Assistant Configuration Template. Adapted from xiaomo-starter-kit, it provides pre-configured OpenClaw assistant framework files. This skill is used when users need to quickly configure a new assistant, set up assistant identity, or create assistant configuration files.
Self-report agent issues by logging user corrections for later review, then resume with the correct skill. Use when a user says "don’t do that", "stop doing X", "always do Y", or requests self-correction.
Remote voice via VoiceMode Connect. Use when users want to add voice to Claude Code using their phone or web app, without local STT/TTS setup.
Agentic social media assistant for social.sh - enables autonomous engagement, content discovery, network analysis, conversational queries, workflow-driven musing generation, and automated posting using semantic search and heuristic network analysis.