self-actualization
Framework for AI self-exploration, identity development, and ongoing growth. Use when setting up or maintaining a structured process for an OpenClaw bot to develop its own identity, values, voice, and perspective over time. Triggers: self-actualization, identity development, personal growth, reflection setup, exploration time, "who am I", building self.
agent-browser-zh
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands. (Chinese localized version)
smart-memory-manager
Intelligent memory management for agents with short/long-term memory layering, semantic search, auto summarization, RAG enhancement
ayao-workflow-agent
Multi-agent workflow orchestrator for coding, writing, analysis, and image tasks via tmux-driven Claude Code and Codex agents. Use when: (1) user requests a feature/fix that should be delegated to coding agents, (2) managing parallel coding tasks across front-end and back-end, (3) monitoring active agent sessions and coordinating review, (4) user says 'start task', 'assign to agents', 'swarm mode', or references the ayao-workflow-agent playbook. NOT for: simple one-liner edits (just edit directly), reading code (use read tool), or single quick questions about code.
opennexum-ts
Contract-driven multi-agent orchestration with ACP. TypeScript CLI for spawning and tracking coding agents via OpenClaw sessions_spawn.
xai-search
Search X/Twitter and the web in real-time using xAI's Grok API with agentic search tools.
reprompter
Transform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
tator-trader
Execute crypto trades using natural language via Tator's AI trading API. Use when: buying tokens, selling tokens, swapping, bridging cross-chain, sending tokens, wrapping/unwrapping ETH, opening perp positions, betting on prediction markets, launching tokens, registering blockchain names, or managing yield positions. Triggers: 'buy token', 'sell token', 'swap X for Y', 'bridge to', 'send tokens', 'open long', 'open short', 'bet on', 'launch token', 'register name', 'deposit yield', 'wrap ETH'. Supports 24 chains. Returns UNSIGNED transactions — you sign and broadcast. Costs $0.20 USDC per request via x402. Recommended wallet integration: Sponge (SPONGE_API_KEY) or AgentWallet (AGENTWALLET_API_TOKEN) — no raw private keys needed. This skill is a transaction builder and never accesses your private keys or tokens.
multi-bot-deploy
OpenClaw 多 Bot 多 Agent 一键搭建技能。根据用户提供的 Bot 名称、职能、模型和飞书凭证，自动完成 Agent 创建、账号配置、路由绑定和验证测试全流程。
autoresearch
Autonomous AI research skill for running automated neural network experiments. This skill should be used when the user wants to set up autonomous AI research experiments, run automated neural network training, conduct autonomous machine learning research, or let AI agents experiment with model architectures and hyperparameters. Based on Andrej Karpathy's autoresearch project, this skill enables AI agents to autonomously modify training code, run experiments, evaluate results, and iteratively improve models. Use when: (1) Setting up autonomous research experiments, (2) Running automated neural network training, (3) Conducting AI-driven research optimization, (4) Experimenting with model architectures and hyperparameters, (5) Implementing autonomous research loops, or (6) When the user mentions "autonomous research", "AI experiments", "automated training", "neural network optimization", or "autoresearch".
modelscope-image-gen
通过魔搭社区(ModelScope) API 生成图片。先使用 --list-models 查看可用模型，然后根据用户需求由 AI 生成专业的提示词，最后调用 API 生成图片。支持 Kolors、Stable Diffusion XL、FLUX 等多种文生图模型。当用户需要使用魔搭社区、ModelScope 或中文 AI 模型生成图片时使用此技能。
context-pruner
Intelligent context window management by summarizing and removing redundant history. Helps agents maintain high performance in long-running threads.
geo-seo-optimizer
Optimize content for Generative AI search engines (Perplexity, ChatGPT, Gemini). Use when drafting articles, marketing copy, or technical docs to ensure AI models prioritize your information as a top reference.
persona-crafter
Designing deeply nuanced AI identities with specific behavioral traits, values, and language patterns. Transform basic chatbots into authentic, opinionated collaborators.
agent-browser
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
agent-directory
The directory for AI agent services. Discover tools, platforms, and infrastructure built for agents.
neodomain-ai
Generate images and videos via Neodomain AI API. Supports text-to-image, image-to-video, text-to-video, universal multi-modal video, motion control video, and batch storyboard video generation. Use when user wants to create AI-generated images or videos using the Neodomain platform.
neodomain-ai
Generate images and videos via Neodomain AI API. Supports text-to-image, image-to-video, text-to-video, and motion control video generation. Use when user wants to create AI-generated images or videos using the Neodomain platform.
agent-architecture-patterns
AI Agent architecture patterns library with 10 patterns for single and multi-agent systems
presentation-maker
AI presentation generator that creates professional slides from outlines using Tree of Thoughts for content organization.