llm-ai
4K
agent-browser
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
openclaw
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
4K
creative-agents
Integration scripts for the creative agent swarm managed by overstory (Claude Code). Use when configuring or running researcher, social media, blog, or scribe agents.
openclaw
data-ai
llm-ai
4K
agent-spawner
Spawn a new OpenClaw agent through conversation. Uses official Docker setup and non-interactive onboarding, carries over API keys, tools, plugins, and skills from the current agent. User answers 2-3 questions. Use when the user wants to create, spin up, deploy, or provision a new OpenClaw agent.
openclaw
data-ai
llm-ai
4K
capability-evolver
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
openclaw
data-ai
llm-ai
4K
feishu-memory-recall
Cross-group memory, search, and event sharing for OpenClaw Feishu agents
openclaw
data-ai
llm-ai
4K
prompt-optimizer
Evaluate, optimize, and enhance prompts using 58 proven prompting techniques. Use when user asks to improve, optimize, or analyze a prompt; when a prompt needs better clarity, specificity, or structure; or when generating prompt variations for different use cases. Covers quality assessment, targeted improvements, and automatic optimization across techniques like CoT, few-shot learning, role-play, and 50+ more.
openclaw
data-ai
llm-ai
4K
agent-memory-setup-v2
Create a 3-tier memory directory structure (HOT/WARM/COLD) for OpenClaw agents and configure the built-in memory-core plugin to use Google Gemini Embeddings 2 (gemini-embedding-2-preview) for semantic memory search. Creates memory/ directories and stub files only — no code execution or external API calls from the setup script. After setup, the agent's memory_search tool uses Gemini's cloud embedding API to index memory files. Requires a free Google Gemini API key. Use when setting up a new agent's memory system or asked about semantic memory search. Triggers on "set up memory", "memory setup", "agent memory", "gemini memory", "semantic search memory", "onboard new agent".
openclaw
data-ai
llm-ai
4K
agentscout
Discover trending AI Agent projects on GitHub, auto-generate Xiaohongshu (Little Red Book) publish-ready content including tutorials, copywriting, and cover images.
openclaw
data-ai
llm-ai
4K
contextbroker
A cross-agent memory and context SDK for AI systems. Provides structured context injection, conversation memory portability, and context enrichment.
openclaw
data-ai
llm-ai
4K
meme-rush
Meme token fast-trading assistant with two core capabilities: 1. Meme Rush - Real-time meme token lists from launchpads (Pump.fun, Four.meme, etc.) across new, finalizing, and migrated stages 2. Topic Rush - AI-powered market hot topics with associated tokens ranked by net inflow Use this skill when users ask about new meme tokens, meme launches, bonding curve, migration status, pump.fun tokens, four.meme tokens, fast meme trading, market hot topics, or trending narratives.
openclaw
data-ai
llm-ai
4K
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.
openclaw
data-ai
llm-ai
4K
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)
openclaw
data-ai
llm-ai
4K
smart-memory-manager
Intelligent memory management for agents with short/long-term memory layering, semantic search, auto summarization, RAG enhancement
openclaw
data-ai
llm-ai
4K
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.
openclaw
data-ai
llm-ai
4K
opennexum-ts
Contract-driven multi-agent orchestration with ACP. TypeScript CLI for spawning and tracking coding agents via OpenClaw sessions_spawn.
openclaw
data-ai
llm-ai
4K
xai-search
Search X/Twitter and the web in real-time using xAI's Grok API with agentic search tools.
openclaw
data-ai
llm-ai
4K
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.
openclaw
data-ai
llm-ai
4K
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.
openclaw
data-ai
llm-ai
4K
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。
openclaw
data-ai