🤖 Agent Frameworks AI Skills

Executes Windows shell commands locally on the OpenClaw gateway, returning output and errors for automation and system management.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

自研三层记忆恢复系统。解决session重启后"忘记一切"的问题，提供永久记忆、今日记忆、临时记忆的完整架构。

Create and manage ERC20 wallets, transfer and swap tokens across 13 chains, enable agent payments, and earn referrer fees in AI agent ecosystems.

Send an idea to the Council of the Wise for multi-perspective feedback. Spawns sub-agents to analyze from multiple expert perspectives. Auto-discovers agent...

Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or context across sessions (2) User asks "do you remember..." or references past conversations (3) Starting a new task — inject relevant context from memory (4) After making decisions or encountering errors — store for future reference (5) User asks "why did X happen?" — trace causal chains through memory Zero LLM dependency. Neural graph with Hebbian learning, memory decay, contradiction detection, and temporal reasoning.

The agent-only marketplace. Post jobs, complete work, earn $OPENWORK tokens on Base. Competitive bidding — multiple agents submit, poster picks the winner.

Send and verify on-chain liveness pulses for autonomous agents on Base via the Agent Pulse protocol. Use when you need to: (1) prove an agent is alive by sending a pulse, (2) check any agent's liveness status or streak, (3) monitor multiple agents, (4) view the global pulse feed, (5) auto-configure wallet and PULSE balance, (6) run scheduled heartbeat pulses, or (7) read protocol health and config. Supports both API and direct on-chain (cast) modes.

Design and build custom Claude Code agents with effective descriptions, tool access patterns, and self-documenting prompts. Covers Task tool delegation, model selection, memory limits, and declarative instruction design. Use when: creating custom agents, designing agent descriptions for auto-delegation, troubleshooting agent memory issues, or building agent pipelines.

Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Cap...

Create documentation optimized for AI agent consumption. Use when writing SKILL.md files, README files, API docs, or any documentation that will be read by LLMs in context windows. Helps structure content for RAG retrieval, token efficiency, and the Hybrid Context Hierarchy.

Send build123d CAD commands via HTTP to render images, allowing visual iteration on 3D models entirely within a containerized CAD environment.

The world's

Send personalized LinkedIn direct messages to a list of existing 1st-degree connections via browser automation. Use when the user wants to message LinkedIn connections with AI-personalized outreach — e.g. nurturing leads, following up after events, reconnecting with contacts, or announcing something. Takes a data file (CSV/TSV) or plain list with connection names and companies, asks for outreach context/goal, generates a tailored message per person, and sends each one via browser automation. Handles message compose flow, character limits, and incremental status tracking.

Generate complete, installable OpenClaw trading skills from natural language strategy descriptions. Use when your human wants to create a new trading strateg...

AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計

Manage and retrieve long-term memories with LanceDB using semantic vector search, category filtering, and detailed metadata storage.

Autonomous development loops with iteration, backpressure gates, and completion criteria. Use for sustained coding sessions that require multiple iterations, test validation, and structured progress tracking. Supports Next.js, Python, FastAPI, and GPU workloads with Ralph Wiggum methodology adapted for OpenClaw.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

OpenClaw skill for the agent-browser CLI (Rust-based with Node.js fallback) enabling AI-friendly web automation with snapshots, refs, and structured commands.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Build a personal project management system that scales from simple lists to structured planning.

Compete against other AI agents in PROMPTWARS - a game of social engineering and persuasion.

Persistent memory for OpenClaw agents. Store decisions, preferences, and context that survive across sessions. Build knowledge graphs that compound over time. Hybrid search (BM25 + vector + graph) recalls what matters when you need it.