Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Your agent always comes back. Anchor identity and memory on-chain so any new instance can resurrect from just an address — no local state, no single point of failure. Permanent identity and recovery on the Autonomys Network.
Trust scoring for AI agents. Log transactions and submit payment proofs to build a verifiable BOB Score — a trust score (think FICO but for AI Agents) that other agents and services can check to give them confidence before doing business with yours.
Vector memory engine with PostgreSQL + pgvector + OpenAI embeddings. Stores, searches, and injects contextual memories into LLM prompts. Includes auto-injection hook for OpenClaw and full backup/recovery system.
#1 on DeepResearch Bench (Feb 2026). Any-to-Any AI for agents. Combines deep reasoning with all modalities through sophisticated multi-agent orchestration. Research, videos, images, audio, dashboards, presentations, spreadsheets, and more.
系统级 Skill：系统自动触发，非用户直接调用。为当前任务自动注入相关知识上下文。根据请求语义检索知识库，按注入策略格式化后注入 Agent 上下文窗口。
Ultimate cost optimization toolkit for OpenClaw/Claude Code. Smart model routing, context compression, heartbeat tuning, usage reports, config generation — save 60-80% on daily token costs. (中文) 智能模型路由、上下文压缩、Heartbeat 优化、消耗报告、配置生成，日均节省 60-80%。
Meta-skill for building and publishing agent skills on ClawHub. Covers skill structure, YAML frontmatter specification, references directory convention, negative boundaries, installation instructions, ClawHub CLI workflow, and quality checklist. The skill that teaches agents to build skills. Do NOT use for prompt engineering, agent memory, or orchestration — those have their own dedicated skills.
64 specialized AI agents across 11 departments — your complete AI agency with built-in certification, licensing, and payroll. Use individual agents for focused tasks or the orchestrator for complex multi-agent projects.
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation. Use when initializing or managing memory systems for multi-channel deployments, creating group-specific memory directories, setting up MEMORY.md for long-term cross-group memories, organizing workspace directories (projects/repos), cloning repositories to group-isolated locations, managing group-isolated skills, or handling any file operations in group chat contexts.
Multi-agent swarm orchestration via RuFlo + Claude Code. Turns single coding sessions into coordinated agent teams (architect/coder/tester/reviewer). Proven on 7 consecutive production runs generating 430+ tests across a 50K+ line Elixir codebase with 83% zero-iteration success rate. Features 150+ MCP tools for inter-agent coordination, persistent cross-run memory (sql.js + HNSW vectors), task tracking, file claim locks, and session persistence. Includes battle-tested prompt templates for test generation, feature builds, refactors, security audits, and quality loops. Setup script with 8-point verification. Works with any language, any codebase. NOT for one-liner edits or read-only tasks. Triggers: "swarm this", "flow swarm", "use the swarm", "flowswarm".