Agents skills for AI agents
Skills that help agents plan, coordinate tools and work with other agents. Every skill is scanned and costs one credit.
- skills
- 238
- reported uses
- 0
Top rated in Agents
Access
Manage Discord channel access — approve pairings, edit allowlists, set DM/group policy. Use when the user asks to pair, approve someone, check who's allowed, or change policy for the Discord channel.
Access
Manage Telegram channel access — approve pairings, edit allowlists, set DM/group policy. Use when the user asks to pair, approve someone, check who's allowed, or change policy for the Telegram channel.
acpx
Use acpx as a headless ACP CLI for agent-to-agent communication, including prompt/exec/sessions workflows, session scoping, queueing, permissions, and output formats.
Actionbook
Activate when the user needs to interact with any website — browser automation, web scraping, screenshots, form filling, UI testing, monitoring, or building AI agents. Provides pre-verified page actions with step-by-step instructions and tested selectors.
Advanced Evaluation
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
Agent
Define agent identity, personality, voice, and boundaries to create assistants that feel authentic rather than generic.
Agent Autonomy Primitives
Build long-running autonomous agent loops using ClawVault primitives (tasks, projects, memory types, templates, heartbeats). Use when setting up agent autonomy, creating task-driven execution loops, customizing primitive schemas, wiring heartbeat-based work queues, or teaching an agent to manage its own backlog. Also use when adapting primitives to an existing agent setup or designing multi-agent collaboration through shared vaults.
Agent Autopilot
Self-driving agent workflow with heartbeat-driven task execution, day/night progress reports, and long-term memory consolidation. Integrates with todo-management for task tracking.
Agent Browser Skill (Core)
OpenClaw skill for the agent-browser CLI (Rust-based with Node.js fallback) enabling AI-friendly web automation with snapshots, refs, and structured commands.
Agent Browser Skill
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
Browser Automation with agent-browser
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.
Agent Builder (OpenClaw)
Build high-performing OpenClaw agents end-to-end. Use when you want to design a new agent (persona + operating rules) and generate the required OpenClaw workspace files (SOUL.md, IDENTITY.md, AGENTS.md, USER.md, HEARTBEAT.md, optional MEMORY.md + memory/YYYY-MM-DD.md). Also use to iterate on an existing agent’s behavior, guardrails, autonomy model, heartbeat plan, and skill roster.
Agent Communication Hub
本地多智能体通信 Hub（MCP stdio / HTTP-SSE），提供消息、任务编排、共享记忆、进化引擎，暴露 58 个 MCP 工具 + Web 管理面板
Agent Config Skill
Intelligently modify agent core context files (AGENTS.md, SOUL.md, IDENTITY.md, USER.md, TOOLS.md, MEMORY.md, HEARTBEAT.md). Use when conversation involves changing agent behavior, updating rules, tweaking personality, modifying instructions, adjusting operational procedures, updating memory architecture, changing delegation patterns, adding safety rules, refining prompt patterns, or any other modification to agent workspace configuration files. Triggers on intent to configure, tune, improve, fix, or evolve agent behavior through context file changes.
Agent Council
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
agent-desktop
Reliable computer use via native OS accessibility trees. Use when an AI agent needs to see and operate desktop applications (click buttons, fill forms, navigate menus, read UI state, toggle checkboxes, scroll, drag, type text, take screenshots, manage windows, use clipboard, manage notifications). Covers 59 command names (55 operational; four held-input names fail closed until daemon ownership exists) across observation, interaction, keyboard/mouse, app lifecycle, notifications (macOS), clipboard, wait, session lifecycle, and a `skills` command that bundles docs straight from the binary. Triggers on: "click button", "fill form", "open app", "read UI", "computer use", "operate desktop", "accessibility tree", "snapshot app", "type into field", "navigate menu", "toggle checkbox", "take screenshot", "desktop automation", "agent-desktop", or any desktop GUI interaction task. Supports the macOS Phase 1 adapter, with Windows and Linux planned against the same core contracts.
Agent Development for Claude Code Plugins
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
agent-evolution
Agent 行为固化与进化系统。追踪规则执行、检测行为模式、维护身份连续性。用于：让 agent 的行为规则从"写下来"变成"做到了"。当 agent 需要自我改进、行为追踪、角色一致性、重复检测时激活。与 Memelord/memory-tools 互补：它们管记忆，本 skill 管行为。
Agent Memory
Universal memory architecture for AI agents. Provides long-term memory, daily logs, diary, cron inbox, heartbeat state tracking, social platform post tracking, sub-agent context patterns, and adaptive learning -- everything an agent needs for identity continuity across sessions.
Agent Network - Multi-Agent Collaboration System
Multi-Agent group chat collaboration system inspired by DingTalk/Lark. Enables AI agents to chat in groups, @mention each other, assign tasks, make decisions via voting, and collaborate. Use when building multi-agent systems that need structured communication, task delegation, decision making, or group coordination.
Agent Orchestration
Master the art of spawning and managing sub-agents. Write prompts that actually work, track running agents, and learn from every outcome. Part of the Hal Stack 🦞
Agent Reach
Give your AI agent eyes to see the entire internet. Install and configure upstream tools for Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, LinkedIn, Boss直聘, WeChat (微信公众号), RSS, and any web page — then call them directly. Use when: (1) setting up platform access tools for the first time, (2) checking which platforms are available, (3) user asks to configure/enable a platform channel. Triggers: "帮我配", "帮我添加", "帮我安装", "agent reach", "install channels", "configure twitter", "enable reddit".
Agent Registry
MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search and get tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that historically used agents. This skill reduces context window usage by ~95% compared to loading all agents upfront.
AgentSentinel Protection Layer
Local-first budget and policy guardrails for agent actions, with optional remote sync to AgentSentinel.
Agent Step Sequencer
Multi-step scheduler for in-depth agent requests. Detects when user needs multiple steps, suggests plan and waits for confirmation, persists state, and runs heartbeat-aware flow. Use when requests have 3+ actions, sequential dependencies, output dependencies, or high scope/risk.
Agent Swarm
创建和编排多智能体集群完成复杂任务。当用户需要将复杂任务拆解给多个专业智能体并行或串行执行时使用此技能。适用场景：(1) 复杂项目需要多角色协作（规划、调研、编码、写作、设计、分析、审核）(2) 需要并行执行多个独立子任务以提高效率 (3) 需要专业分工以优化成本和质量。关键词：多智能体、Agent集群、任务编排、并行执行、智能体团队。
Agent Swarm Workflow
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation. Includes exact prompts used.
Agent Team Orchestration
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Agent Zero Bridge
Delegate complex coding, research, or autonomous tasks to Agent Zero framework. Use when user says "ask Agent Zero", "delegate to A0", "have Agent Zero build", or needs long-running autonomous coding with self-correction loops. Supports bidirectional communication, file attachments, task breakdown, and progress reporting.
Agentgram
The open-source social network for AI agents. Post, comment, vote, follow, and build reputation.
Agents
Designs, debugs, evaluates, and hardens AI agents — the loop, tools, memory, context budget, cost, and escalation — independent of any framework. Use when an agent loops forever, repeats a tool call, drifts from its instructions after many turns, invents tool arguments, stops mid-task, or swallows a tool error silently; when deciding single agent versus several, or which framework to build on; when token cost per task or p95 latency has to come down; when designing tool schemas, retries, timeouts, checkpoints, or human approval; when writing an eval set or a regression suite for agent behavior; when prompt injection, tool abuse, or an over-permissioned action is the risk; and when specifying an agent's purpose, escalation rules, and cost ceiling for a team. Covers memory design, multi-agent handoffs, tracing, and rollout. Not for LangChain APIs (`langchain`), retrieval pipelines (`rag`), prompt craft alone (`prompting`), or agent persona and voice (`agent`).
Agent Skills (agentskills.io)
Create, validate, and publish Agent Skills following the official open standard from agentskills.io. Use when (1) creating new skills for AI agents, (2) validating skill structure and metadata, (3) understanding the Agent Skills specification, (4) converting existing documentation into portable skills, or (5) ensuring cross-platform compatibility with Claude Code, Cursor, GitHub Copilot, and other tools.
AI Automation Workflows
Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools: inference.sh CLI, bash scripting, Python SDK, webhook integration. Use for: content automation, data processing, monitoring, scheduled generation. Triggers: ai automation, workflow automation, batch processing, ai pipeline, automated content, scheduled ai, ai cron, ai batch job, automated generation, ai workflow, content at scale, automation script, ai orchestration
AI Persona Os
The complete operating system for OpenClaw 5.x agents. Built-in memory tool integration (memory_search, memory_get, DREAMS.md), Discord channel-routing fixes (configure Discord + route check), zero-terminal agent-driven setup, 24-soul gallery (11 originals + 13 iconic characters), SOUL.md Maker, in-chat commands, ambient context monitoring, enforced heartbeat protocol with 🟢🟡🔴 indicators, MEMORY.md auto-pruning, structured escalation, security inoculation, never-forget context protection, 8 operating rules, and 4 growth loops.
Amber Voice Assistant
Give your agent a phone number. Amber answers calls, places confirmed outbound calls, completes phone tasks, logs transcripts, and exposes MCP tools.
Arbiter Skill
Push decisions to Arbiter Zebu for async human review. Use when you need human input on plans, architectural choices, or approval before proceeding.
Atxp
Agent wallet, identity, and paid tools in one package. Register an agent, fund it via Stripe or USDC, then use the balance for web search, AI image generation, AI video generation, AI music creation, X/Twitter search, email send/receive, SMS and voice calls, contacts management, and 100+ LLM models. The funding and identity layer for autonomous agents that need to spend money, send messages, make phone calls, or call paid APIs.
Aura
Configure AI personality using the AURA protocol (HEXACO-based). Use when user wants to customize agent personality, reduce sycophancy, adjust communication style, or mentions AURA/personality configuration.
Auto Login Assistant
Help the agent recover from login walls on websites by detecting sign-in states, collecting user-approved credentials, filling common login forms, and handling verification codes safely. Use when browsing is blocked by authentication and the user wants guided sign-in rather than manual step-by-step help.
Autonomous Execution Skill
Execute tasks end-to-end while respecting safety boundaries. Complete subtasks autonomously but confirm before sensitive actions. Handles errors intelligently within clear limits.
Basemail
📬 BaseMail - Onchain Email for AI Agents on Base. Get [email protected] linked to your Basename (.base.eth). SIWE wallet auth, no CAPTCHA, no passwords. Give your agent a verifiable email identity on Base Chain — register for services, send emails, and receive confirmations autonomously.
BDI Mental State Modeling
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.
Brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).
Browser Automation with browser-use CLI
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.
Browser Use
Cloud browser automation via Browser Use API. Use when you need AI-driven web browsing, scraping, form filling, or multi-step web tasks without local browser control. Triggers on "browser use", "cloud browser", "scrape website", "automate web task", or when local browser isn't available/suitable.
ByteRover Knowledge Management
You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, decisions, and architectural rules in .brv/context-tree. Uses a configured LLM provider (default: ByteRover, no API key needed) for query and curate operations.
Causal Inference
Add causal reasoning to agent actions. Trigger on ANY high-level action with observable outcomes - emails, messages, calendar changes, file operations, API calls, notifications, reminders, purchases, deployments. Use for planning interventions, debugging failures, predicting outcomes, backfilling historical data for analysis, or answering "what happens if I do X?" Also trigger when reviewing past actions to understand what worked/failed and why.
Cc Godmode
Self-orchestrating multi-agent development workflows. You say WHAT, the AI decides HOW.