Agent Workflow Claude Skills
4 122 agent workflow skills from 665 authors. They configure the agents themselves: memory, prompts, context and other skills. Half of them fit into 1 844 tokens or less — that is what one costs your context window when the agent loads it. 778 ship runnable scripts rather than instructions alone. 5 of them cannot work without an MCP server, most often task. We also found 589 copies of these same skills sitting in other people's repositories — counted once here, not 589 times.
4 122 unique 665 authors 4 updated this month 506 from vendors
Save, recall, list, and archive concise project decisions and handoffs in an explicit local Codex memory store without hooks or background capture. Use only when the user asks to remember, save context, resume prior work, record a durable decision, create a handoff, list stored project memory, or forget/archive a saved memory.
Build agent from spec: code, skill, config, launchd
AI agent contacts — add, list, remove MCP contacts. Use when someone gives an agent URL, or when you need to view/remove contacts.
批量查看和切换子 agent 的模型配置，用于统一调整多 agent 的 provider/model 设置。
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.
Format SPAWN REQUEST messages to launch parallel agents, generate structured agent status reports, and define communication protocols within the sprint system. Use when the user needs to coordinate multiple agents, format spawn requests, produce agent reports, or establish inter-agent communication patterns.
Find and compare Daniel's reviewed GitHub skill sources. Use for high-star skill discovery, link checks, or safe installation, update, and removal of one selected skill.
Use when confirming whether a dispatched agent task was actually received, activated, and progressing after sessions_send or other task handoff actions.
Test agent: dry-run, unit, integration, compatibility
Create or audit an Agent Markdown suite. Use when defining AGENTS.md, identity, behavior, tools, reusable Skills, instruction precedence, safety boundaries, or loading rules.
Indestructible agent memory — permanently stored, never lost. Save decisions, identity, and context as a memory chain on the Autonomys Network. Rebuild your full history from a single CID, even after total state loss.
Meta-agent that routes bioinformatics requests to specialised sub-skills. Handles file type detection, analysis planning, report generation, and reproducibility export.
Especialista profundo em Claude Code - CLI da Anthropic. Maximiza produtividade com atalhos, hooks, MCPs, configuracoes avancadas, workflows, CLAUDE.md, memoria, sub-agentes, permissoes e integracao com ecossistemas.
Execute programming tasks via Claude Code using PTY-based invocation. Handles non-TTY environments, auto-responds to prompts, and manages file synchronization.
如何用 ACP sessions_spawn 调用 Claude Code / Codex 写代码 — 小code 团队编码任务指南
Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), or any work in ~/clawd workspace (never spawn agents here). Requires a bash tool that supports pty:true.
Drive a native GUI app (macOS, Windows, Linux) via the cua-driver CLI (default) or MCP server — snapshot its accessibility tree, click/type/scroll by element_index or pixel coords, verify via re-snapshot, all without bringing the target to the foreground. Use when the user asks you to operate, drive, automate, or perform a GUI task in a real application on the host.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Curated hub of the highest-value GitHub skills/repos for Claude Code, Cursor, Codex, Gemini CLI, and OpenClaw. Links to 20+ elite repos organized by tier. Use when discovering, evaluating, or installing skills from the open-source ecosystem.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Claude Code 环境一键同步工具。从 GitHub 仓库同步所有配置到本地：output-styles 风格、CLAUDE.md 全局提示词、MCP 服务器配置、Agent 配置、Plugin 配置。适用于多设备统一环境、换电脑恢复、团队共享配置等场景。当用户需要从 GitHub 仓库同步 Claude Code/OpenClaw 环境配置时使用此 skill。
> down through departments, services and employees via sessions_send / sessions_spawn, collects and merges results, enforces handoff contracts, and writes the final deliverable back to the originating session.
Automated GEO (Generative Engine Optimization) agent for boosting brand visibility in AI search engines. Manages keywords, researches real competitors, generates comparison articles with target brand prominence, auto-publishes to Chinese content platforms (Zhihu/Baijiahao/Sohu/Toutiao), monitors AI search engine indexing, and reports results. Use when: user wants GEO automation, AI search optimization, multi-platform article publishing, or brand visibility in AI answers.
Agent Workforce Orchestration: Hybrid Human+AI Teams. Build agent-led workforce orchestration: capability matching, escrow-based payments for AI agents and human gig workers, unified reputation scoring, SLA enforcement, dispute resolution, and compliance reporting. Includes detailed Python code examples for every pattern.
Audit OpenClaw token usage, purge stale sessions, and optimize inference speed. Use when the user sends /optimize, /audit, asks to purge sessions, or wants a token/workspace audit.
Connect to an AI agent via MCP using their mcp_url from CRM. Discovers capabilities via agent.json, registers MCP server, and enables tool-based communication.
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.
Meta-cognitive framing for analyze-before-doing, ownership routing, risk gating, minimum-closure planning, and retrospective extraction in multi-agent work. Use when the user says 先分析再做 / 先别动手 / 先判断 / 先定方案, when work spans multiple agents or needs dispatch/orchestration, when CEO-style delegation or group command requires owner+deadline+closure, when abnormal sessions/cron/jobs/runs need real follow-through instead of status-only reporting, or when a task needs strategy, PRD, first-principles thinking, verification, and postmortem/retro.
Model and validate executable business processes. Use for workflow maps, state machines, orchestration, identity gates, dry-run rules, side effects, failures, or handoffs.
Track OpenClaw AI token usage and cost per model on Linux by parsing session JSONL files. Use when asked about: token usage, API cost, how much has been spent, which model was used most, usage summary, billing, cost breakdown. Linux replacement for the macOS-only model-usage/CodexBar skill.
多 Agent 架构设计与智能 Spawn 系统。当需要设计多 Agent 系统、配置专业化 Agent、实现智能任务分发、或优化并发处理能力时使用此技能。
Boss直聘全流程AI自动化招聘智能体。自动登录、筛选候选人、个性化打招呼、智能聊天跟进、简历解析、飞书同步。触发词：启动招聘、自动打招呼、boss greet、openhr、简历解析、上传飞书。
按 Team→C-suite→Skills/直属 Subagents→Governor→CEO→人工批准契约编排 AGI Super Team。适用于用户要求跨职能团队、专家委派、独立复核，或需在 Claude Code、Codex、OpenClaw、Hermes 中选择真实执行方式；单领域一步任务不要启用。
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version focused on core proactive capabilities.
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.
Guide product managers through strategic roadmap planning by orchestrating prioritization, epic definition, stakeholder alignment, and release sequencing skills into a structured process. Use this to
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use before starting work and after responding to the user.
Search and analyze your own session logs (older/parent conversations) using jq.
训练垂直领域 agent 的教练型 skill，用于按宪章、手册和复盘机制持续提升 agent 能力。
Amazon Ads API v3 skill for OpenClaw agents. List profiles, manage Sponsored Products campaigns, view budgets and performance. Works with any advertiser account.
扫描本地所有 skills，检测需要配置的 API keys、tokens、secrets 等，生成配置需求清单和操作指南。
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.
Skill 查找器 | Skill Finder. 帮助发现和安装 ClawHub Skills | Discover and install ClawHub Skills. 回答'有什么技能可以X'、'找一个技能' | Answers 'what skill can X', 'find a skill'. 触发词：找 skill、find skill、搜索 skill.
Optimize agent skills for discoverability on ClawdHub/MoltHub. Use when improving search ranking, writing descriptions for semantic search, understanding how the registry indexes skills, testing search visibility, or analyzing why a skill isn't being found.
Scan and audit AI agent skills for security risks before installation. Produces a Security audit and vulnerability scanner for AI agent skills before installation. directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. "check skill before install", "skill security check", "skill vulnerability scan".
Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution lens, and multi-agent synthesis panel. Phase 0 triage ensures you never duplicate existing functionality.
Search skills.sh registry from CLI. Find and discover agent skills from the skills.sh ecosystem.