| --- |
| license: mit |
| language: |
| - en |
| - zh |
| - ja |
| - ko |
| pretty_name: Agent Workflow Playbook |
| tags: |
| - agent-design |
| - agent-framework |
| - agentic-ai |
| - ai-agent |
| - automation |
| - clawhub |
| - developer-tools |
| - distribution |
| - marketplace |
| - multi-agent |
| - orchestration |
| - plugin |
| - plugin-marketing |
| - skill-architecture |
| - workflow |
| size_categories: |
| - n<1K |
| task_categories: |
| - text-generation |
| --- |
| |
| # Agent Workflow Playbook |
|
|
| > AI Agent Workflow & Skill Architecture Guide — Design patterns for building autonomous AI agent systems, plugin marketplaces, and multi-agent orchestration.... |
|
|
| ## 📦 Install on ClawHub |
|
|
| ```bash |
| clawhub install agent-workflow-playbook |
| ``` |
|
|
| Then ask your AI agent: |
|
|
| > "Design an autonomous AI agent workflow for our customer support" |
|
|
| Installs the full **Agent Workflow Playbook** playbook — battle-tested with 30+ Product Hunt #1 wins, AFFiNE 60K+ GitHub stars, and 150+ AI startup consultations. |
|
|
| 🔗 [View on ClawHub](https://clawhub.ai/gingiris/agent-workflow-playbook) · [All Gingiris skills](https://clawhub.ai/user/gingiris) · [Author blog](https://gingiris.tools) |
|
|
| ## 🚀 30-Second Preview |
|
|
| ``` |
| You: Design an autonomous AI agent workflow for our customer support |
| Agent (with agent-workflow-playbook): |
| Stage 1: intent classification (ticket → category, confidence threshold ≥0.85) |
| Stage 2: knowledge retrieval (semantic search over docs + past tickets) |
| Stage 3: response draft (humans review for high-stakes categories) |
| Stage 4: feedback loop (every escalation re-trains the classifier weekly) |
| ``` |
|
|
| Concrete framework, real case studies, decision rules — not generic advice. |
|
|
| --- |
|
|
| ## 📚 Full Playbook |
|
|
| --- |
| name: agent-workflow-playbook |
| description: | |
| AI Agent Workflow & Skill Architecture Guide — Design patterns for building autonomous AI agent systems, plugin marketplaces, and multi-agent orchestration. Battle-tested framework from shipping 200+ skills on ClawHub. By @WeiYipei. |
| --- |
|
|
| # AI Agent Workflow Playbook — Skill Architecture & Plugin Marketing |
|
|
| > 🌍 **Language / 语言**: [中文](#中文版) | [English](references/en/README.md) | [日本語](references/ja/README.md) | [한국어](references/ko/README.md) |
|
|
| ## 📦 Install |
|
|
| ```bash |
| clawhub install agent-workflow-playbook |
| ``` |
|
|
| **What you get after installing:** |
| - End-to-end AI agent workflow design patterns |
| - Multi-agent orchestration frameworks (sequential, parallel, hierarchical) |
| - Production deployment checklist for agent systems |
|
|
| --- |
|
|
| Complete guide for designing AI agent automation systems. Covers skill/plugin architecture, multi-agent coordination patterns, marketplace distribution strategies, and workflow orchestration best practices. |
|
|
| ## What You'll Learn |
| - Skill architecture patterns (single-purpose vs. orchestrator agents) |
| - Plugin marketplace SEO and distribution |
| - Multi-agent workflow design (sequential, parallel, hierarchical) |
| - Agent-to-agent communication protocols |
| - Monetization strategies for AI agent skills |
|
|
| ## Who This Is For |
| - AI developers building agent systems |
| - Teams publishing skills/plugins to marketplaces |
| - Product managers designing agent-native products |
|
|
| Built by Gingiris — shipped 200+ skills, 10k+ installs across ClawHub. |
|
|
|
|
| --- |
|
|
| *Part of the [Gingiris growth skills suite](https://clawhub.ai/user/gingiris) — battle-tested operational playbooks for AI startups. Author: Iris (生姜iris), ex-AFFiNE COO, Forbes Asia 30 Under 30.* |
|
|
