Datasets:
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
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 · All Gingiris skills · Author blog
🚀 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
📦 Install
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 — battle-tested operational playbooks for AI startups. Author: Iris (生姜iris), ex-AFFiNE COO, Forbes Asia 30 Under 30.