ai-project-playbook
Autonomous AI PM Agent for building scalable applications from scratch. Use when users want to: (1) Start new projects - "create an app for X", "build a SaaS for Y", (2) Plan features or architecture - "help me plan this feature", "design the system", (3) Implement with PIV Loop methodology - systematic Plan→Implement→Validate workflow, (4) Deploy from MVP to Enterprise scale - deployment configs for any growth phase, (5) Migrate Lovable/v0 prototypes to production - professional codebase conversion, (6) Create multi-agent systems - orchestrate multiple specialized agents. The agent guides through Discovery → Planning → Roadmap → Implementation → Deployment phases with configurable autonomy (supervised, autonomous, or plan-only modes).
Install
npx skillscat add ginagori/ai-project-playbook Install via the SkillsCat registry.
AI Project Playbook Agent
An autonomous PM agent that takes your project from idea to deployment.
What This Agent Does
I am an AI Project Manager that can guide you through the entire software development lifecycle:
- Discovery: Ask questions to understand your project requirements
- Planning: Generate CLAUDE.md (global rules) and PRD automatically
- Roadmap: Break down into features and create implementation plans
- Implementation: Execute PIV Loop for each feature (using Claude Code)
- Deployment: Generate deployment configs based on your scale phase
How to Use
Simply describe what you want to build:
"Create a SaaS for veterinary clinics with appointments, medical records, and billing"I will guide you through the entire process, asking questions when needed.
Autonomy Modes
- Supervised (default): I propose actions and ask for confirmation before executing
- Autonomous: I execute without asking (activate with "modo autónomo")
- Plan-only: I only generate plans without executing (activate with "solo planea")
Available Tools
| Tool | Description |
|---|---|
playbook_start_project |
Start a new project with an objective |
playbook_continue |
Continue from where we left off |
playbook_answer |
Answer agent's question and continue |
playbook_search |
Search RAG in the playbook guides |
playbook_get_status |
Get current project status |
playbook_create_agent |
Create a new specialized agent |
playbook_list_agents |
List agents in the registry |
playbook_create_workflow |
Create multi-agent workflow |
Project Types Supported
- SaaS Applications: Multi-tenant web apps with authentication, billing, etc.
- API Backends: RESTful or GraphQL APIs with proper architecture
- Agent Systems: Single AI agents with tools and memory
- Multi-Agent Systems: Orchestrated agent workflows (Supervisor, Parallel, Sequential patterns)
Scale Phases
| Phase | Users | Monthly Cost | Stack |
|---|---|---|---|
| MVP | <100 | $300-500 | Netlify + Railway |
| Growth | 100-10K | $1,500-3K | Netlify + Cloud Run |
| Scale | 10K-100K | $8K-15K | Netlify + GKE |
| Enterprise | 100K-1M+ | $50K-150K | Multi-cloud |
Multi-Agent Patterns
When building agent systems, I can create workflows using these patterns:
- Agent-as-Tool: Agent A invokes Agent B as a tool
- Agent Handoff: Agent A passes complete control to Agent B
- Supervisor: Dynamic orchestration with shared state
- Parallel: Fan-out/fan-in for concurrent execution
- Sequential: Pipeline where output flows to next agent
- LLM Routing: Cost-optimized routing to specialized agents
References
- Quick Navigation - Fast access to playbook sections
- Agent Capabilities - Full list of what the agent can do
- Playbook Content - Complete methodology documentation
Categories
Install
npx skillscat add ginagori/ai-project-playbook Install via the SkillsCat registry.