wannabuild

Orchestrate repo-native product development through Discover, Plan, Implement, Review, QA, and Summary stages.

2|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/gl11tchy/wannabuild --skill wannabuild
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wannabuild
Source: https://github.com/gl11tchy/wannabuild/tree/main/skills/wannabuild
Command: npx skills add https://github.com/gl11tchy/wannabuild --skill wannabuild

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

WannaBuild provides a structured, repo-native workflow that coordinates AI agents through the full product-development cycle, dramatically reducing misalignment and manual overhead.

Core Features & Use Cases

  • End-to-end orchestration: Discover, control mode, optional research, plan, implement, review, QA, and summary in a single guided flow.
  • Isolation and safety: Runs in isolated workspaces per run to prevent cross-task interference and ensures traceability of decisions.
  • Guardrails and contracts: Enforces stage gating, role-based prompts, and outputs contracts to maintain quality and auditability.

Quick Start

Start a new WannaBuild run by launching the workflow in your project; the system will bootstrap an isolated workspace and guide you through the stages.

Frequently Asked Questions about wannabuild

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is an AI-driven product development workflow for end-to-end orchestration?

An AI-driven product development workflow orchestrates agents through Discover, Plan, Implement, Review, and QA stages. It coordinates the full product cycle within a repo-native structure to reduce manual overhead and prevent misalignment across tasks.

How do I start an end-to-end AI workflow for software product development?

Start an end-to-end AI workflow by launching the system directly in your software project. It automatically bootstraps an isolated workspace and guides you sequentially through discovery, planning, implementation, and review stages.

Does isolated workspace orchestration prevent cross-task interference during product implementation?

Yes, isolated workspace orchestration prevents cross-task interference by running each workflow in a separate environment. This ensures traceability of decisions and maintains safety throughout the implementation and review stages.

How do stage gating and output contracts maintain quality during AI product development?

Stage gating and output contracts maintain quality by enforcing role-based prompts and structured outputs at every workflow stage. This approach ensures auditability and prevents progression until specific product development criteria are met.

Can I run optional research stages within a structured AI product workflow?

Yes, you can run optional research stages within a structured AI product workflow. The orchestration flow includes an optional research phase between control mode and planning to gather context before implementation begins.

What is the best way to ensure traceability of decisions in AI-orchestrated software projects?

The best way to ensure traceability in AI-orchestrated software projects is using a repo-native workflow with isolated workspaces and structured outputs. This combination enforces stage gating and records decisions throughout the product cycle.