wfc-build

Automate code implementation through TDD with multi-agent consensus review.

Updated Aug 23, 2026

Search Tags:#automation #tdd #developer tools #code review #code generation #ai development

Ready to run

npx skills add https://github.com/sam-fakhreddine/wfc --skill wfc-build

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: wfc-build
Source: https://github.com/sam-fakhreddine/wfc/tree/main/wfc/skills/wfc-build
Command: npx skills add https://github.com/sam-fakhreddine/wfc --skill wfc-build

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the development process by enabling rapid iteration on code changes while maintaining robust quality guardrails, preventing the trade-off between speed and production-readiness.

Core Features & Use Cases

Rapid Feature Implementation: Quickly build new features or fix bugs with minimal upfront planning.
Automated Quality Assurance: Enforces TDD, code formatting, linting, and multi-agent consensus reviews.
Intelligent Agent Delegation: Orchestrates one or multiple AI agents based on task complexity, ensuring efficient resource allocation.
Use Case: You need to add a new API endpoint to an existing FastAPI application. Instead of manually writing tests, code, and then seeking reviews, you can use /wfc-build "add new /users endpoint with GET and POST" and WFC will handle the entire process from TDD to merge.

Quick Start

Use the wfc-build skill to add a progressive doc loader.

Frequently Asked Questions about wfc-build

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

FAQPage Schema

How do I automate code generation while enforcing strict TDD quality checks?▼

Automated code generation with strict TDD quality checks is achieved by orchestrating AI sub-agents through a Test-First, Implement, and Refactor workflow, concluding with automated linting and multi-agent consensus review before merging.

What is the best way to add a new API endpoint rapidly without sacrificing production-readiness?▼

Rapid API endpoint implementation without sacrificing production-readiness is handled by an adaptive interview that assesses task complexity, delegates the work to AI agents for TDD processing, and enforces automated quality guardrails prior to merge.

Can I use multi-agent consensus review for my automated code review process?▼

Multi-agent consensus review can be integrated into your automated code review process to evaluate the output of delegated sub-agents, ensuring that rapid iteration meets robust quality standards before final code integration.

How does complexity assessment work when delegating AI development tasks?▼

Complexity assessment for AI development delegation works by conducting a quick adaptive interview to evaluate the requested code changes, determining whether to assign the task to one or multiple sub-agents for efficient resource allocation.

Does automated TDD implementation work for fixing bugs in existing applications?▼

Automated TDD implementation works for fixing bugs in existing applications by balancing rapid iteration with quality infrastructure, routing the fix through automated test generation, code implementation, and refactoring phases before consensus review.

When should I avoid using rapid iteration for code changes?▼

Rapid iteration for code changes should be avoided when a task requires manual upfront planning outside the scope of automated TDD workflows, or when strict automated quality guardrails and multi-agent consensus reviews are not permitted in the deployment pipeline.