serve

Delegate implementation to a worker model and validate via a reviewer model with strict budget controls.

68|10|Updated Jul 2, 2026
One-click install
npx skills add https://github.com/tomascupr/sous-chef --skill serve-tomascupr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: serve
Source: https://github.com/tomascupr/sous-chef/tree/main/skills/serve
Command: npx skills add https://github.com/tomascupr/sous-chef --skill serve-tomascupr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the inefficiency of manual coding workflows by orchestrating a multi-model pipeline that handles implementation, cross-model review, and verification without constant user intervention.

Core Features & Use Cases

  • Autonomous Pipeline: Automates the full cycle of task implementation, cross-review, and fix verification.
  • Cross-Model Validation: Uses a secondary model to review and validate the primary model's output, ensuring higher code quality.
  • Use Case: When you need a specific feature implemented and verified, this skill manages the entire process from the initial ticket to the final verified report, allowing you to focus on high-level design rather than manual testing.

Quick Start

Invoke the serve skill to autonomously implement and verify the requested task by running the serve command in your terminal.

Frequently Asked Questions about serve

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

FAQPage Schema
How do I automate code review and task implementation in a single workflow?

Automating code review and task implementation is achieved by an autonomous pipeline that delegates coding to a worker model and validation to a reviewer model. This workflow executes task implementation, cross-review, and fix verification without constant user intervention.

What is cross-model validation for autonomous software development?

Cross-model validation is a quality assurance mechanism where a secondary reviewer model evaluates the primary worker model's code output. It ensures higher code quality by performing diff analysis and requiring verified test results before final delivery.

How to orchestrate an autonomous coding pipeline with strict budget controls?

Orchestrating an autonomous coding pipeline involves managing task-shaped work through multi-stage fire, taste, and refire cycles. The pipeline enforces strict budget controls while automating the full cycle of task implementation, cross-review, and fix verification.

Does autonomous task execution work without manual testing and user intervention?

Autonomous task execution works without manual testing by managing the entire process from initial ticket to final verified report. It handles implementation, cross-model review, and verification, allowing you to focus on high-level design rather than manual testing.

When do I need a multi-stage refire cycle for code generation?

A multi-stage refire cycle is needed when autonomous code generation requires iterative corrections. The pipeline uses fire, taste, and refire stages to handle task implementation, evaluate output, and apply fixes until cross-model diff analysis and test verification pass.

Can I use serve to manage the full cycle from task ticket to verified report?

Serve manages the full cycle from an initial task ticket to a final verified report. It orchestrates a multi-model software development pipeline that autonomously handles implementation, cross-review, and fix verification.