What model is this skill optimized for?

This skill is specifically tuned for the Claude Sonnet model to provide a balance of high-speed implementation and sophisticated reasoning.

What is the primary role of this skill?

This skill acts as the 'coder' in a multi-AI system, taking a pre-approved plan and turning it into functional, tested code while adhering to specific project standards.

How does it handle previous review feedback?

It automatically checks for existing review files like review-sonnet.json or review-codex.json to ensure all previous concerns are addressed during implementation.

Does it require a specific folder structure?

Yes, it operates within a .task/ directory structure where it reads plans and writes implementation results to maintain a clean audit trail.

How does it verify that the implementation works?

The skill includes a verification step where it is required to run tests and linters, and it must create new tests for any added functionality.

Sonnet Implementation Engine

Name: Sonnet Implementation Engine
Author: cskwork

bycskwork

0•

Productivity & Workflow

Executes structured implementation plans using the Claude Sonnet model to generate clean, tested code within a multi-AI agent pipeline.

The Sonnet Implementation Engine is a specialized skill designed for Claude Code that functions as the 'coder' within a multi-agent AI development workflow. It bridges the gap between planning and deployment by consuming refined technical plans and previous review feedback to produce production-grade code. By adhering to strict project standards and requiring comprehensive unit testing for all new functionality, this skill ensures that implementations are minimal, focused, and verified. It provides a structured output of all changes, making it an essential component for teams utilizing automated AI pipelines for software development.

Key Features

01Plan-driven code implementation from structured JSON tasks

02Support for multi-agent feedback loops and iterative reviews

03Integrated unit test generation for all new functionality

04Structured implementation reporting for audit trails

050 GitHub stars

06Automated adherence to project-specific coding standards

Use Cases

01Automating the transition from technical design to code implementation

02Integrating AI-driven coding into a multi-step CI/CD or agentic workflow

03Enforcing consistent coding patterns across a distributed codebase

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cskwork/llm-review implement-sonnet

For use in Claude.ai and ChatGPT

Download Skill