Which AI models does this skill use for reviews?

The skill is optimized to use the Claude Haiku model for fast, efficient feedback, but it can utilize the Sonnet model for more comprehensive and precise audits when required.

What documentation does the skill generate?

It creates a structured landing directory for every issue, organizing agent reports into specific 'round' folders to maintain a clear history of the review and improvement process.

What are the success criteria for a 'landing'?

To successfully land a mission, you must achieve an A+ grade from all three review agents, pass all local check scripts, and ensure all identifies issues are resolved.

What is the 'Go Poll' in the Final Approach skill?

The Go Poll is a multi-agent review process where three specialized AI agents—Mission Control, Telemetry, and Flight Director—evaluate your code for plan compliance, test coverage, and architectural quality.

How does the A+ skip rule improve efficiency?

If an agent awards an A+ grade in a review round, that specific agent is skipped in the next round. This allows you to focus exclusively on fixing issues identified by other agents without redundant re-reviews.

Final Approach Code Review

Name: Final Approach Code Review
Author: ds1sqe

byds1sqe

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Productividad y Flujo de Trabajo

Automates the end-of-mission landing sequence through multi-agent quality audits and standardized review workflows.

Final Approach is a specialized workflow skill designed to formalize the transition from development to production-ready code. It orchestrates a structured landing sequence that includes upstream synchronization, automated script checks, and a comprehensive 'Go Poll' involving three specialized AI agents: Mission Control (plan compliance), Telemetry (test coverage), and Flight Director (code quality). By enforcing an iterative grading system and an efficient 'A+ skip rule,' it ensures that every contribution meets high standards of Unix philosophy and test integrity before final merge, making it an essential tool for high-stakes software engineering.

Características Principales

018 GitHub stars

02Automated round-based documentation generation for audit trails

03Multi-agent 'Go Poll' reviews using Mission Control, Telemetry, and Flight Director personas

04Efficient A+ Skip Rule to bypass previously approved agents during re-reviews

05Iterative A+ through F grading scale for precise code quality assessment

06Pre-merge synchronization and script verification workflow

Casos de Uso

01Auditing Rust-based projects for test coverage and adherence to Unix philosophy

02Standardizing the 'Ready for Merge' criteria across distributed development teams

03Finalizing complex pull requests to ensure compliance with documentation and project plans

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ds1sqe/reovim final-approach

For use in Claude.ai and ChatGPT

Download Skill