What is the 'fail-fast' approach in this skill?

The fail-fast approach means the skill stops execution as soon as a quality issue is detected (like a linting error or regression) and automatically creates a targeted fix task in your backlog.

How does Pass 1 differ from Pass 2?

Pass 1 focuses on implementation quality, regression, and manual testing. Pass 2 occurs after testing tasks are done to verify coverage limits, priority scenarios, and documentation before marking the story as complete.

Does this skill run tests and linters directly?

No, it acts as a master orchestrator that invokes specialized worker skills like ln-501 and ln-502 to ensure standardized execution of quality tools.

Can this skill update my project management tools?

Yes, it is designed to interact with Linear metadata to track task status, create new sub-tasks for fixes, and update the Story status to 'Done' upon successful verification.

Story Quality Gate

Name: Story Quality Gate
Author: levnikolaevich

bylevnikolaevich

•

セキュリティとテスト

Orchestrates comprehensive multi-pass quality checks for software stories to ensure production-ready code delivery.

The Story Quality Gate is a sophisticated orchestrator designed to maintain high standards throughout the software delivery lifecycle. It employs a two-pass system: the first pass performs 'fail-fast' checks including code quality analysis, linting, and regression testing, while the second pass verifies test coverage, business logic priorities, and documentation before finalizing a story. By delegating specialized tasks to worker skills and integrating directly with project management metadata, it automates the rigorous verification process required for high-stakes production environments.

主な機能

01Business logic and test coverage verification (E2E, Integration, Unit)

0238 GitHub stars

03Two-pass 'fail-fast' quality orchestration for software stories

04Integration with code quality, regression, and test planning workers

05Automated task creation for refactoring, linting, and bug fixes

06Automatic discovery of team configurations and story metadata

ユースケース

01Standardizing quality benchmarks across a distributed engineering team

02Ensuring regression and linting checks are never bypassed during implementation

03Automating the final review process before closing a development story

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add levnikolaevich/claude-code-skills ln-500-story-quality-gate

For use in Claude.ai and ChatGPT

Download Skill