What triggers a sprint implementation?

The skill is invoked by user commands such as 'sprint', 'implement the plan', or 'run the implementation'.

How does it handle complex projects?

It analyzes task dependencies to separate work into sequential foundational steps and parallel implementation tasks handled by multiple AI sub-agents.

Does it ensure code quality?

Yes, it includes mandatory compliance gates for Domain-Driven Design (DDD), Test-Driven Development (TDD), and passes all code through type-checks, linters, and coverage tests.

What does the Sprint Implementation skill do?

It automates the entire development process from a plan (like a GitHub Issue) to the final commit, including task parsing, parallel coding, and testing.

Can I use it with my existing GitHub workflow?

Absolutely. It can read GitHub Issue URLs for plans, create sub-issues for tracking, and even trigger automated shipping or pull requests.

Sprint Implementation

Name: Sprint Implementation
Author: signalcompose

bysignalcompose

•

Productivity & Workflow

Executes end-to-end development sprints by automating planning, issue tracking, parallel implementation, and rigorous quality verification.

The sprint-impl skill automates the entire lifecycle of a software implementation phase, transforming a high-level plan or GitHub issue into a verified and committed codebase. It coordinates parallel sub-agents for concurrent task execution, enforces Domain-Driven Design (DDD) and Test-Driven Development (TDD) principles through strict compliance gates, and performs exhaustive integration testing. This skill is designed for developers who want to accelerate feature delivery while maintaining high standards for documentation, testing, and architectural consistency without constant manual intervention.

Key Features

01Strict enforcement of DDD specifications and TDD development patterns

023 GitHub stars

03Seamless GitHub integration for automated issue tracking and sub-task creation

04Comprehensive verification suite including type-checking, linting, and code coverage

05Automated multi-phase sprint execution from plan to pull request

06Parallel task implementation using coordinated AI team agents

Use Cases

01Rapidly scaffolding project foundations and shared modules using parallel execution

02Implementing complex feature roadmaps defined in GitHub Issues or local markdown plans

03Automating repetitive development cycles while ensuring strict adherence to project-specific rules

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add signalcompose/claude-tools sprint-impl

For use in Claude.ai and ChatGPT

Download Skill