implement

Implement tasks from PRDs or issues with TDD and typechecking.

Updated Jul 2, 2026
One-click install
npx skills add https://github.com/nseluga/os --skill implement-nseluga
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implement
Source: https://github.com/nseluga/os/tree/main/skills/implement
Command: npx skills add https://github.com/nseluga/os --skill implement-nseluga

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The problem this Skill solves is the challenge of turning high-level product requirements or issues into executable work.

Core Features & Use Cases

  • Task Implementation: Automates the process of understanding and implementing tasks described in PRDs (Product Requirement Documents) or issues.
  • TDD and Typechecking: Promotes Test-Driven Development and regular typechecking for robust code.
  • Review Integration: Facilitates the review process of the implemented work through an integrated review command.
  • Commit Workflow: Automates the commit process for the current branch to ensure code is always in a ready state.

Quick Start

Implement a new feature based on the provided PRD using the '/implement' command, then follow up with '/review' to submit your work.

Frequently Asked Questions about implement

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

FAQPage Schema
How do I automate task implementation from a PRD or issue?

Task implementation from a PRD or issue is automated by executing the provided requirements, integrating Test-Driven Development, typechecking, and a review process to generate production-ready code.

Does test-driven development work with automated PRD implementation?

Test-driven development is integrated directly into automated PRD implementation, ensuring that typechecking and tests are run during execution to produce robust, validated code before review.

Do I need Python to run typechecking for task implementation?

Yes, you need a Python environment to run typechecking and potential automated testing, as the task implementation process relies on executing Python scripts to validate your code.

What is the best way to streamline code review after implementing a feature?

Streamlining code review after feature implementation is best handled by using an integrated review command, which submits the completed work directly into the review process.

How does automated commit workflow handle branch state during task implementation?

Automated commit workflow handles branch state by committing the current implementation progress, ensuring that your code branch is always kept in a review-ready state.