implementing-python-feature

Orchestrate Python feature implementation by sequencing story workflows from specs to code review.

1|Updated Jan 6, 2026

Search Tags:#automation #python #code-review #tests #orchestrate #feature-development #story-workflow

Ready to run

npx skills add https://github.com/simonheimlicher/spx-claude --skill implementing-python-feature

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: implementing-python-feature
Source: https://github.com/simonheimlicher/spx-claude/tree/main/plugins/python/skills/implementing-python-feature
Command: npx skills add https://github.com/simonheimlicher/spx-claude --skill implementing-python-feature

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates Python feature implementation by invoking skills in sequence for each story, enabling teams to automate the lifecycle from specs to implementation.

Core Features & Use Cases

Story-based orchestration: coordinates a multi-step workflow across understanding specs, testing, reviewing, coding, and reviewer feedback for Python features.
Automated QA loop: ensures tests are written, reviewed, and implemented with continuous validation.
Use Case: given a feature consisting of multiple stories, run the sequence: load specs, write tests, review tests, implement, review code, and proceed to the next story.

Quick Start

Provide the feature path to begin. The skill will then drive the following workflow for each story:

Load spec with /understanding-specs
Write tests with /testing-python
Review tests with /reviewing-python-tests
Implement with /coding-python
Review implementation with /reviewing-python
Proceed to the next story

Frequently Asked Questions about implementing-python-feature

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

FAQPage Schema

How do I automate Python feature development from specs to code review?▼

You can automate Python feature development by orchestrating a sequence of skills for each story, driving the workflow from loading specifications to writing tests, implementing code, and completing code reviews.

What is the workflow for story-based Python feature implementation?▼

The story-based workflow sequences through loading specs, generating failing tests, reviewing tests, implementing code, and performing code reviews before proceeding to the next story.

Can I use this to orchestrate tests and code reviews for multiple Python stories?▼

Yes, this orchestrates tests and code reviews for multiple Python stories by iterating through a defined workflow that loads specs, writes tests, implements code, and reviews code for each story sequentially.

What's the best way to coordinate an automated QA loop for Python features?▼

The best way to coordinate an automated QA loop is to sequence skills that generate failing tests, review them, implement the code, and validate continuously until the feature is complete.

Do I need to provide a feature path to start orchestrating Python feature delivery?▼

Yes, you need to provide the feature path to begin. The skill then uses this path to load story context and drive the implementation workflow for each story.