Pantheon Story Pipeline

Orchestrate a 9-phase multi-agent pipeline for implementing user stories.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/jschulte/pantheon --skill pantheon-story-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Pantheon Story Pipeline
Source: https://github.com/jschulte/pantheon/tree/main/src/skills/pantheon-pipeline
Command: npx skills add https://github.com/jschulte/pantheon --skill pantheon-story-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the tedious and time-consuming process of orchestrating AI agents through a structured, multi-phase pipeline for implementing user stories, ensuring quality and consistency.

Core Features & Use Cases

  • Automated 9-Phase Pipeline: Executes a complete development workflow from preparation to reflection.
  • Multi-Agent Collaboration: Integrates specialist agents for building, testing, verifying, and refining code.
  • Quality Gates: Enforces checks for code quality, security, and test coverage.
  • Use Case: When a user requests to implement a new feature story, this Skill will automatically manage the entire process, from initial code generation to final commit, with built-in review and refinement loops.

Quick Start

Use the Pantheon Story Pipeline skill to implement story 5-1 from the sprint artifacts directory.

Frequently Asked Questions about Pantheon Story Pipeline

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

FAQPage Schema
How do I automate story implementation with multi-agent code review?

Automate story implementation by orchestrating a 9-phase pipeline that manages code building via TDD, parallel multi-perspective verification, and iterative refinement. It coordinates specialist agents to handle the entire workflow from story preparation to automated commit with reflection.

What is a multi-agent pipeline for TDD story implementation?

A multi-agent pipeline for TDD story implementation is a structured workflow where specialist AI agents collaborate to build, test, verify, and refine code. It enforces quality gates for code quality, security, and test coverage across nine distinct phases.

How do I run the Pantheon Story Pipeline to implement a feature story?

To run the Pantheon Story Pipeline, provide the specific input contracts for the story key and sprint artifacts directory. The pipeline then automatically executes from initial code generation through multi-perspective verification to final automated commit.

Can I use this multi-agent pipeline for sprint artifact processing?

Yes, you can use this pipeline for sprint artifact processing by supplying the required sprint artifacts directory and story key. It validates these inputs to automatically manage story preparation, code generation, and continuous learning reflection.

Does the story implementation pipeline enforce security and test coverage checks?

Yes, the story implementation pipeline enforces security and test coverage checks through built-in quality gates. It integrates specialist agents to perform security assessments and coverage verification during the parallel multi-perspective review phase.

What are the limitations of automating code review with a multi-agent system?

Automating code review with this multi-agent system requires specific input contracts for story keys and sprint artifacts to execute. Without these structured inputs, the 9-phase pipeline cannot properly orchestrate the preparation, TDD building, and refinement phases.