execute

Orchestrate story execution from stories.json with agents for implementation, validation, and commits.

3|Updated Mar 22, 2026

Search Tags:#workflow #agents #parallel #quality-gates #execute #stories.json

Ready to run

npx skills add https://github.com/SyloRei/claude-godmode --skill execute-sylorei

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: execute
Source: https://github.com/SyloRei/claude-godmode/tree/main/skills/execute
Command: npx skills add https://github.com/SyloRei/claude-godmode --skill execute-sylorei

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end execution of stories defined in stories.json by coordinating Claude agents to implement, validate, and commit changes. It scales from sequential to parallel execution when dependsOn dependencies exist, and provides deterministic progress tracking and rollback where needed.

Core Features & Use Cases

Orchestrates the story implementation lifecycle using @executor and @reviewer (with optional @security-auditor)
Supports parallel execution of independent stories via dependency batching and safe merge post-batch
Enforces quality gates, progress tracking, and structured commits for auditability
Use Case: A feature branch with US-001..US-005 stories can be executed in batches, reviewed, and merged with a single PR

Quick Start

Run /execute to start processing stories from stories.json.

Frequently Asked Questions about execute

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

FAQPage Schema

How do I orchestrate parallel AI agents to execute stories from a JSON file?▼

You can orchestrate parallel AI agents by running the /execute command to process stories from stories.json, coordinating agents to implement, validate, and commit changes automatically.

What is the best way to manage dependency-aware workflows for parallel story execution?▼

Dependency-aware workflows are managed by batching independent stories for parallel execution when dependsOn fields exist, with sequential fallbacks and post-merge validation ensuring safe merges.

How do AI agents enforce code quality gates and audit trails during story implementation?▼

AI agents enforce quality gates and audit trails by using @executor and @reviewer agents to validate changes, tracking progress deterministically, and generating structured commits for accountability.

Can I include a security auditor when orchestrating automated story execution?▼

Yes, you can include an optional @security-auditor agent alongside the standard @executor and @reviewer agents to validate security during the story implementation lifecycle.

Why does parallel story execution fall back to sequential processing?▼

Parallel execution falls back to sequential processing when dependency constraints in the dependsOn fields prevent independent batching, ensuring dependency-aware workflows remain safe and deterministic.

Do I need a specific pipeline structure to automate story execution and merging?▼

Yes, you need the .claude-pipeline structure and its documented agent commands to automate end-to-end story execution, batching, quality gates, and post-merge validation.