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ship-feature

Automate the software delivery lifecycle from Jira ticket intake to merge.

Updated Jul 3, 2026
Search Tags:#automation#jira#code-review#cicd#feature-delivery#agentic-workflow
One-click install
npx skills add https://github.com/ohyesgocool/feature-loop --skill ship-feature-ohyesgocool
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ship-feature
Source: https://github.com/ohyesgocool/feature-loop/tree/main/skills/ship-feature
Command: npx skills add https://github.com/ohyesgocool/feature-loop --skill ship-feature-ohyesgocool

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the lack of discipline and oversight in AI-driven coding by automating the entire feature lifecycle, ensuring that code is not just written, but planned, independently reviewed, and verified against requirements before merging.

Core Features & Use Cases

  • Autonomous Loop Execution: Manages the full lifecycle from Jira ticket intake to final merge and reporting, including conflict resolution and pipeline verification.
  • Independent Quality Assurance: Orchestrates multi-model AI reviews that operate independently of the code author to eliminate blind spots.
  • Traceability and Compliance: Maintains a strict mapping between business requirements and code changes, ensuring that tickets are only marked as done when all criteria are met.

Quick Start

Run the ship-feature skill by providing the ticket key PROJ-123 to initiate the automated delivery loop for that specific feature.

Frequently Asked Questions about ship-feature

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

FAQPage Schema
How do I automate end-to-end feature delivery from a Jira ticket?▼

To automate feature delivery, the ship-feature skill orchestrates the entire lifecycle from Jira ticket intake through planning, building, independent review, and final merge. It ensures code changes are verified against requirements before merging.

What is autonomous agentic workflow for code review and CI/CD?▼

Autonomous agentic workflow for code review orchestrates multi-model AI reviews independently of the code author to eliminate blind spots. It automates pipeline verification and conflict resolution during the feature delivery lifecycle.

Can I use automation to ensure Jira requirements are met before merging code?▼

Yes, you can use automation to maintain strict traceability and compliance between business requirements and code changes. Tickets are only marked as done when all specified Jira criteria are fully met.

How do I standardize feature development across our engineering team?▼

You can standardize feature development by applying an autonomous loop that manages the full lifecycle from Jira ticket intake to final merge and reporting. This enforces consistent planning, independent quality assurance, and multi-stage validation.

Does the automated feature delivery loop handle merge conflicts and pipeline verification?▼

Yes, the automated feature delivery loop handles conflict resolution and pipeline verification autonomously. It manages the complete process from ticket intake to final merge and reporting without manual intervention.

What are the limitations of using autonomous workflows for feature delivery?▼

While autonomous workflows standardize feature development and ensure requirement coverage, they require secure integration with version control and project management systems. The system depends on strict state persistence and idempotency to function correctly.

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