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BrennonTWilliams
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manage-issue

Automate software issue lifecycles from planning through verification.

7|2|Updated Jan 3, 2026
Search Tags:#automation#workflow#tdd#development#lifecycle#issue-tracking
One-click install
npx skills add https://github.com/BrennonTWilliams/little-loops --skill manage-issue-brennontwilliams
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: manage-issue
Source: https://github.com/BrennonTWilliams/little-loops/tree/main/.gemini/skills/manage-issue
Command: npx skills add https://github.com/BrennonTWilliams/little-loops --skill manage-issue-brennontwilliams

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the fragmentation of AI-assisted development by automating the entire lifecycle of a software issue, from initial research and planning to implementation, verification, and final status updates.

Core Features & Use Cases

  • Autonomous Lifecycle: Orchestrates a complete sequence of planning, implementation, and verification without requiring constant human intervention.
  • Context-Aware Execution: Utilizes deep research agents to gather codebase context and historical effort data before drafting implementation plans.
  • Verification Harness: Enforces TDD-style workflows and automated verification gates to ensure code quality and adherence to project specifications.

Quick Start

Use the manage-issue skill to autonomously implement the feature request identified as FEAT-123.

Frequently Asked Questions about manage-issue

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

FAQPage Schema
How do I automate the software issue lifecycle from planning to verification?▼

Autonomous issue lifecycle management automates the end-to-end workflow of software issues, from initial research and planning to implementation, verification, and final status updates, reducing the fragmentation typically seen in AI-assisted development.

How does automated issue tracking handle test-driven development workflows?▼

Automated issue tracking enforces test-driven development workflows through a verification harness. It executes automated verification gates, including project-specific test, lint, and build commands, to ensure code quality and adherence to project specifications before completing an issue.

Can I use autonomous issue management with my existing project configuration?▼

Yes, autonomous issue management requires integration with your project-level configuration. It utilizes this setup to execute project-specific test, lint, and build commands, operating across your existing project-specific issue directories to maintain workflow consistency.

What is the best way to gather codebase context before implementing a feature?▼

The best way to gather codebase context is to use deep research agents that analyze your codebase and historical effort data. This context is then used to automatically draft accurate implementation plans before any code is written for the feature request.

Do I need to manually update issue statuses when using an autonomous development workflow?▼

No, you do not need to manually update issue statuses. An autonomous development workflow manages the complete lifecycle sequence, automatically updating the status tracking across project-specific issue directories once the verification gates are passed.

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