issue-lifecycle

Define Linear issue ownership, status transitions, and evidence-based closure rules.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Cianai/ClinearHub --skill issue-lifecycle-cianai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: issue-lifecycle
Source: https://github.com/Cianai/ClinearHub/tree/main/skills/issue-lifecycle
Command: npx skills add https://github.com/Cianai/ClinearHub --skill issue-lifecycle-cianai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Defines clear ownership boundaries between AI agents and humans, status transition rules, and operational patterns for Linear issue management.

Core Features & Use Cases

  • Ownership Model: The agent owns process and implementation artifacts (status, labels, specs); humans own business judgement (priority, deadlines).
  • Status Transitions: Detailed rules for triage, todo, in-progress, in-review, and done with immediate context label changes.
  • Closure Protocol: Evidence-based closure with mandatory closing comments and quality scoring.
  • References: Links to status-transition and closure-protocol references to enforce auditability.

Quick Start

Review the documented lifecycle and start applying the standard transitions to new Linear issues.

Frequently Asked Questions about issue-lifecycle

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

FAQPage Schema
How do I manage Linear issue status transitions and ownership boundaries with AI agents?

Linear issue lifecycle management defines clear ownership boundaries where AI agents own process artifacts like status and labels, while humans own business judgement like priority. This ensures consistent policy application across triage, in-progress work, reviews, and closure.

What is the best way to enforce governance and auditability for Linear issue triage?

Linear issue governance is enforced by applying detailed status transition rules for triage, todo, in-progress, in-review, and done states. Immediate context label changes and references to protocol documents ensure all triage actions are fully auditable.

How does the closure protocol work for Linear issues?

The Linear issue closure protocol requires evidence-based closure with mandatory closing comments and quality scoring. This ensures that completed issues meet quality standards and provide an auditable record of the final state before transition to done.

Can I use this issue lifecycle management approach for tracking in-progress work across multiple projects?

Yes, this issue lifecycle management applies to in-progress work and reviews across projects. It implements consistent rules for statuses, context labels, and spec states, ensuring uniform policy application regardless of the project scale.

What are the limitations of relying on AI agents for Linear issue curation?

AI agents are limited to owning process and implementation artifacts such as status, labels, and specs. Business judgement, including priority and deadline decisions, remains a human responsibility to prevent automated misalignment with project goals.

Do I need specific dependencies to implement status-transition and closure protocols for issue management?

No specific dependencies are required to implement status-transition and closure protocols for issue management. The lifecycle rules operate independently, referencing protocol documents to enforce auditability and consistent issue governance.