Analyze a Linear team's issues to surface organization patterns and conventions.
npx skills add https://github.com/breethomas/bette-think --skill issue-audit
Please help me install this Agent Skill. Skill: issue-audit Source: https://github.com/breethomas/bette-think/tree/main/plugins/bette-think/skills/issue-audit Command: npx skills add https://github.com/breethomas/bette-think --skill issue-audit
Helps product managers onboarding to a new team quickly understand how that team organizes work in Linear by identifying workflow states, label taxonomies, cycle usage, and writing patterns so the PM can follow established conventions.
Invoke the skill by typing /issue-audit followed by the team's name, for example /issue-audit Customer Experience.
High-intent search queries and answers about installing and using this skill.
Auditing Linear issue conventions involves sampling active, completed, and backlog issues to surface organization patterns. It maps workflow states, labels, and cycle configurations so you can follow established team conventions.
You analyze Linear workflow states and labels by fetching issue metadata, workflow states, and cycle configurations. Sampling nine issues across active, completed, and backlog states reveals how the team structures work from triage to done.
Yes, you need Linear MCP access to audit team issues. The skill requires fetching issue fields, workflow states, labels, and cycle information through Linear MCP metadata to infer conventions from the sampled issues.
The best way to discover patterns in Linear issue titles and descriptions is by sampling a balanced set of active, completed, and backlog issues. This approach reveals writing patterns, hierarchy usage, and label taxonomies.
Yes, analyzing a Linear team's issue patterns produces concrete onboarding recommendations and follow-up queries. This helps new PMs adopt team conventions quickly by providing guidance on issue details and label filtering.
A nine-issue sample across active, completed, and backlog states is needed to infer team conventions in Linear. This balanced sample surfaces patterns in titles, descriptions, hierarchy, and label usage.
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