Issue Readiness Dashboard

Know which Linear issues are ready for implementation.

See whether each issue has enough context for an engineer or AI coding agent to implement correctly before work begins.

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Install SpecBot to start checking issue readiness, flagging missing context, and enriching issues before developers or coding agents start work.

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Objective / problem

Can an implementation agent state the user or business problem and desired outcome without guessing?

Expected behavior

Does the issue define the expected behavior, success path, and observable result?

Acceptance criteria

Are the acceptance criteria and definition of done explicit, testable, and specific enough for verification?

Edge cases

Does the issue cover failure modes, boundaries, exceptions, and unusual paths an agent should not have to invent?

Technical context

Are implementation-relevant systems, files, APIs, designs/docs, resources, and constraints identified?

Dependencies

Does the issue call out dependencies, linked work, blockers, or required coordination?

Reproduction steps

For bugs, are there reliable reproduction steps plus actual versus expected behavior?

Priority and scope clarity

Are scope boundaries, constraints, priority, and out-of-scope details clear enough to prevent agent guesswork?

Default gate policy

Comment only at 80/100 with stale issue detection after 14 days.