lkshrk/linear-ai

linear-status

Inspect a Linear issue and report the current workflow phase, missing evidence, state inconsistencies, and recommended next skill. Use when the user asks what is next, where the issue stands, whether work can resume, or why labels/comments disagree.

First seen Jun 13, 2026

Installation

$ npx skills add lkshrk/linear-ai --skill linear-status

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Gemini CLI Not declared
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Repository health

Stars 1
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,064 B
  • docs SUMMARY.md 270 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 41 installs

SKILL.md

Linear Status

Use this as the read-only status and resume detector for one Linear issue. Start here when an agent is unsure what to do next.

Linear MCP Contract

Use these Linear MCP tools when available:

  • get_issue - read the issue description dashboard, labels, status, assignee, project, branch metadata, and links.
  • list_comments - find the newest marked plan and status comments.

Validate marked comments and the issue description dashboard with:

scripts/validate_marked_comments.ts --description <issue-description-file> <comment-file>

Use the local JavaScript package manager or runtime available to the agent: Bun can run the .ts scripts directly; Node/npm/pnpm/yarn environments should run them through a TypeScript runner such as tsx.

If Linear MCP read tools are unavailable, ask for pasted issue description, labels, status, and newest marked comments. If Linear MCP write tools are unavailable or the issue state needs repair, emit REQUIREDLINEARMUTATIONS with exact description, labels, status, and comments to apply.

Phase Detection

Determine current phase from actual issue state, not memory:

  • setup-blocked - required Linear labels, projects, or component/type labels are missing; run linear-doctor.
  • create-issue - no Linear issue exists or intake metadata is incomplete; run linear-create-issue.
  • refine-plan - issue has llm-refine, no valid ready plan, or open product questions; run linear-refine.
  • implement - issue has llm-ready and newest valid plan has plan_status: ready; run linear-implement.
  • blocked - issue has llm-blocked or newest status comment has unresolved questions; run linear-refine or ask the listed blocker question.
  • review-handoff - issue has llm-review or newest status comment is review_ready; prepare human review.
  • repair-state - labels, description dashboard, and comments disagree, multiple llm-* states are present, newest marked comment is invalid, required dashboard/status evidence is missing, or the in-use claim lock is stale or contradictory (see Claim Lock Check).

When labels, the description dashboard, and comments disagree, prefer validated marked evidence as evidence, then recommend the smallest description, label, or status repair.

Claim Lock Check

Inspect the in-use claim lock per the Claim Lock Rule in docs/workflow.md and report a claim-stale finding under repair-state when the lock looks orphaned.

Tier 1 — structural contradictions (label-only, reliable). Flag in-use when it cannot legitimately coexist with the current state:

  • the issue is Done/closed but still carries in-use (a missed release),
  • in-use is present with no active work state, or with a state that releases on stop (llm-ready, llm-blocked).

in-use alongside llm-refine, llm-active, or llm-review is a legitimate held lock; do not flag it on labels alone.

Tier 2 — staleness (needs claim metadata). When the linear-ai:claim block is present in the description, treat the lock as stale if now - claimedat exceeds the stale threshold (default 60 minutes; let the user override). Report claimedby and the age. If in-use is present but no claim block exists, flag the mismatch (a label and claim block must be present or absent together) and fall back to the Tier 1 checks.

For any stale or contradictory lock, recommend the smallest repair: remove the in-use label and the linear-ai:claim block. Do not apply the repair unless explicitly acting as a finalizer with write tools available; otherwise emit it as REQUIREDLINEARMUTATIONS.

Step Completion Handoff

Report:

  • Current phase
  • What changed, if this status check repaired or clarified state
  • Evidence from issue labels/status and newest marked comments
  • Missing evidence
  • Open blocker
  • Recommended next step
  • Recommended next skill

Ask if there is anything else to add for this status step. If yes, continue the current step by re-reading the new evidence. If no, recommend moving to the next workflow step and name the skill to run.

After the add-more question is answered "no", ask whether the user wants to continue with the recommended next skill. Name the recommended next skill explicitly and wait for user confirmation; do not auto-run it.

Use this response shape:

  • Current phase
  • What changed
  • Evidence
  • Missing evidence
  • Open blocker
  • Recommended next step
  • Recommended next skill
  • Question: Is there anything else to add before moving on?
  • Question: Do you want to continue with the recommended next skill?

Stop after producing a phase diagnosis, missing evidence list, and recommended next skill. Do not change issue state unless explicitly acting as a finalizer with write tools available.