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linear

Manage Linear issues from initial lookup through completion by checking descriptions and images, updating status, and posting concise results. It also helps break larger work into ordered, nested sub-issues with clear dependencies and self-contained acceptance criteria.

OriginalShow the original description

Use for Linear issues, LOBE-xxx links, status updates, completion comments and sub-issue trees.

lobehub/lobehub83,504 stars(GitHub 83,504 + cccskills 0)
Works withLinear

Run score Not tested

See how to install

Good for

  • Reviewing a Linear issue before starting work
  • Updating issue status and adding completion notes
  • Breaking a project issue into ordered sub-issues
  • Recording dependencies between tasks
  • Creating issues in the conversation's language

Overview

What it does

This skill guides issue work in Linear from initial review through completion. Before work begins, it helps check the issue description, attached images, and parent or child issues, then update the status when work starts. When creating or editing issues, it follows the language of the conversation. At completion, it guides you to leave a concise comment with the work performed and verification results.

For larger tasks, it helps build a sub-issue tree with numbered titles that show execution order, logical parent and child relationships, and dependency issue IDs. Each sub-issue should describe its goal, files involved, acceptance criteria, dependencies, and validation steps.

When it helps

Use it when you want to understand a Linear issue before implementation, keep teammates informed about progress, or manage work through completion. It is also useful when a larger task needs to be split into issues whose order and dependencies are visible.

Example requests

  • “Review this Linear issue’s description, images, and sub-issues before starting.”
  • “Break this feature into a sub-issue tree with clear dependencies.”
  • “The work is complete; add a comment with the verification results.”

Notes

First check that tools are available for searching issues, viewing images, creating or updating sub-issues, and posting comments. When creating an issue, the default policy is to add the claude code label and assign it to yourself unless the user specifies otherwise.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
BPartly lackingIt updates issues and posts comments; confirmation is addressed only in limited cases.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt requires discovery of issue and image tools but provides no installation steps.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 26, 2026. Treat it as a guide and read the original before installing.

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Files included (1)

  • SKILL.md6.0 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Linear Issue Management

Before using Linear workflows, discover the available Linear tools, including deferred tools, and inspect their current schemas. Select tools by capability (issue lookup, images, sub-issues, create/update, comments), not a fixed MCP prefix or historical tool name. Report a missing capability only after discovery.

Workflow

  1. Retrieve issue details before starting using the issue lookup capability.
  2. Read images — issue descriptions often contain screenshots with critical context (mockups, error states, before/after). Use the available image extraction or viewing capability; reading raw markdown alone misses what the reporter was looking at.
  3. Check for sub-issues using the available parent filter or issue relation fields.
  4. Mark as In Progress at the moment you start planning or implementing — this signals to teammates the issue is owned, so they don't double-pick it up.
  5. Follow Per-Issue Completion before moving to the next issue.

Creating Issues

When creating issues, add the claude code label. Reason: the label is how the team filters/audits AI-generated issues; without it those issues vanish into the general backlog and the team loses visibility into AI contribution patterns.

Unless the user explicitly specifies another assignee or asks for the issue to remain unassigned, pass assignee: "me" so the issue is assigned to the authenticated Linear user. Always honor explicit assignment instructions over this default.

Language

Match the issue language to the conversation that produced it — if you're discussing in 中文,write the issue in 中文;if discussing in English, write it in English. Reason: the issue is a continuation of the conversation, and forcing a language switch creates translation friction for the collaborator who started the thread.

Specifics:

  • 中文 conversation → 中文 body; technical terms (file paths, identifiers, library names, commands, error messages) stay in English.
  • English conversation → English body.
  • Code blocks, file paths, and quoted strings always stay in their original form regardless of surrounding language.
  • This applies equally to updates — when editing an existing issue (description and titles), preserve the language of the conversation that triggered the edit; don't switch the issue language mid-refactor.

Creating Sub-issue Trees

When breaking a parent issue into a tree of sub-issues (e.g., task decomposition for LOBE-xxx), follow these conventions and check the available tool capabilities.

1. Prefix titles with an ordering index

Linear supports sub-issue ordering, but tool support varies. Check the discovered create/update schema for ordering fields rather than assuming a particular MCP tool exposes them.

Workaround: encode execution order in the title itself:

[1]     [db]       add schema fields
[2]     [db]       new table + repository
[3]     [service]  business logic layer
[4]     [api]      REST endpoints
[4.1]   [sdk]      client SDK wrapper
[4.1.1] [app]      consumer integration
[4.1.2] [app]      UI surface
[4.2]   [ui]       dashboard page

Even when the panel shuffles, the reader can mentally reconstruct the dependency graph at a glance. Dotted numbering [n.m.k] should mirror the parent-child nesting so the index and the tree agree.

2. Nest sub-issues by logical parent-child, not flat under the root

Linear supports unlimited sub-issue depth. A flat list of 8+ siblings under one root is hard to scan. Group by main-subordinate logic:

  • Core service → its SDK → SDK consumers
  • Don't create a sibling when a child is more accurate

Set the parent relation when creating or moving an issue using the discovered schema (for example, parentId: "LOBE-xxxx" when supported). Moving the parent does not require rewriting blockedBy relations.

3. Sub-issue creation order is dictated by blockedBy

blockedBy requires the blocker to exist first (you need its LOBE-id). So:

  1. Topologically sort the DAG — leaves (no deps) first, roots last
  2. Create issues with zero deps in the first wave
  3. Create dependent issues only after collecting the blocker IDs from prior responses
  4. blockedBy is append-only; passing it again does not overwrite — safe to re-run

4. Respect dependency order

Collect blocker IDs before creating dependent issues. Do not assume parallel execution from how tool calls appear in a message; use the active tool's supported execution behavior.

5. Keep each sub-issue description self-contained

Each sub-issue should state:

  • Goal (1–2 lines)
  • Key files to touch
  • Concrete changes / acceptance criteria
  • Dependencies (link to blocker issues by LOBE-xxxx)
  • Validation steps

The implementer may open only the sub-issue, not the parent — don't rely on context that lives only in the parent description.

Per-Issue Completion

Close out each issue before starting the next; do not defer all Linear updates to the end. Reuse existing authorization for that issue's status updates and comments without asking again.

  1. Complete implementation and the repository-required checks, including related tests; follow the Quality Check section of the repository's AGENTS.md (bun run check in LobeHub).
  2. Create a PR when needed using the pr skill. Include Fixes LOBE-123 (or Closes / Resolves) in the PR body so Linear can link it and close the issue on merge.
  3. Update the issue to In Review while its PR awaits merge, then Done after merge. For work that needs no PR, mark Done when its outcome and verification are complete.
  4. Proactively add or update a concise completion comment with the resulting behavior, important changes, validation, and PR link. PR linkage does not replace this human-readable summary. If an existing comment already covers the same result, do not post a duplicate.

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