Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
getsentry avatar

Linear Type Labeler

  • 7 installs
  • 2 repo stars
  • Updated June 19, 2026
  • getsentry/sdk-skills

linear-type-labeler skill documents Classify and apply Type labels to Linear issues based on their title and description.

About

linear-type-labeler skill documents Classify and apply Type labels to Linear issues based on their title and description.. name: linear-type-labeler description: > Covers installation, configuration, and when-to-use guidance from the upstream SKILL.md workflow.

  • Classify and apply Type labels to Linear issues based on their title and description.
  • Platform-specific setup patterns for linear-type-labeler.
  • Evidence-backed steps from upstream SKILL.md.
  • When-to-use criteria for linear-type-labeler versus alternatives.

Linear Type Labeler by the numbers

  • 7 all-time installs (skills.sh)
  • Ranked #852 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Data as of Jul 24, 2026 (Skillselion catalog sync)
At a glance

linear-type-labeler capabilities & compatibility

Capabilities
linear type labeler quick start · linear type labeler when to use guidance · linear type labeler integration patterns
Works with
sentry
Use cases
code review
From the docs

What linear-type-labeler says it does

Classify and apply Type labels to Linear issues based on their title and description.
SKILL.md
allowed-tools: mcp__linear-server__query_data mcp__linear-server__get_issue mcp__linear-server__save_issue AskUserQuestion
SKILL.md
npx skills add https://github.com/getsentry/sdk-skills --skill linear-type-labeler

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs7
repo stars2
Last updatedJune 19, 2026
Repositorygetsentry/sdk-skills

How do I use linear-type-labeler correctly?

Classify and apply Type labels to Linear issues based on their title and description.

Who is it for?

Teams implementing linear-type-labeler workflows from the catalog.

Skip if: Skip when requirements clearly match a different specialized stack.

When should I use this skill?

User asks about linear-type-labeler, classify and apply type labels to linear issues based on their title and description..

What you get

Working linear-type-labeler setup with validated configuration and next steps.

Files

SKILL.mdMarkdownGitHub ↗

Linear Type Labeler

Classifies Linear issues and applies a Type label from the Sentry workspace's label taxonomy based on the content of each issue's title and description.

Requirements

This skill requires the Linear MCP server to be configured.

Type Label Reference

Type labels in the Sentry workspace (workspace-level, not per-team):

LabelWhen to use
BugSomething is broken, regression, error, crash, incorrect behavior
FeatureNew capability, integration, API, SDK support — something that doesn't exist yet
ImprovementMaking existing functionality better — performance, DX, UX, reliability
TaskChore, investigation, spike, migration, cleanup, operational work
Tracking IssueParent/umbrella tracking a larger body of work; has sub-issues or a checklist
DocsDocumentation, RFC, write-up, changelog, guide
TestsWriting or fixing tests, coverage, test infrastructure

Workflow

Step 1 — Identify issues to process

Two modes:

A — List of Linear IDs provided (e.g. SDK-123, SDK-456):

  • Fetch each issue by ID using get_issue. Skip the team-fetch step entirely.

B — No IDs provided:

  • Infer the team: (1) current GitHub repository name — for the getsentry org, the repo name

matches the Linear team name, (2) explicitly stated by the user, (3) if still ambiguous, ask.

Step 2 — Fetch label IDs

Use query_data to fetch workspace-level labels and build a UUID map:

query_data: fetch all labels for the workspace (not the team)
→ filter to those whose parent label name is "Type"
→ build a map: { "Bug": "<uuid>", "Feature": "<uuid>", ... }

If the workspace has no "Type" label group, surface that to the user before proceeding.

Step 3 — Fetch and filter issues

If in mode A (list of IDs): use the already-fetched issues from Step 1. Filter client-side: keep only those where none of the issue's label IDs appear in the Step 2 UUID map values.

If in mode B (team): use query_data to list issues for the team, including each issue's label IDs. Paginate (limit 50, use cursor) until done. Filter client-side: keep only issues where none of the issue's label IDs appear in the Step 2 UUID map values (i.e., no Type label assigned yet).

Announce the total candidate count before continuing. If there are more than 25 candidates, process in chunks of 25, confirming each chunk before the next.

Step 4 — Classify each issue

For each candidate issue, read its title and description. Apply heuristics in priority order — stop at the first match:

1. Title or description is clearly about testing work: mentions "test", "tests", "coverage", "test infra", "test suite", "unit test", "integration test" → Tests 2. Title or description is clearly about documentation: mentions "docs", "README", "changelog", "RFC", "spec", "guide", "write-up", "develop.sentry.dev" → Docs 3. Title contains [META], [EPIC], "Track", "Tracking"; or description has a checklist of Linear/GitHub issue links → Tracking Issue 4. Title starts with "Fix", "Fixes", "Broken", "Error", "Crash", "Regression" → Bug 5. Title starts with "Improve", "Optimize", "Enhance"; or is a refactor with user-visible impact (changes behavior, performance, or API ergonomics) → Improvement 6. Title starts with "Investigate", "Spike", "Migrate", "Update", "Clean up", "Chore"; or is a refactor with no user-visible change → Task 7. Title starts with "Add", "Support", "Implement", "New", "Introduce"; or adds something that doesn't exist yet → Feature

When ambiguous between Feature and Improvement: does it add something that doesn't exist at all, or make something existing better? Former → Feature, latter → Improvement.

When ambiguous between Task and Improvement: is there a user-visible benefit (better performance, reliability, DX, API ergonomics)? If yes → Improvement. If it's purely internal with no user-visible impact → Task.

Assign exactly one Type label. Mark confidence:

  • High — clear signal in title or description
  • Low — genuinely ambiguous; flag for human review, don't guess

Step 5 — Present the plan

Show a summary table before writing anything:

| Issue   | Title                  | Proposed Type | Confidence          |
|---------|------------------------|---------------|---------------------|
| SDK-123 | Fix crash on startup   | Bug           | High                |
| SDK-456 | Add OAuth support      | Feature       | High                |
| SDK-789 | Some vague title       | Task          | Low — please review |

Ask: "Should I apply these labels? Reply with any corrections (e.g. 'SDK-789 → Bug') and I'll update the plan before applying."

If the user provides corrections, update the table and show the revised plan before proceeding.

Step 6 — Apply labels

For each approved classification:

1. Call get_issue to fetch the issue's current label IDs immediately before writing 2. Append the Type label UUID from the Step 2 map 3. Call save_issue with the full combined label set

Always re-fetch and always pass the full combined set. Linear replaces labels on
update — labels added between Step 3 and now would be silently stripped if you use
the cached label list.

Report as you go: "SDK-123 → Bug", "SDK-456 → Feature".

Edge Cases

  • Issue already has a Type label: Skip it; don't overwrite human classifications.
  • Very short title, no description: Flag as low-confidence; surface for human review.
  • Issue belongs to multiple types: Pick the primary type (bug fix with a docs update → Bug).

Related skills

FAQ

What does linear-type-labeler do?

linear-type-labeler skill documents Classify and apply Type labels to Linear issues based on their title and description.

When should I use linear-type-labeler?

User asks about linear-type-labeler, classify and apply type labels to linear issues based on their title and description..

Is this skill safe to install?

Review the Security Audits panel on this page before installing in production.

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.