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Linear Sdk Telemetry Labeler

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

linear-sdk-telemetry-labeler skill documents Classify and apply SDK Telemetry labels to Linear issues based on their title and description.

About

linear-sdk-telemetry-labeler skill documents Classify and apply SDK Telemetry labels to Linear issues based on their title and description. Use when triaging issues related to SDK telemetry signals: errors, traces, spans, profiles, replays, logs, metrics, cron checks, client reports, user feedbacks, or attachments. Triggers: "sdk telemetry lab. name: linear-sdk-telemetry-labeler description: >

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

Linear Sdk Telemetry 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-sdk-telemetry-labeler capabilities & compatibility

Capabilities
linear sdk telemetry labeler quick start · linear sdk telemetry labeler when to use guidanc · linear sdk telemetry labeler integration pattern
Works with
sentry
Use cases
code review
From the docs

What linear-sdk-telemetry-labeler says it does

Classify and apply SDK Telemetry labels to Linear issues based on their title and description.
SKILL.md
Use when triaging issues related to SDK telemetry signals: errors, traces, spans, profiles,
SKILL.md
npx skills add https://github.com/getsentry/sdk-skills --skill linear-sdk-telemetry-labeler

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

How do I use linear-sdk-telemetry-labeler correctly?

Classify and apply SDK Telemetry labels to Linear issues based on their title and description. Use when triaging issues related to SDK telemetry signals: errors, traces, spans, profiles, replays, logs

Who is it for?

Teams implementing linear-sdk-telemetry-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-sdk-telemetry-labeler, classify and apply sdk telemetry labels to linear issues based on their title and descript.

What you get

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

Files

SKILL.mdMarkdownGitHub ↗

Linear SDK Telemetry Labeler

Classifies Linear issues and applies an SDK Telemetry 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.

SDK Telemetry Label Reference

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

LabelWhen to use
ErrorsError events, exception capture, crash reporting, error grouping, captureException, captureMessage, error payloads, fingerprinting
TracesDistributed tracing, trace context propagation, trace sampling, sentry-trace header, W3C traceparent/baggage
SpansSpan creation, span attributes/tags, auto-instrumentation producing spans, startSpan, span operations, OTel span APIs
ProfilesProfiling, continuous profiling, function-level profiling, profiler lifecycle, profile envelope item
ReplaysSession replay, replay recording/capture, replayId, rrweb integration, replay worker, replay envelope item
LogsStructured log capture, sentry.logger, logger.info/warn/error, log envelope item
MetricsCustom metrics, counters, gauges, histograms, distributions, metrics.increment, metrics.gauge, metrics.distribution
ChecksCron monitors, check-ins, captureCheckIn, monitor slugs, scheduled task tracking
Client ReportsClient reports, discarded events reporting, envelope items for client reports, sendClientReports
User FeedbacksUser feedback widget, feedback form, captureFeedback, crash reporter UI, showReportDialog
AttachmentsAttachments, file uploads, addAttachment, screenshot capture, view hierarchy dumps

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.

  • Use query_data to list issues for the team, including each issue's label IDs.

Paginate (limit 50, use cursor) until done.

Step 2 — Fetch label IDs

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

query_data: fetch all labels whose parent label name is "SDK Telemetry"
→ build a map: { "Errors": "<uuid>", "Spans": "<uuid>", ... }

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

Step 3 — Filter candidates

Filter issues client-side: keep only issues where none of the issue's label IDs appear in the Step 2 UUID map values (i.e., no SDK Telemetry 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 mentions "replay", "session replay", "rrweb", "replay recording", "replay capture" → Replays 2. Title or description mentions "profile", "profiling", "profiler", "continuous profil" → Profiles 3. Title or description mentions "cron", "check-in", "checkin", "captureCheckIn", "monitor slug", "scheduled task" → Checks 4. Title or description mentions "client report", "discarded event", "sendClientReports" → Client Reports 5. Title or description mentions "feedback", "showReportDialog", "captureFeedback", "feedback widget", "crash reporter UI" → User Feedbacks 6. Title or description mentions "attachment", "addAttachment", "screenshot capture", "view hierarchy" → Attachments 7. Title or description mentions "metric", "counter", "gauge", "histogram", "distribution", "metrics.increment", "metrics.gauge" → Metrics 8. Title or description mentions "log", "logger", "structured log", "sentry.logger", "log envelope" → Logs 9. Title or description mentions "span", "startSpan", "auto-instrument", "OTel span", "span attribute", "span operation" → Spans 10. Title or description mentions "trace", "tracing", "traceparent", "baggage", "sentry-trace", "distributed trac", "trace propagat", "trace sampl" → Traces 11. Title or description mentions "error", "exception", "crash", "captureException", "captureMessage", "error group", "fingerprint" → Errors

When ambiguous between Spans and Traces: spans are individual units of work; traces are the propagation/sampling/context layer. An issue about instrumenting a library → Spans. An issue about sentry-trace header or sampling → Traces.

When ambiguous between Logs and Errors: structured log capture → Logs. Error/exception capture → Errors.

Assign exactly one SDK Telemetry 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 Label | Confidence          |
|---------|--------------------------------|----------------|---------------------|
| SDK-123 | Add span for DB queries        | Spans          | High                |
| SDK-456 | Fix trace propagation in Fetch | Traces         | High                |
| SDK-789 | Improve SDK startup            | —              | Low — please review |

Ask: "Should I apply these labels? Reply with any corrections (e.g. 'SDK-789 → Logs') 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 SDK Telemetry 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 → Spans", "SDK-456 → Traces".

Edge Cases

  • Issue already has an SDK Telemetry label: Skip it; don't overwrite human classifications.
  • Issue could belong to multiple signals: Pick the most specific one (e.g., an issue about

replay span instrumentation → Replays, not Spans).

  • Very short title, no description: Flag as low-confidence; surface for human review.
  • No clear telemetry signal: Do not apply any label; flag for human review.

Related skills

FAQ

What does linear-sdk-telemetry-labeler do?

linear-sdk-telemetry-labeler skill documents Classify and apply SDK Telemetry labels to Linear issues based on their title and description.

When should I use linear-sdk-telemetry-labeler?

User asks about linear-sdk-telemetry-labeler, classify and apply sdk telemetry labels to linear issues based on their title and descript.

Is this skill safe to install?

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

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