linear-bug-triage

bởi langfuse

Khử trùng lặp bằng chứng lỗi hoặc hồi quy đã đo được với Linear, sau đó thêm bình luận bằng chứng vào các vấn đề hiện có liên quan hoặc tạo Linear ngắn gọn…

npx skills add https://github.com/langfuse/langfuse --skill linear-bug-triage

Linear Bug Triage

Use this skill after a bug or regression candidate has measured evidence. This skill owns Linear search, deduplication, evidence comments, and filing new issues once a human says yes; the calling skill owns deciding whether the signal is issue-worthy.

What This Skill May Write

Every write carries a label and is marked as agent-written in the text, and only three write shapes are permitted at all. linear-agent-writes is the authority for that policy; read it before your first write and prefer it over this summary wherever they differ.

For this skill it resolves to:

  • An evidence comment on an issue that already exists: propose, then post. Show the comment body in the findings table, get a yes (one go-ahead can cover the whole set), then post it and label that issue AI commented. Mark the comment body as agent-written.
  • A new top-level issue: ask once, then file it. A bug cluster surfaced by a review has no parent, and a parentless ticket needs a go-ahead. Take one go-ahead for the whole set, or for named rows — never one question per candidate.

So present the findings table either way: it is what the go-ahead is given against, and it is the report afterwards. One row per candidate:

  • Candidate / cluster name.
  • Environments.
  • Service and route/resource.
  • Recent window measurement.
  • Baseline measurement.
  • Delta / regression summary.
  • Key evidence links — the ones Required Evidence below asks for.
  • Action: awaiting your go-ahead with the exact comment or ticket body, commented <issue key> once approved and posted, or filed <issue key> once a row is approved and created.

Never present an awaiting your go-ahead row without the exact title and body you intend to land underneath it — that text is what is being approved. Deduplicate first, so comments land on the right issue.

If Linear is unreachable in this environment, say so plainly and return every row as text ready to paste. Do not skip the handoff silently.

Required Evidence

For each candidate, gather:

  • Recent window and baseline window as absolute time ranges with timezone.
  • Measured signal: counts, rates, p50/p95/p99 latency, trace samples, flamegraphs, monitor thresholds, or benchmark deltas.
  • Affected environments, services, routes/resources, status codes, and top error messages.
  • Datadog links for logs, spans, traces, metrics, dashboards, or flamegraphs used as evidence.
  • The exact text No measurements found for requested measurements that are unavailable.

Do not create or comment based on guesses, unsupported impact claims, or missing measurements alone.

Deduplication

Always, before writing anything:

  1. Search Linear for related open issues using exact error text, route/resource, service, environment, monitor name, and observability link keywords.
  2. Search recently closed or canceled issues if the error is recurring or the wording is distinctive.
  3. If a related issue exists, put a concise evidence comment in the findings table as awaiting your go-ahead. Post it and label AI commented only after the go-ahead (one yes can cover the whole set).
  4. If no related issue exists, prepare the issue in the format below and put it in the findings table as awaiting your go-ahead. File it once the go-ahead comes, and update the row to filed <issue key>.

Existing Issue Comments

For related existing issues, after a yes, add only:

  • Recent window and baseline window.
  • Measured delta or No measurements found for unavailable signals.
  • Affected environments, services, routes/resources, and top error messages.
  • The evidence links from Required Evidence.

Do not add fix suggestions, root-cause guesses, implementation notes, owner assignments, or next steps.

New Issue Format

The shape to prepare, show for the go-ahead, and then file:

  • State/status Triage; pass the Linear state explicitly on creation and do not rely on workspace defaults.
  • Label bug.
  • Additional existing labels that match the evidence, such as affected service, environment, API, ingestion, latency, ClickHouse, Postgres, integrations, or observability labels. Query labels first and use the repository/team's exact label names.
  • Concise title: bug: <service or route> <measured symptom> in <envs>.
  • Concise body, evidence-only:
Recent window: <absolute time range and timezone>
Baseline: <absolute time range and timezone>

Signal:
- <count/rate/latency delta with env/service/route>
- <"No measurements found" for missing requested measurements>

Evidence:
- Datadog logs: <url>
- Datadog spans/traces: <url>
- Datadog metrics, dashboard, or latency graph: <url>

Related Linear search:
- <brief search terms used and result>

Do not include fix suggestions, root-cause guesses, implementation notes, owner assignments, or next steps unless the user explicitly asks outside the Linear issue or comment.

Thêm skills từ langfuse

frontend-browser-review
langfuse
Sử dụng kỹ năng này khi một thay đổi ảnh hưởng đến những gì người dùng nhìn thấy hoặc thực hiện trong trình duyệt.
frontend-large-feature-architecture
langfuse
Sử dụng khi xây dựng, thay đổi hoặc tái cấu trúc các tính năng frontend lớn của Langfuse, danh sách ảo hóa, bảng lớn, thành phần điều khiển, tính năng cục bộ…
skill-developer
langfuse
Tạo và quản lý các kỹ năng Claude Code theo các phương pháp tốt nhất của Anthropic. Sử dụng khi tạo kỹ năng mới, sửa đổi skill-rules.json, hiểu trình kích hoạt…
langfuse-prompt-migration
langfuse
Di chuyển các prompt được viết cứng sang Langfuse để quản lý phiên bản và lặp lại mà không cần triển khai. Sử dụng khi người dùng muốn ngoại hóa prompt, chuyển prompt sang Langfuse,…
incident-alert-tickets
langfuse
Read and, after human approval, update the Linear `incident-alert` knowledge base. Use before and after investigating a named Datadog monitor,…
refactor-react-effects
langfuse
Tái cấu trúc việc sử dụng React useEffect không cần thiết trong mã frontend Langfuse. Sử dụng khi thêm, xem xét hoặc xóa các effect; khởi tạo biểu mẫu hoặc trạng thái UI cục bộ từ...
sentry-instrumentation
langfuse
Decide whether and how errors report to Sentry. Use when touching capture or error-handling paths in `web/**`, triaging Sentry noise, or changing Sentry…
posthog-instrumentation
langfuse
Product analytics with posthog. Use when adding a meaningful user action or feature in `web/**`, touching PostHog capture code, or answering product-usage…