interview-me
78Clarify User Intent Before You Build
Underspecified requests cause teams to build the wrong outcome and discover misalignment late. This skill runs a focused, one-question interview that turns ambiguity into confirmed intent.
Instrument Production Systems with Clear Telemetry
Production teams need reliable evidence when services fail, slow down, or behave unexpectedly. This skill helps design useful logs, metrics, traces, alerts, and verification steps.
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "observability-and-instrumentation" from https://skillstore.io/skills/addyosmani-observability-and-instrumentation.md and its manifest at https://skillstore.io/api/skills/addyosmani-observability-and-instrumentation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
「observability-and-instrumentation」を使用しています。 A payment retry feature needs telemetry for success rate, permanent failures, and provider latency.
期待される結果:
「observability-and-instrumentation」を使用しています。 A team wants to page on CPU usage and label metrics with customer IDs.
期待される結果:
Use user-facing error rate or latency for paging, and move customer identifiers to logs or traces. Keep metric labels bounded.
「observability-and-instrumentation」を使用しています。 A service has alerts but no runbooks or staging verification.
期待される結果:
All 41 static findings are false positives caused by Markdown backticks, documentation syntax, benign example code, or a relative reference. The reviewed skill contains no executable commands, credential exfiltration, unsafe file access, or prompt injection.
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
https://skillstore.io/skills/addyosmani-observability-and-instrumentation/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/addyosmani-observability-and-instrumentation?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/addyosmani-observability-and-instrumentation?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/addyosmani-observability-and-instrumentation/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/addyosmani-observability-and-instrumentation.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>addyosmani. (2026). observability-and-instrumentation security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/addyosmani-observability-and-instrumentation/audits/2@techreport{addyosmani-addyosmani-observability-and-instrumentation-2026,
author = {addyosmani},
title = {observability-and-instrumentation security audit report (audit version 2)},
institution = {Skillstore},
year = {2026},
number = {2},
url = {https://skillstore.io/skills/addyosmani-observability-and-instrumentation/audits/2},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "observability-and-instrumentation security audit report (audit version 2)"
version: "unspecified"
type: report
authors:
- name: "addyosmani"
date-released: "2026-09-19"
url: "https://skillstore.io/skills/addyosmani-observability-and-instrumentation/audits/2"
identifiers:
- type: other
value: "skillstore:addyosmani-observability-and-instrumentation:audit:2"
description: "Skillstore immutable audit report identifier"
Define the endpoint questions, add structured logs, and select RED metrics with bounded labels.
Add correlation IDs, distributed tracing, and actionable alerts so on-call engineers can follow a failing request.
Use the verification checklist to assess telemetry coverage, secret handling, alert quality, and staging validation.
Review this feature description and list two to four questions an on-call engineer must answer. Map each question to a log, metric, or trace.
Design structured log events for this endpoint. Include stable event names, safe fields, log levels, correlation IDs, and entry-point attribution.
Create an observability plan for this service and its dependencies. Cover RED metrics, bounded labels, OpenTelemetry traces, sampling, and symptom-based alerts.
Review this instrumentation diff against the observability checklist. Identify missing signals, cardinality risks, sensitive data exposure, alert weaknesses, and staging tests.
作成者
addyosmaniライセンス
MIT
Skillstore リビジョン
r2
バージョンに関する注意
作者はバージョンを宣言していません。
参照
5d5054f8a23586f9b500fece1cb613a9dffc787b
メンテナンスの新しさ
2026/9/19
利用状況
1 ダウンロード · 0 閲覧
ファイル構成
📄 SKILL.md
Clarify User Intent Before You Build
Underspecified requests cause teams to build the wrong outcome and discover misalignment late. This skill runs a focused, one-question interview that turns ambiguity into confirmed intent.
依五大品質面向審查程式碼
程式碼變更可能隱藏正確性、安全性、架構、可讀性與效能問題。此 skill 採用結構化的審查流程,並產出依優先順序排列且可採取行動的意見。
Plan Work Into Verifiable Tasks
Large or vague software work can hide dependencies, missing acceptance criteria, and verification gaps. This skill converts a specification into ordered task slices with checkpoints, scope guidance, and clear completion conditions.
Document Decisions and Architecture Clearly
Teams lose context when important technical decisions remain in chat, code comments, or individual memory. This skill turns architectural reasoning, API guidance, project instructions, and release changes into structured documentation.
Build Accessible, Production-Ready Frontends
Frontend work can become inconsistent, inaccessible, or difficult to maintain. This skill guides component architecture, responsive layouts, state handling, and polished user experiences.
Discover and Apply Agent Skills
Teams often lose time choosing the right workflow for a software task. This skill maps task context to focused agent skills and a practical development sequence.
新增 Python 可觀測性模式
作成者 0xDarkMatter
Python 服務通常缺乏一致的記錄、指標和追蹤模式。此技能為生產應用程式提供實用的 structlog、Prometheus 和 OpenTelemetry 範例。
使用 Span 指引追蹤 MEV 延遲
作成者 BarisSozen
MEV 系統中的延遲問題很難跨呼叫與交易階段隔離。此技能會指引 span 階層、檢測配置、彙總與警示閾值。
使用 Application Insights 為 Azure 應用程式加入檢測
作成者 microsoft
要在不同框架與部署模型中,為託管於 Azure 的應用程式加入可靠的遙測可能很困難。此技能提供精簡的 Application Insights 設定指引、SDK 參考資料,以及 Azure 設定模式。
透過引導式步驟部署 Kubernetes 工作負載
作成者 sickn33
Kubernetes 發布需要多個相互協調的產物與檢查。此技能會引導容器準備、manifests、Helm charts、服務網格、安全性、可觀測性與部署驗證。
更快速排解 DevOps 事件
作成者 sickn33
正式環境事件需要在日誌、指標、追蹤和雲端平台之間快速分流。此技能會引導結構化的 DevOps 偵錯、根本原因分析與復原規劃。
最佳化應用程式效能
作成者 sickn33
緩慢的系統會傷害使用者體驗、可靠性與雲端成本。此技能可協助診斷瓶頸、設計測試,並規劃可量測的最佳化。