423 skills · sorted by relevance
Conservative review of end-user legal exposure from diagnostics targets and probe hosts, by jurisdiction. Use when shipping or editing diagnostics target lists, probe hosts, or bootstrap endpoints.
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Compiler-level code intelligence via native LSP — definitions, references, types, call hierarchies, and diagnostics.
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Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics. Don't use for generic VM management or non-observability tasks.
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Adopt declscope on an existing Go codebase and drive its diagnostics to zero. Read this when introducing declscope to a repository, when choosing its configuration, when running declscope shrink for the first time, or when clearing a declscope baseline. Covers sizing each rule before enabling it, reading the diagnostics as structure, the remedy for each shape, and the measurement traps that produce false confidence. For writing new code in a repository that already runs declscope, use declscope-authoring.
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Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.
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Comprehensive regression model diagnostics and assumption checking. Use when validating regression models, checking assumptions (linearity, homoskedasticity, normality, independence), detecting outliers/influence, testing multicollinearity, or when user mentions residuals, heteroskedasticity, VIF, Cook's distance, or diagnostic plots.
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Triage TestFlight crashes, beta feedback, and performance diagnostics using asc. Use when the user asks about TF crashes, TestFlight crash reports, beta tester feedback, app hangs, disk writes, launch diagnostics, or wants a crash summary for a build or app.
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Use when working with error diagnostics smart debug
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Generate MSBuild binary logs (binlogs) for build diagnostics and analysis. Only activate in MSBuild/.NET build context. USE FOR: adding /bl:{} to any dotnet build, test, pack, publish, or restore command to capture a full build execution trace, prerequisite for binlog-failure-analysis and build-perf-diagnostics skills, enabling post-build investigation of errors or performance. Requires MSBuild 17.8+ / .NET 8 SDK+ for {} placeholder; PowerShell needs -bl:{{}}. DO NOT USE FOR: non-MSBuild build systems (npm, Maven, CMake), analyzing an existing binlog (use binlog-failure-analysis instead). INVOKES: shell commands (dotnet build /bl:{}).
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Establish build performance baselines and apply systematic optimization techniques. Only activate in MSBuild/.NET build context. USE FOR: diagnosing slow builds, establishing before/after measurements (cold, warm, no-op scenarios), applying optimization strategies like MSBuild Server, static graph builds, artifacts output, and dependency graph trimming. Start here before diving into build-perf-diagnostics, incremental-build, or build-parallelism. DO NOT USE FOR: non-MSBuild build systems, detailed bottleneck analysis (use build-perf-diagnostics after baselining).
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Triage TestFlight crashes, beta feedback, and performance diagnostics using asc. Use when the user asks about TF crashes, TestFlight crash reports, beta tester feedback, app hangs, disk writes, launch diagnostics, or wants a crash summary for a build or app.
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Collect and analyze on-device performance metrics and crash diagnostics using MetricKit. Use when setting up MXMetricManager, handling MXMetricPayload or MXDiagnosticPayload, processing crash/hang/disk-write diagnostics via MXCallStackTree, adding custom signpost metrics, or uploading telemetry to an analytics backend.
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Triage TestFlight crashes, beta feedback, and performance diagnostics using asc. Use when the user asks about TF crashes, TestFlight crash reports, beta tester feedback, app hangs, disk writes, launch diagnostics, or wants a crash summary for a build or app.
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Kubb (OpenAPI / Swagger コードジェネレーター) リファレンス。 kubb.config.ts、TypeScript 型・TanStack Query フック・Zod・Faker・MSW モック生成プラグイン、 Fetch / Axios / SWR / React Query クライアント、plugin-client (自前クライアント)。 CLI 8 コマンド、拡張レジストリ (kubb add)、Kubb Studio、Kit (kubb/kit)、 parser-ts / parser-md、adapter-oas、diagnostics、プラグインベース、モノレポ対応。 TanStack Query 本体の API は tanstack-query スキル。
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Run installation, integration, and end-to-end tests that follow real user actions in remote environments or Docker. Choose an appropriate isolated environment, inspect failures, record execution details, and clean up resources after testing.
Captures snapshots and short video clips from RTSP/ONVIF network cameras and local webcams. It also covers motion monitoring, camera diagnostics, and pan, tilt, and zoom controls for supported USB cameras.
Evaluate a product idea before development, review signs of market demand, inspect the first-user experience, and rank proposed features. Produce a product brief or prioritized roadmap with risks, reasons, and concrete next steps.
Design and review error handling in TypeScript, Python, and Go applications. Use structured error types, controlled retries, API error responses, and readable failure messages to make failures visible and separate user guidance from developer diagnostics.
Review Home Assistant migration behavior for input validation, configuration preservation, and output that does not overwrite existing files. Check storage schema versions, keep secrets out of diagnostics, and identify incomplete automation or integration behavior.
Set up ruvector@0.3.3 with supporting packages, register its MCP server for agent access, and verify installation with diagnostic commands and smoke tests. Helps prepare the dependencies needed for initial use of /vector subcommands.
Check Ruflo's health and summarize system diagnostics, MCP server state, and active agents. Routine checks leave the installation unchanged; an explicit repair request runs the repair command and reports the resulting changes and status.
Prepare for the MCPA certification through interactive lessons, local Python labs, diagnostic assessments, and mock exams. Track progress, revisit weak domains, and resume learning, with guided support for learners who do not write code.
Prepare for four Claude certification tracks through guided lessons, practical exercises, quizzes, and mock exams. The tutor checks understanding and learner-created work, records progress, and uses assessment results to guide review.
Use language servers, tools that understand code structure, to check errors, locate definitions, and find references in Codex. Check whether a symbol can be renamed and apply the rename across the workspace.