「iso」の検索結果

Use when adding, modifying, or debugging Handsontable performance test scenarios in performance-tests/ - covers the CDP trace-based measurement system, scenario structure (fixture + config + spec), trace-parser integration, hook timing for filtering/sorting, golden snapshot workflow on GitHub Pages, and the CI comparison pipeline. Trigger whenever work touches performance-tests/ files, when asked to benchmark a Handsontable feature, or when adding a new performance scenario.

日本語の概要は準備中です。原文の説明を表示しています。

Searches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI/Gemini, Android, Chrome, Web, Flutter, Go, Firebase, and other Google developer platforms. Integrates with the Developer Knowledge MCP server (search_documents, get_documents, answer_query) or the Developer Knowledge REST API fallback. Use when searching for gcloud CLI commands, API syntax, IAM permissions, official documentation, architectural comparisons, or product choice overviews. Don't use for local filesystem lookups or non-Google documentation.

日本語の概要は準備中です。原文の説明を表示しています。

Audits Filestore instances on Google Cloud across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0 exposure, missing ROOT_SQUASH), and reliability compliance (Physical Zone Isolation PZI and Physical Zone Separation PZS). Use when assessing storage health posture, auditing NFS export permissions, identifying unprotected file shares, or validating zone failure domains. Don't use for Cloud Storage buckets, Persistent Disk, or NetApp Volumes.

日本語の概要は準備中です。原文の説明を表示しています。

Discovers golden base images for creating GKE custom node images based on technical specifications or context clues. Use when finding the golden base image for custom GKE node creation, mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image names, or querying GKE base image maps. Don't use for general GKE cluster creation (use gke-cluster-creation) or standard node pool management (use gke-basics).

日本語の概要は準備中です。原文の説明を表示しています。

Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit tools), Binary Authorization, Secrets Encryption (--database-encryption-key), Security Posture (--security-posture), enabling Shielded Nodes, GKE Sandbox cluster enablement, GKE IAM roles, and cross-service authentication IAM patterns. Use when securing cluster control planes, hardening GKE RBAC, enabling Shielded Nodes, enabling GKE Sandbox runtime, enabling cluster-wide security add-ons, or managing GKE IAM roles. Don't use for Workload Identity (use gke-workload-identity) or workload-level security (SecretProviderClass, PSS, NetPol, gVisor pod runtimeClassName; use gke-workload-security).

日本語の概要は準備中です。原文の説明を表示しています。

Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps. Don't use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).

日本語の概要は準備中です。原文の説明を表示しています。

Make an engineering drawing of a part as a PDF - orthographic views with hidden lines and centre marks, real dimensions, hole callouts, notes and a title block on ISO sheets, all projected from the part's geometry so the drawing follows the model. Use when the user asks for a drawing, a dimensioned sheet, shop or manufacturing drawings, a print, or "2D views of this part".

日本語の概要は準備中です。原文の説明を表示しています。

Generative UI for Kortix: the agent writes typed UI blocks (cards, comparisons, charts, maps, tabs) in OpenUI Lang inside its replies, and web, mobile, and SDK hosts render them through `@kortix/sdk/genui`. Load WHENEVER you design, build, review, or debug generative UI, the `openui` code fence, the `genui` project flag, the genui prompt instructions, a genui component, or the `@kortix/sdk/genui` or `/genui/react` subpaths.

日本語の概要は準備中です。原文の説明を表示しています。

The project's episodic memory: a timestamped ledger of rules paid for with real outages and near-misses, one entry per incident. Load WHENEVER you write or review a DB migration or schema change, touch deploy/release workflows (.github/workflows/deploy-*, promote.yml, vercel config), plan a promote/release, respond to a prod incident, or when another skill references a learning. ALSO load after resolving any incident or near-miss: it must leave a new ledger entry in the same session.

日本語の概要は準備中です。原文の説明を表示しています。

Weekly reusable-session feature-flag cleanup for {{target_repo}}. Inventories every feature flag, classifies each as fully rolled out, long dead, partial rollout, or active experiment, removes the flag and the dead branch it guards on an isolated branch when the suite is green, and opens a PR — never touching a flag still mid-rollout.

日本語の概要は準備中です。原文の説明を表示しています。

Route code, repository, and data/SQL work to isolated Kortix sessions instead of burning your main context on it. Use when asked to implement a feature, fix a bug, make failing tests pass, work a ticket/issue, refactor, navigate or change a codebase, ship a PR, review a pull request, or run SQL/warehouse analysis against a dataset — and when the user wants two agents or parallel reviewers/investigators on the same work. Covers the explore-vs-session routing call, deciding where the code lives (this project's repo vs cloning an external GitHub repo) or where the data lives, finding the repo with gh, spawning sessions in parallel, dual PR reviews, and reporting results back. Triggers: 'implement', 'fix the bug', 'make the tests pass', 'work this ticket', 'refactor this', 'open a PR', 'review this PR', 'run two agents on it', 'query the warehouse', 'analyze this dataset'.

日本語の概要は準備中です。原文の説明を表示しています。

Weekly reusable-session content-refresh loop for {{target_repo}}. Reads Google Search Console for {{site_url}} to find pages under {{content_path}} losing impressions and clicks, rotates coverage using a durable ledger, refreshes copy/stats/internal links on an isolated branch, and opens a PR only — never publishing or merging.

日本語の概要は準備中です。原文の説明を表示しています。

Weekly dependency upgrade loop for {{target_repo}}. Scans for outdated packages, applies upgrades on an isolated branch, runs the full verification suite in the sandbox, handles breaking changes with documented migrations, and opens a PR only when everything is green.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluates an ML GPU cluster for a cloud trial or acceptance test: environment dump, isolated newest PyTorch, matmul FLOPS (MAMF/MSMF) on every GPU while the others compute, intra-node all-reduce bandwidth and per-call latency of every collective, the same inter-node on every node you were given (omit those sections if there is only one node), fio on local disk and shared FS, dated markdown report. Use when the user asks to evaluate a cluster, kick the tires on trial nodes, run cluster acceptance, or measure GPU/network/storage. Canonical copy: https://github.com/stas00/ml-engineering/blob/master/skills/evaluate-cluster/SKILL.md

日本語の概要は準備中です。原文の説明を表示しています。

Maps intelligence for local SEO: geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification, competitor radius mapping, and LocalBusiness schema generation. Three tiers: free (Overpass + Geoapify), DataForSEO, and DataForSEO + Google. Use when user says "maps", "geo-grid", "rank tracking", "GBP audit", "review velocity", "competitor radius", or "SoLV".

日本語の概要は準備中です。原文の説明を表示しています。

Ephemeral microVM sandboxes for running untrusted or agent-generated code in isolation — a one-call run path, a create/exec/stop lifecycle, and a set of filesystem operations.

日本語の概要は準備中です。原文の説明を表示しています。

This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated quality assessment.

日本語の概要は準備中です。原文の説明を表示しています。

This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.

日本語の概要は準備中です。原文の説明を表示しています。

This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.

日本語の概要は準備中です。原文の説明を表示しています。

Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh Codex reviewer with no prior context; base output is same-family provisional. Use when user says "审查论文数据", "check paper claims", "verify numbers", "论文数字核对", or before submission to ensure paper-to-evidence fidelity.

日本語の概要は準備中です。原文の説明を表示しています。

Generate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic — formulas with derivations, from-scratch PyTorch code, comparison tables, and 25 高频面试题 (L1 必会 / L2 进阶 / L3 顶级 lab). Use when the user says '写面试 cheat sheet', '写一份 X 教程', '帮我准备 Y 面试题', '出一份 X 速查', or wants a 600-1000 line Chinese tutorial on a specific ML topic.

日本語の概要は準備中です。原文の説明を表示しています。

Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias. Use when user says "审查论文数据", "check paper claims", "verify numbers", "论文数字核对", or before submission to ensure paper-to-evidence fidelity.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

日本語の概要は準備中です。原文の説明を表示しています。

Operate the KubeSphere network extension. Use when Codex needs to install, upgrade, configure, enable, disable, or inspect the `network` extension; manage Calico `IPPool` resources, namespace bindings, migrations, or network isolation flows; or consult the bundled network extension references in this skill.

日本語の概要は準備中です。原文の説明を表示しています。