「perf」の検索結果

Create, implement, or review markdown and mermaid writing work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on markdown and mermaid writing.

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。

Create, implement, or review legacy circuit mockups work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on legacy circuit mockups.

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。

Create, implement, or review json canvas work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on json canvas.

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。

Create, implement, or review gsap framework integrations work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on gsap framework integrations.

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。

Create, implement, or review gsap react work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on gsap react.

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。

Create, implement, or review gsap timeline work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on gsap timeline.

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。

Create, implement, or review gsap plugins work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on gsap plugins.

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。

Create, implement, or review captions overlay work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on captions overlay.

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。

Create, implement, or review excalidraw diagram generator work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on excalidraw diagram generator.

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。

Create, implement, or review cut the curve work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on cut the curve.

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。

Create, implement, or review accessibility review work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on accessibility review.

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。

Create, implement, or review design engineering craft work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on design engineering craft.

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。

Create, implement, or review beautiful article work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on beautiful article.

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。

Internal — for Boundless team members only. Cross-reference Boundless indexer API data, broker telemetry, and service logs to investigate production and staging operational issues. Use when the user wants to understand why slashings happened on prod/staging, diagnose prover or service failures in deployed environments, correlate market events with broker behavior, investigate fulfillment rate drops, look at prover/service logs, or perform any analysis that requires combining on-chain indexer data with off-chain broker telemetry and CloudWatch logs. Also use when the user asks to "investigate", "diagnose", or "find root cause" for prover, service, or market issues on live networks. Do NOT use for debugging local code changes, reviewing PRs, or investigating issues in the codebase itself.

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。

QA test a live website with Firecrawl browser and scrape evidence. Use when the user wants exploratory QA, form testing, navigation/link checks, responsive checks, performance observations, bug reports, or a pre-launch quality review.

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。

Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market research, technical deep-dives, due diligence, or comprehensive analysis on any subject.

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。

CesiumJS primitives and geometry - Primitive, GeometryInstance, Appearance, BufferPrimitive collections, GeoJsonPrimitive, Billboard/Label/PointPrimitive collections, built-in geometry shapes, ground primitives, classification. Use when rendering performance-critical static or vector geometry, loading GeoJSON without entities, creating custom shapes, batching draw calls, or using low-level collections.

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。

CesiumJS spatial math - Cartesian3, Cartographic, Matrix4, Quaternion, Transforms, Ellipsoid, BoundingSphere, projections, coordinate conversions. Use when converting between coordinate systems, computing positions on the ellipsoid, performing spatial intersection tests, building model matrices, or working with geographic projections.

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。

Use this skill when asked to perform any of the following actions in a Java project: - To add jspecify support - To prevent NullPointerExceptions - To better handle Nullability This skill will add jspecify dependency, configure Maven or Gradle build to automatically use jspecify for checking Nullability issues.

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。

Test REST and GraphQL APIs with Playwright APIRequestContext, Supertest, or standalone HTTP clients. Covers schema validation with Zod 4/AJV, auth flow testing, CRUD lifecycle tests, error and header validation, pagination, and performance assertions. Use when: "API test," "endpoint test," "REST test," "GraphQL test," "schema validation," "Postman replacement." Not for: consumer-driven contract verification (Pact, broker) — use contract-testing; browser UI flows — use playwright-automation. Related: contract-testing, test-data-management, ci-cd-integration, playwright-automation.

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。

Scheduled probes that run CONTINUOUSLY after release. Covers probe design for critical user journeys, alerting integration, SLA validation, multi-region monitoring, and the boundary between QA and SRE. Use when: "synthetic monitoring," "uptime testing," "scheduled probes," "SLA validation," "availability monitoring," "post-deploy checks." Not for: safe-release techniques during rollout — use testing-in-production. Not for: designing tests from prod telemetry — use observability-driven-testing. Not for: a one-shot post-deploy smoke gate tied to a release — use release-readiness. Related: testing-in-production, release-readiness, performance-testing, qa-metrics.

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。

Validate system resilience through controlled fault injection. Covers hypothesis-driven chaos experiments, failure injection types (network, service, infrastructure, dependency), LitmusChaos/Chaos Mesh/AWS FIS/Gremlin/toxiproxy tooling, automated abort gating, game day planning, and progressive chaos adoption. Use when: "chaos engineering," "fault injection," "resilience test," "game day," "failure recovery," "system reliability," "blast radius." Not for: safe rollout flags/canary/dark launch during a release — use testing-in-production; designing new tests from production telemetry — use observability-driven-testing. Related: testing-in-production, observability-driven-testing, performance-testing, release-readiness, test-environments.

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。

Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). Covers two workflow patterns: (1) MathWorks-native or 3P-imported models rebuilt as dlnetwork for lean hardware (Cortex-M, DSP), (2) direct C/C++ code generation from PyTorch and LiteRT models for high-performance hardware (Cortex-A, x86, GPU). Trigger when: user wants to deploy AI to embedded targets; generate C/CUDA from neural networks; compress AI models for MCU/DSP; integrate AI in Simulink for system-level simulation; import PyTorch/ONNX/TensorFlow models for embedded deployment; optimize AI for resource-constrained hardware; or use loadPyTorchExportedProgram, importNetworkFromPyTorch, dlquantizer, exportNetworkToSimulink, or Embedded Coder with AI models.

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。

Use when a learner or instructor asks for a report, summary, reflection, progress note, performance recap, activity metrics, instructor-shareable record of a MATLAB AI tutoring session, aggregate report across multiple MATLAB tutoring session reports, or instructor dashboard artifact with metric drilldowns. Supports optional start and end datetime arguments for multi-session report and dashboard ranges.

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。