「light」の検索結果

Use when a task needs the judgment of an audiovisual equipment installer/repairer — diagnosing an EDID or HDCP handshake failure between a source and a display, sizing a display's screen size and brightness for a room's viewing distance and ambient light, specifying an HDMI/HDBaseT/AVoIP signal run against its rated distance ceiling, designing conference-room speaker placement and acoustics, or drawing the install-vs-programming boundary with a control-system (Crestron/Extron/AMX) integrator.

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 task needs senior auto-service-technician judgment — diagnosing a check-engine-light or drivability complaint from DTCs and live data, deciding whether a code-named part actually needs replacing or the fault lies upstream, scoping a flat-rate repair order and labor time, choosing warranty vs. customer-pay job costing, or separating a genuinely needed repair from an upsell.

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 task needs the judgment of an ambulance driver/attendant (non-EMT) — deciding emergency-vehicle driving mode, clearing an intersection under lights-and-siren, handling a scheduled inter-facility or discharge transport, securing and lifting a patient on a stretcher/gurney, or responding to time pressure from family or a sending facility to "run it hot."

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。

Dedicated Core Web Vitals deep-dive: pull field data (CrUX / PageSpeed Insights), fall back to Lighthouse lab data, score LCP, INP, and CLS against Google's thresholds at the 75th percentile, and run per-metric diagnosis playbooks with concrete fixes. Use when user says "core web vitals", "CWV", "LCP", "INP", "CLS", "page speed metrics", or "field 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。

Generate images via the Stable Diffusion WebUI / Forge HTTP API (AUTOMATIC1111-compatible `/sdapi/v1/*`). Use when the user wants to (1) discover or pick a model / extra module (TE/VAE) / sampler / scheduler / style preset from a running sd-webui server, (2) generate an image with a given prompt (txt2img), (3) check generation progress, (4) cancel/interrupt an in-flight generation, (5) inspect or change a global sd-webui option (e.g. active checkpoint), or (6) test connectivity. This skill talks to a *generic* sd-webui-compatible server (AUTOMATIC1111, Forge, reForge, sd-webui-forge-classic). Do NOT trigger for requests that are purely writing the prompt 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。

Finding exoplanets — transit and radial-velocity methods, light-curve vetting, and false-positive rejection.

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 3D web experiences: scene setup, models, materials, lighting, animation, scroll-driven scenes, and performance budgets. Use when adding 3D to websites beyond basic demos.

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 3D visuals with modeling, texturing, lighting, rendering, and optimization for web and product.

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。

Control Philips Hue smart lights, rooms, scenes, and devices via the Hue Remote API v2.

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。

Build and deploy Flutter apps to App Store (TestFlight) and Google Play (internal/production). Auto-detects project structure, pulls signing secrets from AWS Secrets Manager, installs certificates, bumps build numbers, and runs Fastlane. Fully autonomous.

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。

Configure a complete iOS App Store publishing pipeline — sets up Fastlane with code signing (match), App Store Connect API key, TestFlight and release lanes, screenshot automation, metadata templates, review compliance checklist, and phased rollout. Use for any iOS or Flutter app ready to submit to the App Store.

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。

Set up mobile CI/CD pipelines for Flutter, React Native, or native iOS/Android — GitHub Actions workflows for testing, code signing, TestFlight/Play Store distribution, build number management, Fastlane integration, and artifact retention

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。

Run a complete mobile app pre-launch verification — chains performance audit, QA testing, OWASP mobile security review, App Store and Play Store compliance checks, and store listing optimization into a single launch-ready report. Use before submitting to TestFlight, App Store, or Google Play.

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。

Run a full pre-launch quality gate before shipping — chains product review, growth audit, UX audit, security scan, and deployment preflight into a go/no-go launch decision. Stops on critical blockers. Use before v1 launch, beta release, major version rollout, or feature launch.

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。

Pre-launch compliance and security gate for fintech apps: audit PCI DSS payment card handling, review financial API integrations for idempotency and error handling, evaluate fraud detection coverage, validate credit risk models for fairness, then run preflight checks.

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。

Ship an app from code to production-ready infrastructure: containerize with Docker and multi-stage builds, set up GitHub Actions CI/CD with automated testing and deployment, add monitoring with health checks and alerting, then run preflight verification..

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 competitors using Blue Ocean Strategy's ERRC Grid and Strategy Canvas (W. Chan Kim and Renee Mauborgne) to identify uncontested market space, not just who is better on the same axes. Produces an ERRC Grid, Strategy Canvas, positioning matrix, messaging comparison, and differentiation map. Use when the user asks for competitive analysis, competitor research, "how do we compare to X", positioning vs competitors, market landscape, "analyze our competition", "where is the blue ocean", or wants to update competitor docs. Writes to knowledge/markets/competitors.md. For a lightweight competitor summary in the knowledge base, see brand-context. For positioning against them, see positioning-doc.

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。

Transform reference photographs and visually dense images into sparse, recognizable, high-saturation flat-vector-style illustrations through semantic compression rather than literal tracing. Use when the user asks for photo-to-flat illustration, photo-to-vector-style redraw, 照片转扁平插画, 无渐变高饱和插画, iconification, visual simplification, composition-preserving abstraction, a consistent minimal illustration set, or revisions that remove gradients, glow, texture, blur, clutter, text, logos, numbers, or UI. Default to human-perceived semantic complexity 6 out of 10 or lower, fixed-HSB solid fills, crisp boundaries, and no gradients or light-halo effects.

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。

**WORKFLOW SKILL** — Risk awareness before action. USE FOR: assessing risks (security, data integrity, compatibility, operational, reversibility) of any task at variable depth. Accepts weight: Light (quick scan), Standard (dimensional analysis), Deep (full Risk Radar with evidence). Can be invoked multiple times in the same flow with increasing weight. DO NOT USE FOR: penetration testing, compliance audits, static security analysis tools.

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。

**WORKFLOW SKILL** — Persist analysis so it survives context compression and chains between tasks. USE FOR: any task whose decisions affect future work — features, refactors, architecture changes, integrations. Produces a lightweight Task Analysis Map that externalizes intent, decisions, and chain context. Use to document decisions, create continuity, prevent context loss, bridge tasks, externalize reasoning. DO NOT USE FOR: quick intent validation (use task-intent), deep structured analysis (use contextação).

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 TikTok/Shorts-style karaoke captions using MLX Whisper, ASS subtitles, and FFmpeg libass. Use when burning word-level highlight captions into a video, matching caption style from a screenshot, rendering ASS karaoke subtitles, or when the user runs /karaoke-captions.

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。

Read and control Aqara smart home devices: plugs, switches, lights, AC, locks, curtains, scenes. Trigger phrases: aqara, aqara hub, aqara lock, aqara curtain.

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。

Audit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools. Exclude AI citability and brand signals (seo-geo) and commerce protocol depth (seo-ecommerce).

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。

Explain, draft, or validate Obsidian Flavored Markdown syntax: properties, wikilinks, embeds, callouts, tags, comments, highlights, block references, math, and Mermaid. Use when the user explicitly requests Obsidian note formatting or syntax help, not for general Markdown or broad vault 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。