「stop」の検索結果

Use when the user mentions GRDB performance review, slow GRDB queries, app-group database setup audit, a ValueObservation that stopped updating, or pre-release GRDB scan.

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。

Implement AlarmKit alarms and countdown timers for iOS and iPadOS with Lock Screen, Dynamic Island, StandBy, and paired Apple Watch system UI. Covers AlarmManager scheduling, AlarmAttributes and AlarmPresentation, system Stop and AlarmButton secondary actions, authorization, state observation, countdown widget-extension handoff, and Live Activity integration. Use when building wake-up alarms, countdown timers, or alarm-style alerts that need Apple's system alarm experience.

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 Viking web projects, start and verify a local preview, or deploy a generated project to Volcengine IGA Pages when explicitly requested. Includes agent-guided feature, eligible application, dataset, scene, and authentication choices. Use only after confirming the installed CLI exposes `vs project`; otherwise stop without taking action.

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。

Design and validate digital filters in MATLAB. Use when cleaning up noisy signals, removing interference, filtering signals, designing FIR/IIR filters (lowpass/highpass/bandpass/bandstop/notch), or comparing filters in Filter Analyzer.

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。

Launch and supervise Claude Code or Codex through the CCAM Run API. Use when the user wants to start a monitored agent, select a model, approval policy, sandbox, or working directory, send a follow-up, inspect live output, resume a native session, or stop a dashboard-launched run.

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, transform, audit, and migrate prompts for GPT-5.6 Sol using outcome-first contracts, explicit success criteria, evidence and tool rules, approval boundaries, output requirements, and stop conditions. Use when someone asks for a GPT-5.6 prompt, wants an existing prompt optimized for GPT-5.6, or needs a prompt stack adapted from an older model.

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 the user wants to enable, disable, turn on or off, opt out of, opt in to, or check the status of pcf telemetry or its usage data. Triggers: "disable telemetry", "turn off telemetry", "opt out of telemetry", "stop collecting usage data", "enable telemetry", "telemetry status".

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 the user wants to enable, disable, turn on or off, opt out of, opt in to, or check the status of power-pages telemetry or its usage data. Triggers: "disable telemetry", "turn off telemetry", "opt out of telemetry", "stop collecting usage data", "enable telemetry", "telemetry status".

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。

Assemble the final `.ppmplugin` binary bundle for a PAM native extension and verify its contents. First **reconciles** the manifest's declared `entrypoints` against the binaries actually staged — if the manifest declares a platform with no built binary it gates (build it / ship without it / stop) rather than shipping a broken bundle. Then re-runs the plugin's upload-compatibility checks on the reconciled manifest, zips the manifest plus whichever of `android/<PascalName>Plugin.dex` and `ios/<PascalName>Plugin.framework/` are present into `ppmplugin/<name>.ppmplugin`, and verifies the archive layout with `jar tf` (exactly the manifest + the shipped binaries — nothing missing, nothing extra). Output: a statically verified `.ppmplugin` file on disk. Prereqs: `jar` (JDK). Run after /generate-ppmplugin-manifest and the build skill(s).

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 the user wants to enable, disable, turn on or off, opt out of, opt in to, or check the status of power-automate telemetry / usage data. Triggers: "disable telemetry", "turn off telemetry", "opt out of telemetry", "stop collecting usage data", "enable telemetry", "telemetry status".

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 verify a third-party `.ppmplugin` end to end. This recommended entry point detects Android and iOS source, confirms target platforms, then invokes the manifest, platform build, assemble, and audit stages in order. Advanced users can invoke a stage directly for focused reruns or debugging. Produces a native-only bundle (`manifest.json` plus an Android DEX and/or iOS framework) and stops on any failed stage rather than emitting an unverified partial build. Run after the native module exists.

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 the user wants to enable, disable, turn on or off, opt out of, opt in to, or check the status of model-apps telemetry or its usage data. Triggers: "disable telemetry", "turn off telemetry", "opt out of telemetry", "stop collecting usage data", "enable telemetry", "telemetry status".

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 the user wants to enable, disable, turn on or off, opt out of, opt in to, or check the status of mobile-app usage data. Triggers: "disable telemetry", "turn off telemetry", "opt out of telemetry", "stop collecting usage data", "enable telemetry", "telemetry status".

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 making or fixing particle effects and game feel in Godot 4.7: GPUParticles3D or GPUParticles2D explosion, fireball projectile with trail, impact, sparks, smoke, shockwave, ribbon trails, sub-emitters, particle collision, color curve does nothing, particles pop out or vanish, effect too heavy on mobile, CPUParticles fallback for Compatibility or web, overdraw, hit-stop, freeze frame, screen shake, juice.

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 building a 2D game in Unity 6.3 URP: pixel-art or HD sprite import and PPU, sprite atlases, Tilemaps, Rule Tiles and reskins, the 2D Renderer and 2D lights with normal maps, 2D animation, a platformer or top-down controller ("make a platformer controller that feels good", coyote time, jump buffer, one-way platforms, spikes), Pixel Perfect Camera, a follow or room camera, hit stop and screen shake; or when pixel art looks blurry or shimmers, tiles show seams, 2D lights do nothing or cost too much, the jump feels floaty, or the camera loses the player when falling.

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 generated assets must keep a consistent style, character, or product look and references stop scaling, or when a user asks to train a custom model through the Scenario MCP, fine-tune a LoRA, clone a voice, curate a training dataset, choose a base model, set epochs and sample prompts, estimate training cost, diagnose a trained model that lost its identity or has one epoch, or generate with a trained model. Keywords: custom model, LoRA, dataset curation, epoch previews.

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 one look must hold across Scenario generations: one character across scenes, a turnaround, or a video animated from its references, one product across angles, one style across icon sets, a character from an uploaded drawing, a variant off an approved baseline, or deciding when references stop scaling and a trained model is due. Triggers: make this match, same character, on-model, reference to video, style reference. Keywords: consistency, identity, control map, seed, LoRA.

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。

Histopathology image preprocessing and analysis pipeline

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。

Plan an A/B test by script: sample size per variant, days to run, stopping rules. "how many visitors per variant"

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。

La compétence Normalisation juridique FR nettoie un document Word rédigé en français juridique. Elle distingue deux régimes : les corrections déterministes (apostrophes courbes, guillemets français, espaces insécables, insécables des références — art. 1240, n° 21-12.345, 50 % —, ordinaux 1ère → 1re, ligatures œ, la loi dispose et non stipule, anglicismes-calques), appliquées directement ; et les réécritures de jugement (virgule avant « et », ternaires creux, formules emphatiques, harmonisations), posées en révisions Word soumises à votre acceptation. Chaque changement est consigné et restitué en tableau récapitulatif : on revient en arrière mot à mot — « défais 3, 7-10 ». La normalisation des citations reste purement formelle. Fonctionne en Cowork ou sur fichier Word.

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-flight privilege and work-product check for legal AI prompts. Use when the user is about to send legal content to a third-party AI surface (ChatGPT, Claude.ai, Copilot, Gemini, etc.) and wants to know whether the prompt risks blowing attorney-client privilege or work-product protection. Returns a SAFE/CAUTION/STOP band with cited factors, a discovery-impact line, and a redacted-safe rewrite.

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 any OFAC or OFSI enforcement action — by URL, pasted text, or uploaded document — and produce a structured root cause analysis as a formatted Excel (.xlsx) spreadsheet. Use this skill whenever a user names, links to, pastes, or uploads an OFAC or OFSI enforcement action and asks for any of the following: root cause analysis, compliance gaps, what went wrong, lessons learned, organizational self-assessment, or remediation planning. Also trigger when a user asks "analyze this enforcement action", "what were the root causes", "turn this into a checklist", or "how do I make sure this doesn't happen to us". Outputs a single-sheet .xlsx table with six columns: Root Cause | What Went Wrong | How It Went Wrong | What Could Have Stopped It | Is my organization immune to this? (Yes/No/Partial) | Notes.

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 one primary CTA feel premium: a soft band of light sweeps across it (slowly at rest, faster on hover). Reserve for the single primary button; keep it subtle. Pure CSS; the sweep stops (solid button) under prefers-reduced-motion. Do not use on secondary/destructive buttons or many at once.

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。

Manage LlamaFarm worktrees for isolated parallel development. Create, start, stop, and clean up worktrees.

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。