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「vin」の検索結果

5,983 件 ・ 関連度順

概要と使いどころ

Build and maintain one global mathematical symbol and unit table from the problem frame and active method cards, resolving cross-subquestion conflicts before code or paper work.

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。

zhnnky329/MathModeling-skills1,0592026年9月24日 更新

Review, run, debug, and verify approved Python modeling code against its code plan, data contract, method decision, risk conditions, and experiment outputs, saving one compact JSON 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。

zhnnky329/MathModeling-skills1,0592026年9月24日 更新

pbir-cli

無料

This skill should be used whenever the user mentions "pbir", "pbir-cli", "Power BI reports", or "PBI reports", works with .pbir, .pbip, or .pbix files, or wants to refresh, screenshot, or visually verify a report that is open in Power BI Desktop. Covers creating, exploring, formatting, validating, and publishing Power BI reports through the pbir CLI and object model, plus driving Power BI Desktop (canvas reload, page screenshots) and querying connected or local semantic 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。

data-goblin/power-bi-agentic-development1,0542026年10月15日 更新

Use when changing an existing ChatGPT pet or Codex pet sprite sheet with Scenario: fixing a broken row, frame, jump or edge, regenerating one animation state, adding the sixteen look directions to a 1536x1872 v1 sheet, giving the pet a new outfit, color or accessory, renaming it in its pet.json, or checking a pet sheet and previewing it as an animated GIF.

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。

scenario-labs/skills1,0442026年10月17日 更新

Use when making a trailer, cutscene, cinematic or short film in Unreal Engine 5.8 with Sequencer: shot lists, master and shot sequences, cameras, lenses, depth of field, camera cuts, spawnables, character animation in shots, per-shot lighting, Movie Render Graph or Movie Render Queue EXR renders, "render darker than the viewport", "first frames pop", "last frame missing", ACES or OCIO to DaVinci Resolve, the 180-degree rule, Sequencer Python, or reviewing a cut.

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。

scenario-labs/skills1,0442026年10月17日 更新

Use when an Unreal Engine 5.8 project misses its frame rate or stutters: "optimize to 60 fps", "we run at 38 fps", CPU or GPU bound, game or render thread too long, hitches, traversal or shader stutter (PSO), GC spikes, camera-cut spikes, Lumen, Nanite, VSM, ray tracing, foliage, crowds or Niagara too expensive, async compute, stat unit, ProfileGPU, Unreal Insights, TraceQuery, snapshothitches, scalability and device profiles, dynamic resolution and TSR, streaming budgets, or proving a fix with before and after captures.

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。

scenario-labs/skills1,0442026年10月17日 更新

Use when a Unity 6.3 game is slow or stutters: low fps, frame spikes, hitches when entering areas or on first effects, GC spikes, too many draw calls or SetPass calls, CPU vs GPU bound questions, Profiler, Profile Analyzer, Memory Profiler, Frame Debugger or Project Auditor work, GPU Resident Drawer or SRP Batcher setup, LOD and Mesh LOD, shader warm-up and variants, memory or VRAM budgets, IL2CPP and build size, or proving a fix with numbers from a player.

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。

scenario-labs/skills1,0442026年10月17日 更新

Use when administering a Scenario team from an agent through MCP: restricting which models a team or project can run (model access control, allowlist, blocklist), inviting or removing team and project members, changing roles, capping a member's Creative Unit spend, auditing API keys and their roles or scopes, or attributing consumption per user or model. Keywords: governance, model control, consumption cap, spend limit, API key hygiene, team admin, enterprise.

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。

scenario-labs/skills1,0442026年10月17日 更新

Use when a task involves running a Scenario workflow through MCP, including anything the user calls a Scenario app, a saved pipeline, or a multi-step generation graph. Triggers include listing workflows, building workflow_run's inputs object, pricing a run with a dry run, approving or rejecting a stuck approval node, a run rejected for input length, or a workflows_list reply flooding the context. Creating or editing graphs is scenario-workflow-authoring. Keywords: workflow, app, approval gate.

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。

scenario-labs/skills1,0442026年10月17日 更新

Use when generating or editing images with Seedream models on Scenario via MCP: text-to-image, image-to-image editing with reference images, posters or packaging with exact in-image text (non-Latin scripts too), subject-preserving edits, sets of related images in one run, editing a transparent asset without losing its alpha, or splitting an image into transparent PNG layers with Layerize. Keywords: Seedream 5.0 Pro, Lite, Flash, 4.5, Layerize, ByteDance, txt2img, img2img, layer extraction.

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。

scenario-labs/skills1,0442026年10月17日 更新

Use when generating or editing video with Luma Ray models on Scenario via MCP: cinematic text-to-video, image-to-video from a start frame, start plus end frame anchors, seamless looping clips, HDR output, restyling footage while preserving motion with edit strengths and face, pose, depth, or trajectory controls, reframing to another aspect ratio by outpainting, or budget prompt edits on real footage. Keywords: Luma, Dream Machine, Ray 3.2, Ray 3, Modify Video, Reframe, T2V, I2V, V2V, loop, HDR.

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。

scenario-labs/skills1,0442026年10月17日 更新

Use when generating or editing video with Kling models on Scenario via MCP: text-to-video, image-to-video with first and last frames, multi-shot sequences with per-shot prompts, consistent characters via elements and reference images, prompt-based video editing, motion transfer from a driving video (motion control, mocap), lipsync to audio or text, talking avatars, native audio and dialogue, or picking 720p, 1080p, or 4K tiers. Keywords: Kling V3, O1, 2.6, Omni, Kuaishou, T2V, I2V, V2V.

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。

scenario-labs/skills1,0442026年10月17日 更新

Rebuild or restyle editable Microsoft Visio diagrams from reference images and existing .vsdx files, then export deliverables as .vsdx, PNG, SVG, PDF, or PPTX. Use when the user asks Codex to open Visio, recreate a diagram from a PNG/JPG/screenshot/reference image, match a scientific model figure, update colors/typography/layout in a .vsdx, calibrate panel coordinates to avoid shifted or overlapping submodules, or make publication/presentation outputs while preserving Visio native editable shapes rather than embedding the reference image as a flat picture.

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。

pengjunchi0/codex-visio-paper-figure-skill1,0442026年8月16日 更新

Build responsive, mobile-first layouts using fluid containers, flexible units, media queries, and touch-friendly design that works across all screen sizes. Use this skill when creating or modifying UI layouts, responsive grids, breakpoint styles, mobile navigation, or any interface that needs to adapt to different screen sizes. Apply when working with responsive CSS, media queries, viewport settings, flexbox/grid layouts, mobile-first styling, breakpoint definitions (mobile, tablet, desktop), touch target sizing, relative units (rem, em, %), image optimization for different screens, or testing layouts across multiple devices. Use for any task involving multi-device support, responsive design patterns, or adaptive layouts.

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。

am-will/codex-skills1,0372026年7月15日 更新

Use when updating this codex-app Linux port from the latest upstream Codex Mac DMG, preserving local Linux patches, installing the refreshed desktop app, and publishing the tag-driven Linux release artifacts.

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。

am-will/codex-skills1,0372026年7月15日 更新

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

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。

am-will/codex-skills1,0372026年7月15日 更新

Use when working with icons in any project. Provides CLI for searching 200+ icon libraries (Iconify) and retrieving SVGs. Commands: `better-icons search <query>` to find icons, `better-icons get <id>` to get SVG. Also available as MCP server for AI agents.

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。

dtsola/xiaoyaosearch1,0362026年10月2日 更新

Inspects and configures the web application firewall (WAF) in front of a Power Pages production site. Lists the current state, recommends enabling protection when it is off, and walks the user through adding, updating, or removing custom rules — IP blocks, country blocks, path blocks, and rate limits. Use when the user wants to turn on WAF, block traffic by IP or country, rate-limit login or signup pages, protect pages from brute-force attempts, restrict access to specific paths, review the current firewall configuration, or asks "is my site protected against bots / common web attacks?" — even if they say "add rate limit" or "protect login page" without mentioning "firewall" or "WAF".

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。

microsoft/power-platform-skills1,0172026年10月18日 更新

Validate, reconcile to the chosen target(s), and stage the `manifest.json` for a `.ppmplugin` bundle. In the normal flow the committed `./manifest.json` already exists (authored by /generate-native-extension), so this stage reads it, runs the plugin's upload-compatibility checks locally as a pre-flight gate (name regex, canonical prefix, known incompatible names, method and identifier shapes), reconciles `entrypoints` down to the platform(s) you ship, and writes the gitignored staged copy `ppmplugin/staging/manifest.json` that /assemble-ppmplugin zips. If no committed manifest exists (a hand-authored module) it falls back to deriving every field from the class name and Android module source, writing both the committed file and the staged copy. No toolchain — pure read, validate, write. Target-aware. Run after the native module exists, before the build skills.

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。

microsoft/power-platform-skills1,0172026年10月18日 更新

Create premium hand-drawn architecture and process diagrams in the Lanshu animated GIF style, with editable .excalidraw files, static PNG previews, and genuinely animated GIFs with moving flow highlights. Use this skill whenever the user asks for 岚叔动态架构图, Excalidraw-like diagrams, DailyDoseOfDS-style black-background sketches, animated architecture/process GIFs, polished flowcharts, visual explanations of articles or system designs, or asks to replicate or improve a reference diagram with hand-drawn animated 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。

cclank/lanshu-animated-architecture-diagram9992026年9月3日 更新

Comprehensive testing strategy involving Unit, Integration, Hilt, and Screenshot tests.

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。

new-silvermoon/awesome-android-agent-skills9802026年7月28日 更新

grill-me

無料

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

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。

RobMitt/grill-me-skill9782026年4月12日 更新

Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The discipline of moving from raw discovery data to clear product direction without losing signal in the synthesis or fabricating insight that was not actually there. Triggers on research synthesis, customer interview synthesis, user research analysis, discovery readout, research insights, sales call analysis, support ticket analysis, qualitative data analysis. Also triggers when a team has done research but cannot turn it into decisions, when synthesis is producing pretty decks but no roadmap movement, or when an upcoming PM decision needs to be grounded in research already conducted.

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。

rampstackco/claude-skills9722026年10月18日 更新

Design forms that convert, validate well, resist spam, and integrate cleanly with downstream systems. Use this skill when designing or auditing any form (contact, signup, checkout, multi-step, embedded), planning validation logic, fighting spam, choosing form tooling, or improving form conversion. Triggers on form design, form validation, form conversion, multi-step form, form spam, captcha, honeypot, form abandonment, signup form, contact form. Also triggers when form completion rates are low or spam is overwhelming.

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。

rampstackco/claude-skills9722026年10月18日 更新