「asset」の検索結果

Use Metalint in .NET repositories that ship Node-based frontend assets and want one CLI entrypoint over several underlying linters. USE FOR: unified frontend lint commands; combined ESLint, Stylelint, HTMLHint, or similar checks; CI orchestration over multiple frontend linters. DO NOT USE FOR: simple repos where Biome already covers the required surface; teams that have not decided which underlying linters own each file type. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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Use Biome in .NET repositories that ship Node-based frontend assets and want a fast combined formatter-linter-import organizer for JavaScript, TypeScript, CSS, JSON, GraphQL, or HTML. USE FOR: biome.json or @biomejs/biome setup; fast frontend formatting and linting; replacing overlapping frontend style tools deliberately. DO NOT USE FOR: ESLint-only plugin coverage; runtime site audits such as headers, accessibility, or browser behavior. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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 ESLint in .NET repositories that ship JavaScript, TypeScript, React, or other Node-based frontend assets. USE FOR: the repo has package.json, eslint.config.*, .eslintrc*, tsconfig.json, or JS/TS/React frontend files; the user asks for JavaScript or TypeScript linting, React rule. DO NOT USE FOR: CSS ownership by itself; route that to stylelint; HTML-only checks on static output; route that to htmlhint. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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MUST read before generating images. Prompt-crafting guide for gpt-image-2.5 covering tool routing (native image_generation server tool vs the generate_image tool), model and quality selection, prompt structure, exact text rendering, reference-image editing, transparent assets, output formats, and multi-turn refinement.

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。

Document column-level mappings between source and target schemas. Use when integrating data from multiple systems, designing ETL transformations, or documenting how raw fields become analytical assets.

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Comprehensive data quality assessment against business rules, schema constraints, and freshness expectations. Activate when validating data pipeline outputs before production use, auditing a dataset against defined business rules, or producing a quality scorecard for a data asset.

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 standardized metadata for data assets. Use when documenting new datasets, building data catalogs, improving data discoverability, or creating data dictionaries for teams.

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。

检测并治理可观测资产漂移、增量更新与质量问题，输出资产登记与治理报告。

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ByteHouse 数据资产和血缘分析 Skill。直接通过 clickhouse-connect 查询 system.tables / system.columns，抓取指定数据库的表结构、字段、引擎等元数据，生成数据资产目录、自动打标签，并识别 Distributed/Local 之间的血缘关系与列相似性。当用户提到 "ByteHouse 数据资产"、"数据资产盘点"、"表结构分析"、"血缘分析"、"字段分析"、"表引擎分布"、"元数据目录" 等诉求时使用本 Skill。

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Direct and produce Chinese-first cinematic motion videos with HyperFrames. Use this skill when the user wants a rendered promo film, article-to-video piece, product launch film, website-to-video piece, keynote reveal, kinetic typography sequence, text/icon transition promo, music-synced motion graphic, HTML/CSS/SVG/GSAP video, short-form vertical video, or a landing page/product story turned into motion. Default to Simplified Chinese, vertical 9:16, and 1080x1920 unless the user or platform clearly requires another format. The skill enforces a two-phase workflow: brief first, confirmation second, then assets, composition, validation, snapshots, render, and review report.

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Use when you need to install the embedded robot agents into .github/agents, .claude/agents, .cursor/agents, or .codex/agents, selecting the destination interactively and copying the embedded agent definitions from project assets. This should trigger for requests such as Install embedded agents; Bootstrap .github/agents; Bootstrap .cursor/agents; Bootstrap .claude/agents; Bootstrap .codex/agents; Copy robot agents. Part of Plinth Toolkit

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 you need to install the embedded project commands into command directories (.github/commands, .claude/commands, .cursor/command, .codex/commands), selecting the destination interactively and copying the embedded command definitions from project assets. This should trigger for requests such as Install embedded commands; Bootstrap .cursor/command; Bootstrap .claude/commands; Copy project commands; Install project command suite. Part of Plinth Toolkit

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Use the official Higgsfield CLI or its Blender integration to discover models, generate requested assets and resume recorded jobs.

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Design and implement game HUDs, menus, icons and portrait systems from visual proposals through reusable engine assets and input checks. Use when a game interface needs a coherent visual and behavior contract.

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 and edit images, create video, audio, 3D assets or material maps through fal.ai MCP or the Python queue client. Use for fal model discovery, reference uploads, generation, recovery and local delivery.

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。

Turn client wins into formatted case studies for proposals, social proof, and sales conversations. Use when someone needs to document results, build credibility, or create reusable proof assets.

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。

Game development: design, asset pipelines, Phaser, vanilla JS frontend, GM mode, match booking.

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。

Repurpose source assets into platform-native social content.

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。

Deterministic palette/matrix pixel art (not AI). Use for procedural tile art, color-quantized output, matrix sprites.

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。

Claude Skills meta-skill: extract domain material (docs/APIs/code/specs) into a reusable Skill (SKILL.md + references/scripts/assets), and refactor existing Skills for clarity, activation reliability, and quality gates.

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Direct and implement programmatic videos from a natural-language sentence: brief, shots, style, timeline, assets, engine-specific coding prompts, draft, review and repair. Use when asked to make a video, product launch, explainer, Reel/Short, kinetic typography or docs-to-video with HyperFrames, Remotion or Motion Canvas, or to improve an existing code-video project. 一句话视频制作与导演工作流。

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。

Perform structured reconnaissance and attack surface enumeration for authorized penetration tests, CTF challenges, and bug bounty programs. Use when the user mentions 'recon,' 'reconnaissance,' 'enumerate,' 'attack surface,' 'subdomain enumeration,' 'port scan,' 'fingerprint,' 'asset discovery,' or needs to map a target's external footprint.

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 creating distinct website directions, a client review picker, asset catalog, previews, and Cloudflare-ready handoffs.

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。

Cross-asset correlation analysis including rolling correlation, hierarchical clustering, tail dependence, and regime-dependent correlation

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。