1.1万 件 ・ 関連度順
Best practices for AI-driven English-to-Chinese translation. This skill should be used when the user asks to "translate to Chinese", "update the Chinese translation", "improve Chinese translation", "fix translation quality", "review Chinese translation", or when translating any English text into Chinese. Also applies when polishing an existing Chinese translation of English 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。
Design and implement distinctive, production-ready frontend interfaces with strong aesthetic direction. Use when asked to create or restyle web pages, components, or applications (HTML/CSS/JS, React, Vue, etc.).
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。
This skill should be used when the user asks to "use bilibili API", "download bilibili video", "get bilibili user info", "list bilibili favorites", "send bilibili danmaku", "upload video to bilibili", "monitor bilibili live room", "search bilibili", "get bilibili comments", or needs guidance on the bilibili_api Python library usage, authentication, API endpoints, or workflow patterns.
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。
Skill to define requirements effciently as a product manager.
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。
Guide for writing ast-grep rules to perform structural code search and analysis. This skill should be used when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search, or when a simple grep/glob search is insufficient for structural code pattern matching.
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。
Interact with local Chrome browser session (only on explicit user approval after being asked to inspect, debug, or interact with a page open in Chrome)
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。
Show images in terminal using the Kitty image protocol. TRIGGER when show/view images in terminal, display plot results.
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。
This skill should be used before running non-interactive long-running tasks, computation intensive tasks, background tasks, or needs guidance on the pueue CLI tool usage. TRIGGER when user says "use pueue", "run in background", "queue this task", or when about to run any long-running (>2 min) task.
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 Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
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。
Maintain the harness memory files (USER.md, MEMORY.md, AGENTS.md) so that long-term knowledge persists across conversations.
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。
管理 Docker 容器、镜像、卷、网络和 Compose 栈——生命周期操作、调试、清理和 Dockerfile 优化。
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。
Convert 2D orthographic wireframe PNG drawings to 3D Blender models exported as glTF/GLB. Use this skill whenever the user provides wireframe images (technical drawings, line drawings, orthographic views, side/front/back panels) and wants to generate a 3D model, mesh, or .glb file. Triggers on phrases like "convert this wireframe to 3D", "make a 3D model from these drawings", "build a model from this wireframe", "generate GLB from these views", or any image-to-3D-mesh request involving line drawings. Make sure to use this skill even if the user does not explicitly say "wireframe" — also covers "orthographic views", "technical drawings", "line drawings of objects", "front and side views". Requires a configured Blender MCP backend (official or ahujasid) and Python with opencv-python, numpy, scipy installed.
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。
Render Blender scenes with the right engine and settings — Cycles for photoreal, EEVEE for speed/stylized, sample counts, denoising (OptiX/OIDN), light path tuning, color management (AgX/Filmic), file output (PNG/EXR/MP4), animation rendering. Use whenever the user asks to "render this", "produce an image", "render a frame / animation", "make a final image", "save the render", or any output-generation request. Make sure to use this skill even if the user does not say "render" — also covers "make a picture", "save the result", "produce a final image", "export as image".
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。
Convert 2D orthographic wireframe PNG drawings to 3D Blender models exported as glTF/GLB. Use this skill whenever the user provides wireframe images (technical drawings, line drawings, orthographic views, side/front/back panels) and wants to generate a 3D model, mesh, or .glb file. Triggers on phrases like "convert this wireframe to 3D", "make a 3D model from these drawings", "build a model from this wireframe", "generate GLB from these views", or any image-to-3D-mesh request involving line drawings. Make sure to use this skill even if the user does not explicitly say "wireframe" — also covers "orthographic views", "technical drawings", "line drawings of objects", "front and side views". Requires the Blender MCP addon to be running (port 9876) and Python with opencv-python, numpy, scipy installed.
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 writing Japanese novels with AI coding agents (Hermes, Claude Code, opencode, goose). File-based, agent-agnostic workflow: settings in TOML, deterministic context packs, validation scripts.
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。
REQUIRED reading before using figma_execute. Contains API syntax, parameter formats, and examples. READ rules/*.md files for correct usage.
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。
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".
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。
TypeScript/JavaScript conventions. Apply automatically whenever writing or editing JavaScript, TypeScript, JSX, or TSX code (.js/.jsx/.ts/.tsx) — functions, types, type safety, immutability, error handling, comments, file size, exports, naming, and library conventions for dates and data handling (ts-belt, ts-pattern). Use for any new code or refactor in these languages. For React-specific rules (components, hooks, JSX, TanStack Query, Zustand, React Hook Form), also apply the react skill.
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。
S5 of see-it-ship-it: prove it works before saying so. Silent quality checks after every feature, a full review of every file before save and deploy, and the acceptance table (check / expected / actual / match) run on the local build and again on the live URL. Never 'tests passed'.
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。
Your habits, imprinted on AI. Learns how you work from conversation, builds a portable profile, and applies judgment that adapts to you: when to act, when to check with you, when to follow the project's rules over your own defaults. Use this skill whenever the user starts a new session, opens a project, writes or reviews code, debugs, plans, or writes commits. If .dna.md does not exist yet, start the onboarding conversation before doing anything else. Active in almost every working session.
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 a feature request into a minimal, file-level implementation plan before any code.
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 images, websites, and Figma files to extract their design and generate a `design.md` with token system, component inventory, and reconstruction notes. Use this skill whenever the user wants to understand, document, replicate, or audit the design of something visual: a screenshot, a URL, a Figma link, a Pinterest reference, a mockup, a competitor's site, a component, a dashboard, a landing page. Also when they ask 'extract the design system from X', 'document the style of Y', 'analyze this visually', 'convert this image into tokens', 'help me replicate this design', 'what palette does this site use', 'how is this built'. Also for single elements: 'copy this navbar', 'recreate this illustration', 'give me a prompt to regenerate this graphic' — element mode outputs a focused element.md, with token-grounded image-model prompts when the element is visual art. If the user brings any visual source and wants to understand it at a design level — this skill should activate.
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。
great_cto's own committed aesthetic — the instrument panel. Dark five-step surface ladder, exactly one accent, two faces divided by MEANING (Geist speaks, Geist Mono is machine-truth), tabular numerals, and a dash that is not a nought. Twelve checkable rules measured from packages/board and greatcto.systems, not designed for this file. Use when building or extending any great_cto surface — the board, the site, a report, a share page.
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。
The pinned default technology stack for SMB Product-Builder products. One source of truth so the architect, app-scaffolder, auth-engineer, and senior-dev never re-decide the stack per build — they build ON it. Covers framework, ORM/DB, auth, UI, payments/email/SMS, files, jobs, testing, hosting, and observability, with the chosen default + the one sanctioned alternative for each. Applied whenever a new product is scaffolded or a stack choice would otherwise be improvised. Re-deciding the stack every build is the biggest silent time sink; this kills it.
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。