Author, lint, and publish skill packages that satisfy the library authoring standard. Use when creating a new skill, reviewing a skill PR, or fixing one that never activates.
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。
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Author, lint, and publish skill packages that satisfy the library authoring standard. Use when creating a new skill, reviewing a skill PR, or fixing one that never activates.
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。
Drafts a customized Customer Agreement starting from the Y Combinator standard form SaaS template. Tailors the agreement through structured intake questions covering fee structure, data handling, ML rights, implementation services, and more. Applies 18 always-on defaults that transform the raw YC form into a professional starting point (renamed to "Customer Agreement", data privacy section added, warranty restructured, consolidated SLA/support exhibit, etc.). Produces a clean .docx and a lawyer-facing memo explaining every change from the YC standard. Use when user says "draft a SaaS agreement", "YC SaaS", "startup SaaS contract", "customer agreement", "SaaS subscription agreement", or "I need a SaaS agreement starting from the YC form". Also trigger when the user is a startup founder discussing SaaS contracting, even if they don't mention YC specifically.
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。
EU AI Act Knowledge Engine — authoritative regulatory Q&A grounded in 70 official EU source documents (including the 2026 Commission draft guidelines on Art. 6 high-risk classification — general principles, Annex I, Annex III). Answers any question about the AI Act with article-level citations from the full regulation text, Commission guidelines, EDPB/EDPS opinions, codes of practice, harmonised standards, FRIA guides, incident templates, and sector-specific guidance. This skill should be used when the user asks about the "EU AI Act", "AI Act regulation", "Regulation 2024/1689", "KI-Verordnung", asks to "explain an AI Act article", "what does Article X say", "AI Act requirements", "AI Act penalties", "AI Act timeline", "GPAI obligations", "high-risk AI", "prohibited AI practices", "AI Act and GDPR", "fundamental rights impact assessment", "AI Act standards", "AI Act national implementation", "AI literacy", "serious incident reporting", "Digital Omnibus", "AI regulatory sandbox", or any question about EU artificial intelligence regulation. Also triggers on German terms: "KI-Gesetz", "KI-Verordnung", "Hochrisiko-KI", "KI-Kompetenz", "Grundrechte-Folgenabschaetzung", "GPAI-Verhaltenskodex". For assessment workflows that produce a classification decision rather than a knowledge answer, offer to run a structured risk-tier classification in-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。
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
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。
Expert patterns for Godot 3D PBR materials using StandardMaterial3D including albedo, metallic/roughness workflows, normal maps, ORM texture packing, transparency modes, and shader conversion. Use when creating realistic 3D surfaces, PBR workflows, or material optimization. Trigger keywords: StandardMaterial3D, BaseMaterial3D, albedo_texture, metallic, metallic_texture, roughness, roughness_texture, normal_texture, normal_enabled, orm_texture, transparency, alpha_scissor, alpha_hash, cull_mode, ShaderMaterial, shader parameters.
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。
Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
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。
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
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 a comprehensive brand standards document — covering logo usage, color, typography, voice, messaging, and application rules. Use when the user says "brand guidelines", "brand standards", "brand book", "style guide", "brand guide", "brand manual", "brand rules", "brand documentation", "brand toolkit", "onboarding designers or copywriters", "need a document for the team", "brand consistency across teams", or wants to codify all brand decisions into a reusable reference document.
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 laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
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 brand VISUAL rules have to be created or updated — brand personality, color system, typography, logo usage, imagery and visual tone, component rules, accessibility contrast, standard asset sizes, and file naming. It is the source document every design skill and the Brand Hub reads. Trigger on 'brand guideline', 'brand book', 'style guide', 'brand standards', 'our designs all look different', 'update the brand palette'. Also use when the user has a logo and nothing written down. Not for — how the brand SOUNDS in writing, see `35-brand-voice-global`; positioning and the message, see `58-positioning-global`; briefing one asset, see `42-image-brief-global`; scoring a design, see `47-design-review-global`.
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 master design has to become every size a campaign needs — feed, story, reel, cover, and ad placements: the standard size matrix, three strategies of scale-and-crop, re-compose, or rebuild, safe-zone rules, platform crop behavior, and file naming. Trigger on 'resize this design', 'all the sizes', 'adapt to other placements', 'safe zone', 'standard size chart', 'the text gets cut off in stories'. Also use when one visual exists and six placements are waiting on it. Not for — the original concept brief, see `42-image-brief-global`; production steps in Canva or Figma, see `45-design-tool-brief-global`; the full campaign asset list, see `41-campaign-asset-list-global`; an urgent new creative, see `48-quick-visual-brief-global`.
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。
Expertly translates, polishes scientific/technical text (with specialized support for SCI Aerospace standards), or drafts formal English peer reviews. Ensures accuracy, clarity, and adherence to high academic standards.
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。
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
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。
Apply core coding standards, dependency injection, and configuration for Spring Boot 3. Use for Spring Boot application structure and DI/configuration; defer Spring Security hardening and test-specific setup to their focused 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。
Standards for Feign clients and asynchronous messaging with Spring Cloud Stream. Use when implementing Feign HTTP clients or async event messaging in Spring Boot microservices.
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。
Apply core PHP language standards and modern 8.x features. Use when working with PHP 8.x features like enums, fibers, readonly properties, or named arguments.
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。
Core Python 3.11+ language standards for typing, dataclasses, imports, pathlib, and stdlib-first code. Use for idiomatic language constructs in Python modules or stubs; defer pytest fixtures, database/client configuration, subprocess security, and other specialized concerns.
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。
Standardizes token-efficient browser automation via playwright-cli, with Playwright MCP as the fallback driver. Runs a preflight, picks the driver rung, captures aria snapshots/console/screenshots into a named evidence dir. Use for web verification, navigation, and capturing snapshots/logs.
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。
Investigate requirements via atomic AC decomposition, actor/permission matrices, and truth-table edge cases; enforce User Story standards (scope fences, platform tags, toggles). Use when writing/reviewing Stories or AC with multi-condition logic, feature toggles, or market variants (VN/MY/SG).
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。
PHP-only security standards for database access, password handling, and input validation. Use when securing PHP apps against SQL injection, XSS, or weak password storage; defer Laravel middleware and security questions in other languages.
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。
Write PHP following PSR coding standards, SOLID principles, and code-quality guidelines. Use for PHP style, design, refactoring, naming, and guard clauses—not Composer/PSR-4 project configuration.
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。
Enforce core architectural standards for scalable Laravel applications. Use when structuring controllers, service layers, action classes, Form Requests, or Service Container bindings in Laravel projects.
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Configure Laravel ecosystem with custom Artisan commands, Vite asset bundling, Pint code styling, and Horizon queue monitoring. Use when creating Artisan commands, migrating from Mix to Vite, or configuring Pint code standards.
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。
Automate Swagger/OpenAPI documentation and standardize API response schemas in NestJS. Use when generating OpenAPI specs, documenting paginated or generic responses, configuring the Nest CLI Swagger plugin, or publishing versioned API docs.
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。