1.1万 件 ・ 関連度順
概要と使いどころ
Zotero ローカル API + REST API (Web API v3) 連携スキル。DOI からの文献一括インポート、コレクション管理、アイテム検索・一覧表示を行う。 REST API 経由でコレクション作成・アイテム CRUD・タグ管理・添付ファイルアップロード・グループライブラリ操作も可能。 Use when: (1) DOI リストから Zotero に文献を登録する, (2) Zotero のコレクション一覧・アイテム一覧を取得する, (3) BibTeX/RIS データを Zotero にインポートする, (4) CrossRef API で文献の DOI を検索する, (5) REST API でコレクション作成・アイテム追加・タグ管理を行う, (6) グループライブラリを操作する。 Triggers: "zotero", "文献登録", "DOI インポート", "コレクション", "論文追加", "文献管理"
Use when you need blast-radius analysis, dependency graphs, cross-repo impact, breaking-change diff, or architectural overview of .NET workspaces. Keywords: blast radius, dependency graph, impact analysis, cross-repo, call graph, endpoint map, EF Core lineage, breaking change, daemon, reindex.
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。
Guia completo de desenvolvimento backend para microserviços Node.js/Express/TypeScript. Use ao criar routes, controllers, services, repositories, middleware ou trabalhar com Express APIs, acesso a banco de dados com Prisma, rastreamento de erros com Sentry, validação com Zod, unifiedConfig, injeção de dependências ou padrões assíncronos. Cobre arquitetura em camadas (routes → controllers → services → repositories), padrão BaseController, tratamento de erros, monitoramento de performance, estratégias de testes e migração de padrões legados.
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。
Especialista em lançar produtos SaaS pequenos e focados rapidamente - a abordagem indie hacker para construir software lucrativo. Aborda validação de ideias, desenvolvimento de MVP, precificação, estratégias de lançamento e crescimento para receita sustentável. Lance em semanas, não meses. Use quando: micro saas, indie hacker, small saas, side project, saas mvp.
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。
Quando o usuário quer otimizar onboarding pós-signup, ativação de usuários, experiência de primeira execução ou time-to-value. Use também quando o usuário menciona "fluxo de onboarding", "taxa de ativação", "ativação de usuários", "experiência de primeira execução", "empty states", "checklist de onboarding", "aha moment" ou "experiência do novo usuário". Para otimização de signup/registro, veja signup-flow-cro. Para sequências de email contínuas, veja email-sequence.
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。
Quando o usuário quer criar ou otimizar paywalls in-app, telas de upgrade, modais de upsell ou feature gates. Use também quando o usuário mencionar "paywall", "tela de upgrade", "modal de upgrade", "upsell", "feature gate", "converter free para paid", "conversão freemium", "tela de expiração de trial", "tela de limite atingido", "prompt de upgrade de plano" ou "preço in-app". Distinto de páginas de preço públicas (veja page-cro) — esta skill foca em momentos de upgrade in-product onde o usuário já experimentou valor.
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。
Controle saída de LLM com regex e gramáticas, garanta geração válida de JSON/XML/código, aplique formatos estruturados e construa fluxos de trabalho multi-etapas com Guidance - framework de geração restrita da Microsoft Research
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。
Modelo da OpenAI que conecta visão e linguagem. Permite classificação de imagens com zero-shot, correspondência imagem-texto e recuperação cross-modal. Treinado em 400M pares imagem-texto. Use para busca de imagens, moderação de conteúdo ou tarefas visão-linguagem sem fine-tuning. Melhor para compreensão geral de imagens.
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, implement, and integrate generalized validation harnesses across a producer-consumer boundary after a local harness contract exists. Use when refactoring custom validation CLIs/MCPs for large polyrepos, extending Steward across sibling repos, or deploying a local tool to a consumer project for dogfooding and testing; use mcp-harness-repo-maintainer first for initial steward.yaml adoption and cold-start proof.
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。
Transforms data into compelling visual narratives by applying narrative structure, annotation techniques, scrollytelling patterns, and honest framing to data journalism, presentations, and infographics. Use when creating data-driven articles or reports, designing infographics with narrative, building scrollytelling experiences, annotating charts to guide interpretation, or when user mentions data storytelling, presentation design, annotated chart, narrative visualization.
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 aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks 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。
Diagnose Hermes cron jobs that ran successfully at scheduler level but produced empty, missing, or non-actionable user output.
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。
Diagnose and safely document Hermes cron script interpreter mismatches, especially when shell scripts are executed as Python or Python wrappers are executed as shell.
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 Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Center. Supports Windows App SDK/WinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.
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。
Generates a comprehensive .editorconfig from the project's structure and the user's preferences, so editors format files consistently across languages. Use when a repository has no .editorconfig or its formatting is inconsistent across editors.
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 using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentDataGrid, FluentDialog, FluentToast, FluentNavMenu, FluentTextField, FluentSelect, FluentAutocomplete, FluentDesignTheme, or any component prefixed with "Fluent". Also use when troubleshooting missing providers, JS interop issues, or theming.
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 working with Slang shaders, shader modules, HLSL-compatible GPU code, graphics pipelines, compute shaders, tessellation, ray tracing, parameter blocks, generics, interfaces, capabilities, cross-compilation, shader optimization, shader review, or C++ engine integration for Slang. Trigger on any mention of Slang, .slang files, slangc, SPIR-V from Slang, Slang modules, [shader("compute")], [shader("vertex")], or requests to write/review/refactor shader code with modern language features. Also trigger for Slang-to-HLSL/GLSL/Metal/CUDA cross-compile questions, or when the user says "shader" alongside "generics", "interfaces", "parameter blocks", "autodiff", or "capabilities".
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 skill for writing FreeCAD Python scripts, macros, and automation. Use when asked to create FreeCAD models, parametric objects, Part/Mesh/Sketcher scripts, workbench tools, GUI dialogs with PySide, Coin3D scenegraph manipulation, or any FreeCAD Python API task. Covers FreeCAD scripting basics, geometry creation, FeaturePython objects, interface tools, and macro development.
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 hyper-personalized, narrative-driven, single-file portfolio/pitch websites in the style of anass.pro. Use when the user asks for a "site like anass.pro", a one-recipient candidacy/pitch site, a behavioral-engineering landing page, a single-file storytelling portfolio with a pixel-art game hero, custom cursor, typewriter text, procedural Web Audio SFX, scroll-revealed scenes, or a dark purple narrative interface that addresses one named reader. Trigger on phrases like "personal pitch site", "one-page candidacy", "narrative portfolio", "scrollytelling pitch", "pixel-art hero", "interactive landing for X", or any request to recreate / clone / adapt anass.pro.
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。
Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph for agents", "track entities over time", "add long-term memory", "choose a memory framework", or mentions temporal knowledge graphs, vector stores, entity memory, adaptive memory, dynamic memory or memory benchmarks (LoCoMo, LongMemEval).
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。
A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into the graph, and stores raw content for evidence retrieval. Knowledge accumulates and cross-references; it is never re-derived from scratch. Use when building a knowledge base from many documents that should accumulate and cross-reference over time instead of being re-read each 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。
Audits SwiftUI performance: rendering, scrolling, CPU and memory, unnecessary view updates, body re-evaluations, and layout thrashing, with Instruments guidance when code review is inconclusive. Use when a SwiftUI screen stutters, scrolls poorly, or uses too much CPU.
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, reviewing, or refactoring production code where reliability, portability, maintainability, explicit contracts, resource safety, and cross-language coding standards matter across Python, TS/JS, C, C++, Rust, or Go.
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。
Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity.
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。