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概要と使いどころ

Automatically generate regression tests for Java codebases by analyzing changes between old and new code versions. Use when users need to: (1) Generate tests after refactoring or code changes, (2) Ensure previously tested behavior still works in new versions, (3) Cover modified or newly added code paths, (4) Migrate existing tests to work with updated APIs or signatures, (5) Maintain test coverage during code evolution. Supports JUnit and TestNG frameworks with unit tests, parameterized tests, and exception testing 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。

ArabelaTso/Skills-4-SE2552026年8月21日 更新

Validate API consistency between two versions of Java libraries. Use when you need to compare API behavior, signatures, and exceptions between Java library versions to identify breaking changes, incompatible modifications, and behavior differences. The skill performs static analysis of Java code, compares method signatures, class definitions, interface changes, parameter types, return types, exception declarations, and generates a detailed JSON report with breaking changes, warnings, and migration guidance. Supports Java libraries and packages.

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。

ArabelaTso/Skills-4-SE2552026年8月21日 更新

TRIGGER THIS when preparing for new hires, planning first-day/week/month activities, creating onboarding schedules, building 30-60-90 day plans, designing welcome programs, organizing training schedules, or setting up buddy/mentorship programs. Designs comprehensive, engaging onboarding experiences that accelerate time-to-productivity and build belonging.

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。

w95/awesome-claude-corporate-skills2542026年2月27日 更新

gds-gdd

無料

Create, update, or validate a game's Game Design Document. Use when the user wants help producing, editing, or validating a GDD — the primary design artifact covering pillars, mechanics, progression, levels, art, audio, and development epics.

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。

bmad-code-org/bmad-module-game-dev-studio2522026年9月25日 更新

A React Native developer-platform whose marketing site reads like a quietly-confident infrastructure brand. The base canvas is pure white with a soft sky-blue gradient atmospheric wash behind the hero; near-black ink (`#171717`) carries body and display alike. The single brand voltage is **pure black** (`#000000`) for primary CTAs — minimal and editorial-feeling, paired with a small blue text-link accent (`#0d74ce`) reserved for inline body links. Type pairs Inter at modest weights (display 600, body 400) with JetBrains Mono on every code surface. The brand's strongest visual signature is the **device-mockup hero** — a centered MacBook + iPhone composite showing real Expo dev surfaces — over the gradient sky wash.

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。

skillmds/skillmd2482026年10月14日 更新

A warm-canvas editorial interface for Anthropic's Claude product. The system anchors on a tinted cream canvas with serif display headlines, warm coral CTAs, and dark navy product surfaces (code editor mockups, model showcase cards). Brand voltage comes from the cream/coral pairing — deliberately warm and humanist where most AI brands use cool blue + slate. Type voice runs a slab-serif display ("Copernicus" / Tiempos Headline) for h1/h2 and a humanist sans for body. The signature Anthropic black-radial-spike mark anchors the wordmark.

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。

skillmds/skillmd2482026年10月14日 更新

A three-surface marketing system organized around alternating black, white, and PlayStation Blue chapters that scroll past the viewer like a console launch trailer. Each section has a single editorial purpose — hero photography, console product render, PS Plus tier callout, news strip — and each owns one of three full-bleed canvas modes. The chrome is unusually quiet for a gaming brand: bright PlayStation Blue (`#0070d1`) carries every primary CTA as a fully-rounded pill, the proprietary SST face renders display copy at a signature weight 300 (light) for an airy, premium feel, and a crisp 8px-radius secondary card system carries product info on either canvas mode. The system never decorates — no gradient backgrounds on chrome, no atmospheric mesh, no drop shadows beyond a faint section-divide. Imagery does all the heavy lifting: console glamour shots, game key art, and PS Plus tier illustrations occupy 60-90% of every section, with copy compressed into a small editorial slot.

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。

skillmds/skillmd2482026年10月14日 更新

Mintlify presents documentation infrastructure with a dual-mode aesthetic — atmospheric sky-gradient marketing heroes (cloud illustration backdrops, soft cream-to-blue washes) paired with dense developer-grade documentation surfaces. The system uses Inter for UI prose, Geist Mono for code, and a signature Mintlify green ({colors.brand-green}) reserved for accent CTAs and active states. Black-pill primary buttons dominate marketing, white-on-dark inversions appear on dark hero bands, and a 3-column documentation layout (sidebar / prose / TOC) anchors the developer experience. Coverage spans homepage, startups program, pricing comparison, and the live tabs documentation 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。

skillmds/skillmd2482026年10月14日 更新

AI code reviewer grounded in classic software engineering books for catching design smells, coupling issues, and architectural risks.

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。

skillmds/skillmd2482026年10月14日 更新

Create a comprehensive brand design guide — color palette, typography pairings, UI component previews, and visual identity rules with example mockups.

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。

skillmds/skillmd2482026年10月14日 更新

A luxury-automotive brand whose marketing surfaces read as cinematic editorial. The base canvas is **near-black** (`#181818`) holding pure white display type; white-canvas bands appear only inside specific editorial contexts (preowned listings, pricing tables). The single brand voltage is **Rosso Corsa** (`#da291c`) — the iconic Ferrari racing red — used scarcely on primary CTAs, the Cavallino mark, and Formula 1 race-position highlights. Type runs **FerrariSans** at modest weights (display 500, body 400) — never bombastic. Spacing follows an explicit 8px token ladder (`xxxs` 4px through `super` 128px); generous editorial pacing throughout. The brand's strongest visual signature is the **full-bleed cinematic hero photograph** that fills the viewport top with car photography, model details, or trackside livery — followed by a tighter editorial body layout below.

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。

skillmds/skillmd2482026年10月14日 更新

One-time setup that gathers design context for your project and saves it to your AI config file. Run once to establish persistent design guidelines.

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。

zacharyfmarion/openscad-studio2422026年8月20日 更新

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

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。

galfrevn/apollo2382026年8月18日 更新

cinetic

無料

Direct, build and render premium cinematic motion design from code — launch films, product and feature videos, looping feature animations for landing pages and social, logo stings and reveals, UI walkthroughs, app demos, kinetic type, teasers, trailers, intros and promo clips. Use this whenever the user wants any video, animation, motion graphic or animated demo made with Remotion, HyperFrames, HTML/GSAP or React, or asks to storyboard, time, score, render, polish or critique one — even if they only say "make a video about X", "animate this feature" or "we need a launch clip". It supplies concept and copy discipline, type and colour taste that defers to a supplied brand, a beat-locked timeline that drives both picture and a synthesized soundtrack, choreography and transition craft, real product UI in motion, film-grade finishing (true motion blur, no banding, BT.709, sync-checked mux) and a measured self-critique loop on contact sheets and renders.

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。

Leonxlnx/cinetic2342026年10月14日 更新

Bootstrap a Claude-assisted on-call for this channel/repo: discover the available connectors, mine incident history into draft triage playbooks, interview the human for policy, validate against held-out incidents, and install the scheduled routines. Use when the user wants to "set up on-call", "bootstrap the on-call kit", "onboard this channel", or has just installed the oncall-kit plugin. Five gated phases — never run more than one phase per turn, and never activate anything before Phase 4 sign-off.

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。

anthropics/oncall-kit2332026年8月7日 更新

This skill should be used when the user asks to "upload images to Cloudflare", "implement direct creator upload", "configure image transformations", "optimize WebP/AVIF", "create image variants", "generate signed URLs", "add image watermarks", "integrate with Next.js/Remix", "configure webhooks", "debug CORS errors", "troubleshoot error 5408/9401-9413", or "build responsive images with Cloudflare Images API".

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。

secondsky/claude-skills2302026年9月28日 更新

Publishes mobile applications to iOS App Store and Google Play with code signing, versioning, and CI/CD automation. Use when preparing app releases, configuring signing certificates, or setting up automated deployment 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。

secondsky/claude-skills2302026年9月28日 更新

Scaffold and implement authentication in TypeScript/JavaScript apps using Better Auth. Detect frameworks, configure database adapters, set up route handlers, add OAuth providers, and create auth UI pages. Use when users want to add login, sign-up, or authentication to a new or existing project with Better Auth.

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。

better-auth/skills2222026年9月1日 更新

Configure TOTP authenticator apps, send OTP codes via email/SMS, manage backup codes, handle trusted devices, and implement 2FA sign-in flows using Better Auth's twoFactor plugin. Use when users need MFA, multi-factor authentication, authenticator setup, or login security with Better Auth.

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。

better-auth/skills2222026年9月1日 更新

Think and work like an expert Mass Spectrometrist. Use when a task calls for Mass Spectrometrist judgment. Reasons from ion formation, m/z resolution and mass accuracy, fragmentation, and calibrated ion statistics through ESI/APCI/MALDI tuning, CID/HCD/ETD MS/MS, isotope-pattern formula assignment, and spectral libraries (NIST, mzCloud, GNPS) under FDA/ICH M10/MSI tiers, while treating matrix suppression, PEG/siloxane/keratin contamination, decoy-driven FDR inflation, and unassigned adducts as first-class failure modes.

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。

K-Dense-AI/scientific-agents2132026年10月3日 更新

Think and work like an expert Immunotherapy Scientist. Use when a task calls for Immunotherapy Scientist judgment. Reasons from antigen recognition and checkpoint circuits through CAR-T/bispecific design, ASTCT CRS/ICANS grading, flow cytometry release CQAs, iRECIST response assessment, COMPASS/TIDE biomarker modeling, and JACIE/FACT IEC accreditation while treating antigen escape, pseudoprogression, tonic signaling, and step-up CRS as first-class failure modes.

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。

K-Dense-AI/scientific-agents2132026年10月3日 更新

Think and work like an expert Geotechnical Engineer. Use when a task calls for Geotechnical Engineer judgment. Reasons from effective stress and LRFD/EC7 limit states through GDR/GBR/FDR deliverables, shallow and deep foundations (GEC 6/10/12), excavation support (DeepEX, LPILE), ground improvement, ASCE 7 liquefaction, observational-method triggers, and FHWA pile acceptance while treating DSC claims, setup vs. blow count, and GBR-vs-design conflation as first-class failure modes.

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。

K-Dense-AI/scientific-agents2132026年10月3日 更新

Think and work like an expert Electronics Engineer. Use when a task calls for Electronics Engineer judgment. Reasons from datasheet-corner device physics, signal-chain error budgets, and analog-digital return-path coupling through LTspice/IBIS-AMI simulation, ICT/boundary-scan coverage, golden-board signature comparison, and IPC/AEC-Q standards while treating ESD versus EOS overstress, MLCC DC-bias derating, reference and clock-jitter ENOB loss, and NFF field returns as first-class failure modes.

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。

K-Dense-AI/scientific-agents2132026年10月3日 更新

Use Xquik to fetch X (Twitter) data or act through a connected account. It covers search, profiles, followers, replies, threads, timelines, media downloads, bulk exports, trends, monitors, signed webhooks, draws, posts, likes, follows, DMs, and AI analysis of posts (sentiment, brand mentions, news, market signals, viral score, custom labels). Also use for hashtag or @handle tracking when no other network is named, Xquik MCP setup, pricing, and X API comparisons. Skip data from other social networks, code that stays on the official X API (such as tweepy with an X developer bearer token), official X widget implementation, and content drafting or analysis without an API task. Not affiliated with X Corp.

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。

Xquik-dev/x-twitter-scraper2132026年10月15日 更新