4,405 件 ・ 関連度順
概要と使いどころ
Generate custom favicons from logos, text, or brand colours. Produces favicon.svg, favicon.ico, apple-touch-icon.png, icon-192/512.png, and web manifest. Use whenever the user wants a favicon, mentions replacing a CMS default favicon, converting a logo into a favicon, creating branded initials icons, or troubleshooting favicon not displaying / iOS black square / missing manifest.
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。
GitHub Actions security review for workflow exploitation vulnerabilities. Use when asked to "review GitHub Actions", "audit workflows", "check CI security", "GHA security", "workflow security review", or review .github/workflows/ for pwn requests, expression injection, credential theft, and supply chain attacks. Exploitation-focused with concrete PoC scenarios.
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 run minimal reproducible MATLAB or Beita Tianyuan compatible code for the human-approved main method and usable baseline, with compact experiment artifacts and a canonical run summary.
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。
Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review 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。
Review, run, debug, and verify approved MATLAB or Beita Tianyuan modeling code against its plan, data contract, method decision, compatibility constraints, and experiment outputs, saving one compact JSON review.
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。
Physics-based animation library combining React Spring (spring dynamics, gesture integration, 60fps animations) and Popmotion (low-level composable animation utilities, reactive streams). Use when building fluid, natural-feeling UI animations, gesture-driven interfaces, physics simulations, or spring-loaded interactions. Triggers on tasks involving React Spring hooks, spring physics, inertia scrolling, physics-based motion, animation composition, or natural UI movements. Alternative physics approach to motion-framer for more physically accurate animations.
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。
When the user wants to optimize brand search for a company with multiple domains (e.g. parent company.com vs product.ai). Ensure the parent/company domain ranks first for brand queries. Also use when the user mentions "brand search," "multi-domain SEO," "company domain first," "parent vs product domain," "hub-spoke domain," "brand SERP control," or "differentiate company and product domains." For domain structure, use domain-architecture.
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。
When the user wants to choose an SEO-friendly domain for a new site—brand vs keyword domain, TLD selection, or domain best practices. Also use when the user mentions "domain choice," "pick domain," "SEO-friendly domain," "brand domain," "EMD," "PMD," "exact match domain," "partial match domain," "TLD," ".ai domain," ".com vs .io," "domain length," "domain history," or "defensive domain registration." For migration, use rebranding-strategy.
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。
When the user wants to choose or optimize rendering strategy for SEO. Also use when the user mentions "SSR," "SSG," "CSR," "ISR," "static rendering," "dynamic rendering," "server-side rendering," "client-side rendering," "JavaScript rendering," "pre-rendering," "prerender," "content in initial HTML," or "crawler visibility." For crawl issues, use site-crawlability.
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。
When the user wants to write or optimize short-form marketing copy—headlines, CTAs, ad copy, landing page copy, email copy. Also use when the user mentions "copywriting," "headline," "CTA copy," "ad copy," "landing page copy," "sales copy," "conversion copy," "PAS," "AIDA," "BAB," "copy formula," or "differentiation." For long-form article bodies (blog posts, guides), use article-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。
When the user wants to create SEO pages at scale using templates and data—including AI-assisted, grounded copy for per-URL differentiation (vs rigid mail-merge templates). Also use when the user mentions "programmatic SEO," "programmatic SEO pages," "template pages," "scale content," "location pages," "city pages," "comparison pages at scale," "X vs Y pages," "integration pages," "pages from data," "automated landing pages," or "programmatic landing pages." Uses a playbook matrix aligned to skills under skills/pages. For user-facing template galleries or marketplaces (browse → use), use template-page-generator.
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 making multiple independent ad or campaign edits from existing footage with Scenario: hook, CTA, copy, end-card, placement, or targeted visual variants. Also for revising one variant or resuming a partially completed batch. Not for a new commercial from a still image, ordinary single-clip grading, or automatic Cartesian combinations.
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 or fixing Godot 4.7 shaders: .gdshader code (spatial, canvas_item, particles, sky, fog), VisualShader graphs built in code, stylized or toon water, dissolve or burn effects, hit flash, outlines, X-ray or portals with the stencil buffer, depth or screen-texture post-processing, global or per-instance uniforms, compute shaders and Texture2DRD, the shader baker; or when 'shader compiles but looks wrong', 'black screen from my post effect', 'my Godot 3 shader breaks', 'colors look washed out', 'first-launch shader stutter'.
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 a story must unfold across a sequence of Scenario images: a comic page or strip, manga or webtoon panels, a children's storybook, a film, game, or ad storyboard, animatic pre-viz frames, or any shot list where the same characters and world must persist from panel to panel and dialogue must stay legible. Keywords: storyboard, comic, panel, sequential art, storybook, shot list, pre-viz, animatic, scene to scene, character consistency.
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 grooming hair or fur in Blender with hair curves, such as a character hairstyle, animal fur, procedural fur in geometry nodes, or hair cards and mesh hair for games. Also covers the Essentials hair node assets (Interpolate, Clump, Curl, Frizz, Noise, Trim), density masks, bald spots, parting lines, strand shading in Cycles or EEVEE, and slow grooms. Use it too when a hair script misbehaves headless, for example stale modifier inputs or curve sculpt brushes that do nothing.
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 or editing music with ACE-Step models on Scenario via MCP: text-to-music songs with sung vocals from a lyric sheet, instrumental tracks, covering or restyling an existing song, repainting one section in place, changing sung lyrics, adding an instrument layer, completing a partial recording into a full arrangement, extracting stems, or choosing between Turbo and Quality lanes. Keywords: ACE-Step 1.5, cover strength, repaint, Vocal2BGM, stem separation, karaoke, BPM.
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。
Drive the Skills Manager CLI (`skm`) to initialize the hub, adopt unmanaged skills, list/enable/disable skills per AI tool, and doctor/fix symlink sync. Use whenever the user or an agent needs to manage skills from a terminal, SSH session, CI job, or headless machine; when a skill is missing in Claude Code, Codex, Cursor, Gemini, OpenCode, or any other supported tool; when asked to run skm / Skills Manager CLI; or when setting up Skills Manager without the GUI. Do not use for `npx skills` / skills.sh search (different CLI), for writing SKILL.md content (skill-creator), or for marketplace browse/install (not in skm).
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 a Process Mining overview, initial process selection, or an analytical follow-up needs routing.
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 and verify a third-party `.ppmplugin` end to end. This recommended entry point detects Android and iOS source, confirms target platforms, then invokes the manifest, platform build, assemble, and audit stages in order. Advanced users can invoke a stage directly for focused reruns or debugging. Produces a native-only bundle (`manifest.json` plus an Android DEX and/or iOS framework) and stops on any failed stage rather than emitting an unverified partial build. Run after the native module exists.
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。
Adds SEO essentials to a Power Pages code site, including robots.txt, sitemap.xml, meta tags, Open Graph tags, and favicon configuration. Use when the user wants to improve search engine optimization or make their site more searchable.
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。
Creates a new Power Pages code site (SPA) from a curated template or from scratch using React, Angular, Vue, or Astro. Guides through the full process from initial concept to deployed site: requirements discovery, template selection or scaffolding, component planning, design, implementation, validation, and deployment. Use when the user wants to create, build, use a template for, or scaffold a new Power Pages website or portal.
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。
Read the approved PRD.md and generate the native sources for a third-party PAM control (the compiled `.ppmplugin` track) — iOS Obj-C `<Pascal>Module` plus optional system-frameworks podspec, Android Kotlin `<Pascal>Module` with build.gradle, AndroidManifest and ReactPackage, a dev-only private package.json (react + react-native devDeps for the builds), and the committed `./manifest.json` dispatch contract the PCF and build stage both read. No TypeScript INativeExtension layer — the contract is the manifest plus the native modules' dispatch surface. Emits the layout in shared/repo-layout.md and generates substantially complete native code (compiled later by /build-android-binary and /build-ios-binary, not here). Local only — writes files, runs no git and touches no remote or feed. PCF is generated by /generate-pcf-companion; the bundle is built by /generate-ppmplugin.
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 or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions. Use when an agent must profile and safely prepare uploaded data, turn a real dataset or research question into a reproducible study, investigate drivers without overstating causality, validate a model, compare feasible actions under dependent uncertainty and tail risk, trace every parameter to evidence and approval, or produce an answer-first analytical report across health, business, finance, policy, engineering, operations, behavioral science, AI, or planning.
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 test fixtures for @copilotkit/aimock — mock LLM responses, tool call sequences, error injection, multi-turn agent loops, embeddings, structured output, sequential responses, or debugging fixture mismatches
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。