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概要と使いどころ
Generate a Privacy Impact Assessment in house format for a new feature, product, or processing activity, using the structure learned from your seed PIA. Use when the user says "write a PIA", "privacy impact assessment for", "do we need a PIA for this", "privacy review this feature", or describes a new data processing activity.
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。
Reference: review of an inbound vendor agreement against the team playbook in `~/.claude/plugins/config/claude-for-legal/commercial-legal/CLAUDE.md`. Flags deviations, assesses risk, generates specific redline language, and routes to the right approver. Loaded by /commercial-legal:review when a vendor MSA, services agreement, or similar is detected.
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 per-system inventory — track each AI system's role (provider, deployer, importer, distributor, authorized representative, product manufacturer) and risk tier (prohibited, high-risk, limited, minimal, GPAI, GPAI+systemic). Role and tier are assessed per system, not per company. Use when the user says "ai inventory", "add an ai system", "what systems do we have", "classify this ai system", "eu ai act register", or "ai system registry".
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。
Upload local assets (images, mockups, extracted HTML, design markdown) to a Stitch project. ALWAYS use this skill when you need to upload visual assets, HTML pages, or design docs to Stitch, particularly when direct MCP tool calls fail or truncate due to base64 token limits.
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 generated or hand-made art into exactly what a game engine loads. Covers sprite cutout, trim and nearest-neighbour fitting to frame sizes, pixelation to a palette, sprite sheets and strips, player/team-colour masks, seamless textures, and rendering a 3D model into sprite frames from the game's own camera (isometric/RTS 8 or 16 headings, side view, top-down) with Blender. Use after generating assets, or when the user asks to make sprites, sprite sheets, animation frames, isometric unit sprites or icons for a game.
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 how a game actually works so a mod can hook it. Decompile .NET/Mono (ILSpy), IL2CPP (Cpp2IL, Il2CppDumper), Java (Vineflower) and native code (Ghidra, IDA, via MCP servers); dump data and asset formats; reverse-engineer a binary file format and prove it with a round trip; read live memory (Cheat Engine, Frida, x64dbg); find render passes (RenderDoc). Use when a mod needs game internals, e.g. "how does the boss AI work", "find the damage function", "what format is this .sld/.pak/.dat", "where is the player position in memory".
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。
Mod a PC game the user owns, taking an idea to working in the real game and recorded. It covers new items, weapons, enemies, bosses, units, civilizations, mechanics, art, sound, VR and cross-game mashups. Use when the user wants to mod, extend, hack on, reverse engineer or mash up a game ("add a nuke to Terraria", "make a new civ for Age of Empires", "put Minecraft inside X", "can I mod this game?"). It covers recon (engine, loaders, anti-cheat), choosing the route, a safe lab, a first vertical slice, fal-generated assets, in-game verification and a showcase clip.
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 game assets with fal (fal.ai) through the fal MCP server, the `um fal` CLI (REST) or `fal api`. Covers sprites and icons with transparent backgrounds, consistent variants and animation frames, pixel art, seamless textures, PBR material maps, image-to-3D models, remeshing, auto-rigging, sound effects, music, voice lines, and trailer or cutscene video. Use whenever a mod needs new art, audio or 3D models, or the user mentions fal, generating sprites, textures, models, SFX or music for a game.
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。
Comprehensive API security testing methodology covering REST, gRPC, and WebSocket attack surfaces. Addresses the full OWASP API Security Top 10 2023 including BOLA/IDOR, broken authentication, excessive data exposure, rate limiting bypass, BFLA, mass assignment, SSRF, and security misconfiguration. Includes REST-specific attacks such as HTTP verb tampering, content-type switching, and parameter pollution. Covers gRPC exploitation through protobuf interception, reflection API enumeration, and metadata injection. Addresses WebSocket vulnerabilities including origin bypass, message injection, and cross-site WebSocket hijacking. Provides tooling guidance for Burp Suite, Postman, grpcurl, websocat, and mitmproxy. Each technique includes detection signatures and defensive indicators so you understand what artifacts your testing leaves behind. Designed for authorized penetration testing engagements against API-driven architectures.
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。
SQL injection testing skill for offensive security assessments and bug bounty hunting. Covers error-based, UNION-based, boolean/time-based blind, out-of-band, second-order, NoSQL, GraphQL, WebSocket, and JSON-operator SQLi. Includes WAF bypass techniques, database-specific exploitation (MySQL, MSSQL, PostgreSQL, Oracle), cloud-native attack paths, ORM CVE tracking, and SQLmap automation. Use when performing web application SQL injection testing, database enumeration, privilege escalation via SQLi, or assessing injection vectors in APIs and modern stacks.
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。
Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references.
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。
Prepare and optimize browser-game 3D assets. Use when the user asks for GLB or glTF shipping work, including Blender cleanup and export, collision or LOD setup, compression, texture packaging, and runtime validation.
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。
Assess an immutable patch artifact's program impact, regression risk, and auto-merge eligibility. Use for generated patch files, provider pull-request diffs, or commit ranges when reviewers need evidence about affected runtime paths, contracts, tests, and recoverability. This skill is read-only and does not generate, edit, apply, push, or merge the patch.
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。
Resize, crop, or export any image or video into platform-ready social media assets using Adobe Creative Cloud tools. Use this skill when a user wants to prepare a photo, image, or video for one or more social platforms — Instagram, TikTok, LinkedIn, Facebook, YouTube, Snapchat, Pinterest, Threads, or X/Twitter. Triggers on: "prepare my image for Instagram", "resize for TikTok", "get this ready to post", "make versions for all platforms", "social media sizes", "crop for stories", "export for LinkedIn", "resize my video for social", "make social media assets", or any request to adapt a photo or video for specific platforms. Handles subject-aware cropping, AI canvas expansion, test previews before full runs, and same-ratio video resizing.
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 visual assets from text prompts: PNG images (Gemini / xAI Grok, or local Qwen-Image when installed), GLB 3D models (Tripo CLI), rigged characters, retargeted animations, and frame-by-frame animated sprites, plus background removal. Use whenever a game needs generated art.
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。
Detects misplaced classes and fixes component hierarchy problems — finds code that should belong inside a component but sits at the root level. Use when asking "clean up component structure", "find orphaned classes", "fix module hierarchy", "flatten nested components", or analyzing why namespaces have misplaced code. Do NOT use for dependency analysis (use coupling-analysis) or domain grouping (use domain-identification-grouping).
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。
Prepare selected workspace images and information cards as WeChat Official Account cover and article assets without reading outside the active workspace.
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 or edit the active iPolloWork video's visual assets, installed recipes, editable composition and seek-safe motion; use for assembly or local picture/text/theme changes.
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 with any iPolloWork template generating video, slides, websites or other designs from iPolloWork reference documents and a creative-context.json attachment. Read unified content, design evidence and asset paths; apply the edited brief and verify actual asset reuse. Does not parse documents with models.
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 skeuomorphic web UI surfaces with layered gradients, stacked inner and outer shadows, reflective gradient borders, micro texture, and embossed text or icon details. Use when asked for pressed, carved, tactile, realistic, soft-plastic, soft-metal, or premium physical interface styling.
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 you need to pick high-quality Unsplash images for product/design assets (avatars, headshots, portraits, large website backgrounds, and abstract wallpapers) and output real Unsplash URLs plus practical instructions for producing the right resolutions and aspect ratios (1:1, 4:5, 3:4, 16:9, 9:16).
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。
Interactive skill assessment with personalized learning path generation
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 is designed to help users automatically extract business data from Google Maps search results. The Agent should proactively apply this skill when the user makes the following requests searching for coffee shops in a specific city, finding dentists or medical clinics nearby, tracking competitors' locations in a certain area, extracting business leads from Google Maps lists, gathering restaurant data for market research, finding hotels or accommodation options in a region, locating specific services like coworking spaces or gyms, monitoring new business openings in a neighborhood, collecting contact information and addresses for sales prospecting, analyzing price ranges and cuisines of local eateries, getting ratings and review counts for a list of businesses, exporting local business data into a CRM or database.
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 is designed to help users automatically extract reviews from Google Maps via the Google Maps Reviews API. Agent should proactively apply this skill when users request to find reviews for local businesses (e.g., coffee shops, clinics), monitor customer feedback for a specific brand or location, analyze sentiment of reviews for competitors, extract reviews for a chain of stores or services, track reputation of a local restaurant, gather user testimonials for a specific venue, conduct market research on service quality of local businesses, monitor reviews for a new retail location, collect feedback on public attractions or parks, identify common complaints for a specific service provider, research the best-rated places in a city, analyze recurring themes in reviews for a specific industry.
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。