Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer token refresh, and sending/receiving `ClientMessage`/`ServerMessage` protos. Don't use for general (non-live, non-bidirectional) Gemini API usage such as one-shot `generateContent`, embeddings, image/video generation, or fine-tuning — use the `gemini-api` skill for those.
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。
vaila-multimodaltoolbox/vaila☆ 192026年10月8日 更新
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
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。
vaila-multimodaltoolbox/vaila☆ 192026年10月8日 更新
Use when reviewing or refactoring code that pulls apart another object's private representation, such as raw limb/byte/slot access, slice constructors, or helper methods that expose internal storage. Guides agents to find representation envy and suggest moving behavior onto the object that owns the representation, using live-image Genie tools when working in Pharo.
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。
KentBeck/SmalltalkGenie☆ 192026年7月20日 更新
Refactor messy Pharo code safely through the genie MCP tools, working from the live image (no files). Use for renames, method extraction, moving behavior, or general cleanup of existing code.
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。
KentBeck/SmalltalkGenie☆ 192026年7月20日 更新
Rename Pharo methods safely through Genie's `rename_method` MCP refactoring tool. Use when a selector should be renamed while preserving behavior, updating senders and symbol references across the live image, including as one step in larger refactorings such as clarify API names, split responsibilities, or move behavior behind better messages.
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。
KentBeck/SmalltalkGenie☆ 192026年7月20日 更新
Generate ready-to-paste AI image-gen prompts for 2D game art (character/sprite, icon/UI/item, background/tileset) that stay consistent with the project's art style across separate chat sessions in Claude/Gemini/ChatGPT chat UIs. Use when the user wants to render, generate, or create game art/sprites/icons/backgrounds with AI, or mentions an "art style bible" for a game project. Maintains a persistent `art-style-bible.md` so style doesn't drift between requests, and gives a post-generation checklist plus post-processing guidance for common technical misses (transparency, size, aspect ratio).
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。
DangQuangSE/team-development-skills☆ 192026年10月9日 更新
Use when designing, reviewing, or troubleshooting Salesforce formula fields. Triggers: 'formula field', 'cross-object formula', 'null handling', 'compile size', 'HYPERLINK', 'IMAGE', 'why is formula slow', 'formulaTreatBlanksAs', 'BlankAsZero', 'blank field handling', 'field-meta.xml formula', 'CustomField formula deploy', 'formula returns blank', 'formula field read-only on data load'. NOT for a formula field slowing a SOQL query or blocking an index — use apex/formula-field-performance-and-limits. NOT for Formula resources inside a Flow — use flow/flow-formula-and-expression-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。
PranavNagrecha/AwesomeSalesforceSkills☆ 192026年10月4日 更新
Consumer Goods Cloud setup: visit execution, retail execution, route planning, in-store task management, compliance checks, off-shelf detection, image recognition. NOT for territory planning and route optimization for sales reps - use integration/salesforce-maps-setup. NOT for B2B Commerce storefronts - use admin/b2b-commerce-store-setup.
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。
PranavNagrecha/AwesomeSalesforceSkills☆ 192026年10月4日 更新
Turn Chinese text, articles, URLs, or user-defined page plans into polished 1080×1440 Xiaohongshu image-card series in the Quiet Signal visual language. Use when creating, revising, rendering, or visually auditing 小红书图文; use quiet-signal-design alone for non-Xiaohongshu design work.
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。
oyorf/quiet-signal☆ 192026年8月24日 更新
Embeds a local video into an exact rectangular or rounded region of a screenshot or static image, preserving surrounding text, the full video, and original audio. Use when users ask to put a video inside a screenshot, replace a screenshot's video area, 图片嵌入视频, 截图变视频, 视频精准对齐, or 圆角视频合成.
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。
daftAI2026/daftAI-skills☆ 182026年10月14日 更新
Use automatically for PDF tasks, including Chinese requests like 查看PDF, 读取PDF, PDF里写了什么, 总结PDF, 分析PDF, 提取PDF文字, 识别PDF内容, or questions about any .pdf file. Prefer text extraction with pdfplumber/pypdf first, then render pages with Poppler when layout, images, tables, stamps, watermarks, or scanned content matter.
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。
MaddieMo1/Pi-Agent-Web☆ 182026年9月8日 更新
Work with Runpod GPU infrastructure and documentation. Use when Codex needs to create, deploy, manage, debug, or review Runpod Pods, Serverless workers/endpoints, templates, network volumes, Public Endpoints, Flash apps, runpodctl commands, Runpod Python SDK usage, REST/GraphQL API usage, Runpod MCP setup, Docker images for Runpod, endpoint request payloads, logs, billing/cost checks, or Runpod deployment troubleshooting.
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。
vavo/runpod-skill☆ 182026年9月26日 更新
Generate images, videos, TTS, and music through Pixazo (one API key, 80+ models). Use when Decisions has a Pixazo key or the pixazo MCP is connected.
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。
tensology/decisionsai☆ 172026年10月13日 更新
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
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。
tensology/decisionsai☆ 172026年10月13日 更新
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document 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。
tensology/decisionsai☆ 172026年10月13日 更新
Convert unstructured documents into LLM-ready structured data. Supports PDF, Word, PPT, and images; extracts paragraphs, formulas, tables, charts, and other elements in one step; generates up to 8 levels of headings; and outputs Markdown organized in reading order. Useful for field extraction, comparison and validation, knowledge retrieval, and intelligent Q&A.
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。
PaodingAI/skills☆ 172026年10月14日 更新
Compare two local documents and convert differences into LLM-ready Markdown in one synchronous call. Supports PDF, Word, PPT, and image documents accepted by Calliper, and returns a structured markdown diff table suitable for change review, clause comparison, downstream extraction, and rule-based 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。
PaodingAI/skills☆ 172026年10月14日 更新
Apply these opinionated Next.js conventions whenever writing or reviewing App Router code (14+): Server Components by default, where the 'use client' boundary belongs, the caching defaults that changed in Next 15, tag-based revalidation, treating Server Actions as public endpoints, the Metadata API, and next/image and next/font.
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。
alexander-danilenko/cortex-claude-code-plugins☆ 162026年10月13日 更新
Generate diverse creative illustrations via OpenAI Images API. Create book illustrations, editorial art, children's book art, concept illustrations, and artistic scenes. Use when user needs creative visual content for stories, articles, presentations, or artistic projects (e.g., "illustrate a fairy tale scene", "create editorial art about technology", "design children's book illustrations", "generate concept art for a story").
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新
Adspirer — AI-powered advertising and performance marketing agent. Manage Google Ads, Meta Ads (Facebook & Instagram), LinkedIn Ads, and TikTok Ads via natural language. 100+ tools for paid media campaign creation, live performance analysis, PPC keyword research with real CPC data, budget optimization, ad creative management, and cross-platform reporting. Create Search, PMax, display, image, video, and carousel campaigns. Analyze wasted ad spend, research keywords, optimize bids and ROAS, automate monitoring, and track CPA across channels. Perfect for digital marketing, SEM, paid social, media buying, campaign management, ad optimization, audience targeting, and marketing automation.
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新
Generate professional advertising images from product URLs using the Ad-Ready pipeline on ComfyDeploy. Use when the user wants to create ads for any product by providing a URL, optionally with a brand profile (70+ brands) and funnel stage targeting. Supports model/talent integration, brand-aware creative direction, and multi-format output. Differs from Morpheus (manual fashion photography) — Ad-Ready is URL-driven, brand-intelligent, and funnel-stage aware.
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新
Render Aavegotchi assets by deriving renderer hashes from Goldsky Base core data and calling POST /api/renderer/batch on www.aavegotchi.com. Use when the user gives a tokenId or inventory URL, or when deterministic hash plus image artifacts are required.
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新
Render Aavegotchi assets by deriving renderer hashes from Goldsky Base core data and calling POST /api/renderer/batch on www.aavegotchi.com. Use when the user gives a tokenId or inventory URL, or when deterministic hash plus image artifacts are required.
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新
Generate 3D models using each::sense AI. Create 3D assets from text or images for games, products, architecture, characters, vehicles, and more with PBR textures.
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。
modbender/skill-library-mcp☆ 162026年9月28日 更新