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SkillsMP has collected 5,417 skills from majiayu000/claude-skill-registry. Open a skill to review its source and details.
majiayu000/claude-skill-registryShowing 40 of 5,417 collected skills.
Generate images with Gemini 3 Pro Image (Nano Banana Pro). Covers 4K generation, text rendering, grounded generation with Google Search, conversational editing, and cost optimization. Use when creating images, generating 4K images, editing images…
Process multimodal inputs (images, video, audio, PDFs) with Gemini 3 Pro. Covers image understanding, video analysis, audio processing, document extraction, media resolution control, OCR, and token optimization. Use when analyzing images, processing video,…
Gemini 3 Pro API/SDK integration for text generation, reasoning, and chat. Covers setup, authentication, thinking levels, streaming, and production deployment. Use when working with Gemini 3 Pro API, Python SDK, Node.js SDK, text generation, chat…
Use when the user asks to run Gemini CLI for code review, plan review, big context (>200k) processing or when the user explicitly requests Gemini cli operation orchestrated by you. Ideal for comprehensive analysis requiring large context windows. Uses Gemini…
Setup and manage Gemini CLI authentication methods including OAuth, API keys, and Vertex AI. Use when configuring Gemini access, switching auth methods, or troubleshooting authentication issues.
Process large volumes of requests using Gemini Batch API via scripts/. Use for batch processing, bulk text generation, processing JSONL files, async job execution, and cost-efficient high-volume AI tasks. Triggers on "batch processing", "bulk requests",…
This skill should be used when the user asks to "use Gemini Batch API", "process documents at scale", "submit a batch job", "upload files to Gemini", or needs large-scale LLM processing. Includes production gotchas and best practices.
This skill should be used when the user asks to "use Gemini Batch API", "process documents at scale", "submit a batch job", "upload files to Gemini", or needs large-scale LLM processing. Includes production gotchas and best practices.
Configure or debug LLM blog post generation using Vercel AI SDK and Google Gemini. Use when updating blog generation prompts, fixing AI integration issues, modifying content generation logic, or working with structured output schemas.
Transcribe audio/video using Gemini 2.5/3 Pro API with structured output
Translate subtitles to target language using Gemini API with context-aware translation
Interactive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence. Use for extended AI conversations, brainstorming, or collaborative problem-solving.
Integrate Gemini AI CLI into Claude Code for AI collaboration, code analysis, and tool execution. Use when working with Gemini AI, Google AI, multimodal tasks, or needing advanced AI capabilities.
Use Google's Gemini CLI for web-grounded research (Google Search), automation via one-shot prompts, and second-opinion review. Use when you need structured JSON output, fast scripting workflows, or cross-AI validation.
Run Gemini CLI commands from Claude with correct Node version. Use when user asks to run Gemini CLI, test Gemini traces, or debug Gemini telemetry.
Comprehensive guide for integrating Gemini CLI as research assistant. Use when you need to delegate research to Gemini, understand its capabilities vs Claude's, or determine the right tool for a task.
Executes tasks using the Gemini CLI (`gemini`). Automatically determines the safest approval mode (plan, auto_edit, or yolo) based on the task type.
Generate text embeddings using Gemini Embedding API via scripts/. Use for creating vector representations of text, semantic search, similarity matching, clustering, and RAG applications. Triggers on "embeddings", "semantic search", "vector search", "text…
Gemini CLI for one-shot Q&A, summaries, and generation.
Upload and manage files using Google Gemini File API via scripts/. Use for uploading images, audio, video, PDFs, and other files for use with Gemini models. Supports file upload, status checking, and file management. Triggers on "upload file", "file API",…
Google Gemini API integration and model orchestration
Create distinctive, production-grade frontend interfaces using Gemini 3 Pro for design ideation. Use this skill when you want Gemini's creative perspective on web components, pages, or applications. Generates bold, polished code that avoids generic AI…
Delegiere Aufgaben an Gemini CLI im Headless-Mode. Nutze fuer Dokumentation, Code-Reviews, Analysen oder wenn der User /gemini aufruft. Nutzt Google Subscription (KEIN API Key). Auto-Accept mit -y Flag.
Source text: German
Generate images using Google Gemini and Imagen models via scripts/. Use for AI image generation, text-to-image, creating visuals from prompts, generating multiple images, custom aspect ratios, and high-resolution output up to 4K. Triggers on "generate image",…
Edit existing images with text prompts using fal.ai Gemini 3 Pro. Use when the user wants to modify, edit, transform, or change an existing image based on a text description. Supports multiple input images for context.
Image generation with Google Gemini API. Models: gemini-2.5-flash-image (fast) or gemini-3-pro-image-preview (quality). For social media graphics, marketing, infographics.
Generate images using Google's Gemini API — hero backgrounds, OG images, placeholder photos, textures, and style-matched variants. Uses free-tier models for drafts, paid for finals. No dependencies beyond Python 3. Trigger with 'generate image', 'gemini…
Patterns for prompting Gemini to generate conceptual images for game development. Use when creating concept art, UI mockups, character designs, environment sketches, or visual references.
Invoke Google Gemini for image generation and understanding using the Python google-genai SDK. Supports gemini-3-pro-image-preview (generation + understanding), gemini-2.5-flash-image (fast generation), and vision models for analysis.
This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product…
Get alternative perspectives via Google Gemini on complex design decisions, architecture trade-offs, stuck debugging, or approach evaluation.
Source text: Japanese
Gemini CLI for one-shot Q&A, summaries, and generation.
Gemini CLI for one-shot Q&A, summaries, and generation.
Invoke Google Gemini 3 Pro for text generation, reasoning, and code tasks using the Python google-genai SDK. Supports gemini-3-pro-preview (best multimodal), gemini-2.5-pro (reasoning), and gemini-2.5-flash (fast).
Manage MCP (Model Context Protocol) servers with Gemini CLI for extended tool capabilities, custom integrations, and enterprise workflows. Use when integrating external tools, databases, or APIs with Gemini.
Cross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that…
Get a second opinion from Gemini on code, architecture, debugging, or security. Uses direct Gemini API calls — no CLI dependencies. Trigger with 'ask gemini', 'gemini review', 'second opinion', 'peer review', or 'consult gemini'.
[CLAUDE CODE ONLY] Leverage Gemini CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, alternative approaches, and holistic codebase analysis. Requires terminal access to…
Minimal implementation of Recursive Language Models (RLM) using Gemini 2.0 Flash and a local Python REPL. Enables processing of massive contexts via the Gemini CLI.
Gemini CLI for one-shot Q&A, summaries, and generation.