Scan to join WeChat groupBrowse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.
Automatically process unprocessed audio and image files in Gastrohem daily WhatsApp folders. This skill should be used when the user asks to transcribe audio files, perform OCR on images, or process m…
Two Fokker-Plancks per staging gate, conditioned on (rama OR goblins)
Running batch inference on Google Cloud (also known as Vertex AI)
Integrates Gemini AI for content generation. Use when adding AI features, generating project descriptions, implementing rate limiting, or working with geminiService.ts. Includes prompting guidelines a…
Comprehensive reference for Google's Gemini API. Use when building applications with: (1) Gemini models (Gemini 3 Pro, 2.5 Flash/Pro/Flash-Lite) for text and multimodal generation, (2) Image generatio…
Use Gemini Flash for quick tasks: reading PDFs, processing images, analyzing screenshots, summarizing documents. Fast, cheap, 1M+ token context.
Guide for implementing Google Gemini API image generation - create high-quality images from text prompts using gemini-2.5-flash-image model. Use when generating images, creating visual content, or imp…
Google Gemini API Integration Guide: Provides best practices for AI analysis, prompt engineering, streaming responses, and multimodal processing. Use when: Need to integrate Gemini API, write prompts,…
Gay.jl integration for bisimulation games with proper hue-based trit derivation and GF(3) conservation
Deterministic color generation with SplitMix64, GF(3) trits, and MCP tools for palettes and threads.
Multimodal AI processing using Google Gemini. Use for analyzing PDFs, images, videos, YouTube links, and other large documents. Ideal when you need to extract information from files that require visio…
Guide for implementing Google Gemini API audio capabilities - analyze audio with transcription, summarization, and understanding (up to 9.5 hours), plus generate speech with controllable TTS. Use when…
Get a second opinion from Gemini 3 Pro with Google Search grounding and vision. Use when you need real-time web information, want to verify facts, need a different perspective on a technical question,…
Generate consistent medieval manuscript-style illustrations for the Scholastic Bible using Gemini Imagen. Use when creating images, illustrations, artwork, or visuals for Bible pages, parables, book h…
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…
Invoke Gemini CLI as a partner AI developer for tasks benefiting from its 1M token context window or a second opinion. Use when analyzing large codebases, generating documentation, getting alternative…
Wide-gamut color sampling with splittable determinism using Pigeons.jl
Deterministic color generation with SplitMix64, GF(3) trits, and MCP. Colors are the perceptual rendering of solved constraint systems.
Integrate Google Gemini API for AI-powered QA checklist generation and structured output. Use when working with Gemini API calls, generating QA checklists from design specs, parsing AI responses, or i…
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 worki…
Generates images using Google's Gemini model. Prioritizes standard resolution to save quota. Automatically opens images on macOS.
Google python-genai SDK for Gemini 3 Flash, Gemini 3 Pro, and Gemini models. Use when building with Google's Gemini API, google-genai, implementing thinking/reasoning, structured outputs, function cal…
Use Gemini Pro for deep reasoning: complex analysis, domain expertise, nuanced explanations, research, detailed knowledge.
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.