Skill UI

This guide provides a comprehensive reference on Agent Skills, a standardized and powerful method for providing structured context, workflows, and tools to Large Language Models (LLMs). It details the anatomy of the SKILL.md file, the three-stage progressive disclosure loading process, and best practices for creating both capability (tool-based) and process (workflow-based) primitives. Use this resource when designing, reviewing, or debugging agent-driven applications to ensure reliable and context-efficient performance.

Agent-native knowledge compiler for embodied-AI development. Consults, searches, and verifies a typed graph of papers, ROS packages, models, datasets, and benchmarks to assemble grounded, source-linked implementation workflows and capabilities.

Synchronize retail prices between ERP/POS masters and Electronic Shelf Labels (SES-imagotag, ZKONG, Pricer, Hanshow, SOLUM) using SHA256 delta watermarks, monotonic idempotency keys, RF gateway throttling, and e-paper battery models to guarantee shelf-edge price parity.

Extract structured tabular data from PDFs, spreadsheets, and images using layout-aware detection and configurable table models. Supports markdown and JSON output formats with detailed cell access.

This skill rewrites user prompts to reduce false-positive safety triggers in AI models without bypassing policies or altering intent. It specifically targets cyber, bio/chem, and reasoning classifiers by abstracting sensitive domains and reframing offensive language into defensive equivalents. Useful for developers and researchers needing to test or discuss sensitive topics within safety guardrails.

Provide guidance and patterns for text-to-speech and speech-to-text using fal.ai audio models, suitable for converting text to natural speech or transcribing audio to text in various applications.

This skill enables users to generate high-quality images and videos by leveraging the powerful AI models provided by fal.ai. It is suitable for creative workflows, content creation, and prototyping where visual assets are needed quickly. Users can specify parameters to customize the output style and format for various applications.

Provides platform APIs for managing AI models, pricing, and usage tracking. Use it to automate model operations, monitor costs, and track consumption on fal.

This AI-powered skill enables users to upscale and enhance the resolution of images and videos. It improves visual quality by increasing pixel density and clarity through advanced machine learning models. Suitable for content creators, developers, and professionals needing higher resolution media assets for various applications.

Generate workflow JSON files for chaining AI models. This skill provides guidance and patterns for creating structured workflows that link multiple AI models in sequence, enabling complex multi-step AI pipelines.

Design free tiers for developer tools that convert to paid without fostering resentment or abuse. Covers freemium models, usage limits, feature gating, and conversion triggers, helping you balance adoption and revenue.

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.