Catalog
Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
Find and export SVG icons across icon libraries for UI work
Use Better Icons when an agent needs to search icon sets, compare matches, and return the exact SVG asset needed for a UI task. It is a narrow asset-selection skill, not a generic icon platform listing.
Filter prompts and model outputs for injection, secrets, toxicity, and policy risks with LLM Guard
Screen prompts and responses with input and output scanners before an LLM interaction reaches production users or downstream systems.
files-to-prompt Directory Concatenator for LLM Context
files-to-prompt by Simon Willison concatenates an entire directory of files into a single prompt for use with LLMs. It supports file extension filtering, gitignore-aware exclusions, Claude XML format output, Markdown fenced code blocks, line numbering, and stdin piping for flexib
FilePond Flexible JavaScript File Upload Library
FilePond is a JavaScript file upload library that handles files, directories, URLs, and Data URIs with drag-and-drop, paste, and API support. It includes built-in image optimization, async chunked uploads, and adapters for React, Vue, Angular, and Svelte.
Figma REST API Asset Exporter
Exports design assets from Figma files using the GET /v1/files/:key and /v1/images/:key endpoints. Supports SVG, PNG, and PDF export with scale and format parameters.
Figma Export Automator
Exports assets from Figma files using the Figma REST API v1. Extracts component sets, design tokens (colors, typography, spacing), and renders frames as SVG/PNG. Generates CSS custom properties from styles.
Figma Design Token Extractor
Extracts design tokens from Figma files using the Figma REST API and style-dictionary. Generates CSS custom properties, Tailwind configs, and Swift/Kotlin theme files from Figma components.
Figma Design Token Exporter
Extracts design tokens from Figma files using the Figma REST API v1 and transforms them into platform-specific formats via Style Dictionary. Supports CSS custom properties, Tailwind config, and iOS/Android native tokens.
ffsubsync Subtitle Synchronization Tool
ffsubsync automatically aligns subtitle files to spoken audio by analyzing timing from a reference video or audio file. It is a strong fit for agent workflows that need to repair drifting subtitles without manual waveform editing.
FFmpeg Video Processing Pipeline
Builds complex FFmpeg filtergraph chains for batch video transcoding, thumbnail sprite generation, and HLS adaptive bitrate packaging. Supports NVIDIA NVENC hardware acceleration and HDR tone mapping.
FFmpeg Thumbnail Mosaic Generator
Creates video thumbnail mosaics and sprite sheets using FFmpeg filters and the fluent-ffmpeg Node.js wrapper. Generates contact sheets, animated GIF previews, and WebVTT thumbnail tracks.
FFmpeg Thumbnail Grid Generator
Generates contact-sheet-style thumbnail grids from video files using FFmpeg tile filter and libvips. Supports customizable grid dimensions, timestamp overlays, and batch processing across directories.
FFmpeg Media Transcoder
Automated video and audio transcoding using FFmpeg with hardware-accelerated encoding via NVENC/VAAPI, HLS adaptive streaming output, and MediaInfo-based quality validation.
FFmpeg Intelligent Media Processor
Orchestrates complex video and audio processing pipelines using FFmpeg and FFprobe with scene detection via PySceneDetect. Handles format conversion, thumbnail generation, HLS packaging, and loudness normalization per EBU R128.
FFmpeg Clip Extractor
Extracts video clips and segments using FFmpeg libavformat and libavcodec APIs. Supports keyframe-accurate cutting with -ss/-to flags, stream copy mode, and re-encoding via libx264/libx265 presets.
FFmpeg Batch Transcoder
Batch transcode media files using FFmpeg CLI with preset profiles for web, mobile, and broadcast delivery. Supports hardware-accelerated encoding via NVENC/VAAPI and automated quality analysis with VMAF scoring.
FFmpeg Batch Transcode Pipeline
Orchestrates parallel FFmpeg transcoding jobs with hardware-accelerated encoding via NVENC, VAAPI, or VideoToolbox. Supports HLS adaptive bitrate packaging using ffmpeg -f hls with multiple -map streams and fmp4 segment formatting for DASH output.
FFmpeg Audio Transcoder
Transcodes and processes audio files using the FFmpeg CLI and libavcodec library. Supports batch format conversion, loudness normalization via EBU R128, and metadata extraction with ffprobe.
FFmpeg Audio Normalization Pipeline
Normalizes audio loudness to broadcast standards using FFmpeg loudnorm filter with EBU R128 two-pass analysis. Measures integrated LUFS, true peak, and loudness range via ffmpeg -af loudnorm=print_format=json.
Feroxbuster Fast Recursive Content Discovery Tool in Rust
Feroxbuster is a high-performance content discovery tool written in Rust that performs forced browsing attacks to enumerate hidden files, directories, and endpoints on web servers. It features recursive scanning, smart filtering, and extensive output options.
fd Fast File Finder CLI
A fast and user-friendly alternative to the find command, written in Rust. fd provides intuitive syntax, regex and glob support, colorized output, parallel execution, and automatic .gitignore awareness.
Faust.js Headless WordPress Toolkit for Next.js
Faust.js by WP Engine is a JavaScript framework and WordPress plugin that streamlines building headless WordPress sites with Next.js. It handles data fetching via WPGraphQL, authentication, content previews, and server-side rendering, providing a production-ready bridge between W
FastMCP Python MCP Server and Client Framework
FastMCP is the standard Python framework for building Model Context Protocol servers, clients, and applications. It provides automatic schema generation, transport negotiation, and protocol lifecycle management, letting developers wrap Python functions into MCP-compliant tools wi
faster-whisper High-Performance Speech Transcription Engine
faster-whisper is a reimplementation of OpenAI's Whisper model using CTranslate2 that delivers up to 4x faster transcription with lower memory usage. It supports CPU and GPU inference with 8-bit quantization, batch processing, word-level timestamps, and VAD filtering for accurate