Complete CI/CD video processing system. PROACTIVELY activate for: (1) GitHub Actions FFmpeg setup, (2) GitLab CI video pipelines, (3) Jenkins declarative pipelines, (4) FFmpeg caching strategies, (5) Windows runner workarounds, (6) GPU-enabled self-hosted runners, (7) Matrix builds for multi-format, (8) Artifact upload/download, (9) Video validation workflows, (10) BtbN/FFmpeg-Builds integration. Provides: YAML workflow examples, Docker container patterns, caching configuration, platform-specific solutions, debugging guides. Ensures: Fast, reliable video processing in CI/CD pipelines.

Complete Cloudflare Container FFmpeg system. PROACTIVELY activate for: (1) Cloudflare Containers setup, (2) Native FFmpeg at edge, (3) GPU-accelerated containers, (4) Durable Objects integration, (5) R2 storage for video files, (6) Container autoscaling, (7) Streaming large files, (8) Workers + Containers architecture, (9) Live streaming relay at edge, (10) Container vs Workers comparison. Provides: Dockerfile examples, Worker code, container configuration, GPU setup, R2 integration, production patterns. Ensures: Native FFmpeg performance at Cloudflare edge with full GPU support.

Complete GPU-accelerated encoding/decoding system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) NVIDIA NVENC/NVDEC encoding, (2) Intel Quick Sync Video (QSV), (3) AMD AMF encoding, (4) Apple VideoToolbox, (5) Linux VAAPI setup, (6) Vulkan Video 8.0 (FFv1, AV1, VP9, ProRes RAW), (7) VVC/H.266 hardware decoding (VAAPI/QSV), (8) GPU pipeline optimization with pad_cuda, (9) Docker GPU containers, (10) Performance benchmarking. Provides: Platform-specific commands, preset comparisons, quality tuning, full GPU pipeline examples, Vulkan compute codecs, VVC decoding, troubleshooting guides. Ensures: Maximum encoding speed with optimal quality using GPU acceleration.

Complete karaoke subtitle system and advanced animated text effects. PROACTIVELY activate for: (1) Karaoke-style highlighted lyrics, (2) ASS/SSA advanced subtitle styling, (3) Scrolling credits (horizontal/vertical), (4) Typewriter text animation, (5) Bouncing/moving text, (6) Text fade in/out effects, (7) Word-by-word text reveal, (8) Kinetic typography, (9) Lower thirds animation, (10) Countdown timers and dynamic text. Provides: ASS karaoke timing format, drawtext with time expressions, scrolling text patterns, text animation formulas, kinetic typography techniques, subtitle styling reference, multi-line animated text.

Complete Modal.com FFmpeg deployment system for serverless video processing. PROACTIVELY activate for: (1) Modal.com FFmpeg container setup, (2) GPU-accelerated video encoding on Modal (NVIDIA, NVENC), (3) Parallel video processing with Modal map/starmap, (4) Volume mounting for large video files, (5) CPU vs GPU container cost optimization, (6) apt_install/pip_install for FFmpeg, (7) Python subprocess FFmpeg patterns, (8) Batch video transcoding at scale, (9) Modal pricing for video workloads, (10) Audio/video processing with Whisper. Provides: Image configuration examples, GPU container patterns, parallel processing code, volume usage, cost comparisons, production-ready FFmpeg deployments. Ensures: Efficient, scalable video processing on Modal serverless infrastructure.

Complete FFmpeg + OpenCV + Python integration guide for video processing pipelines. PROACTIVELY activate for: (1) FFmpeg to OpenCV frame handoff, (2) cv2.VideoCapture vs ffmpeg subprocess, (3) BGR/RGB color format conversion gotchas, (4) Frame dimension order img[y,x] vs img[x,y], (5) ffmpegcv GPU-accelerated video I/O, (6) VidGear multi-threaded streaming, (7) Decord batch video loading for ML, (8) PyAV frame-level processing, (9) Audio stream preservation with video filters, (10) Memory-efficient frame generators, (11) OpenCV + FFmpeg + Modal parallel processing, (12) Pipe frames between FFmpeg and OpenCV. Provides: Color format conversion patterns, coordinate system gotchas, library selection guide, memory management, subprocess pipe patterns, GPU-accelerated alternatives to cv2.VideoCapture. Ensures: Correct integration between FFmpeg and OpenCV without color/coordinate bugs. See also: ffmpeg-python-integration-reference for type-safe parameter mappings.

Complete live streaming and protocol system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) RTMP streaming to Twitch/YouTube/Facebook, (2) HLS output and adaptive bitrate (ABR), (3) DASH streaming setup, (4) Low-latency streaming (LL-HLS, LL-DASH), (5) SRT protocol configuration, (6) WebRTC/WHIP sub-second latency (FFmpeg 8.0+), (7) Protocol conversion (RTMP to HLS), (8) Multi-destination streaming, (9) nginx-rtmp integration, (10) Docker streaming services. Provides: Platform-specific stream commands, ABR ladder examples, encryption setup, latency optimization, WHIP authentication, production patterns. Ensures: Reliable live streaming with optimal quality and latency.

Complete audio visualization system. PROACTIVELY activate for: (1) Animated waveforms (showwaves), (2) Static waveform images (showwavespic), (3) Spectrum analyzers (showspectrum), (4) Frequency bar visualizations (showfreqs), (5) Stereo vectorscope (avectorscope), (6) Musical note display (showcqt), (7) SoundCloud-style waveforms, (8) Music video visualizers, (9) Podcast waveform videos, (10) Combined visualization dashboards. Provides: Filter parameter tables, color scheme options, scale comparisons, template commands for music videos and podcasts. Ensures: Professional audio visualizations for content creation.

Complete browser-based FFmpeg system. PROACTIVELY activate for: (1) ffmpeg.wasm setup and loading, (2) Browser video transcoding, (3) React/Vue/Next.js integration, (4) SharedArrayBuffer and COOP/COEP headers, (5) Multi-threaded ffmpeg-core-mt, (6) Cloudflare Workers limitations, (7) Custom ffmpeg.wasm builds, (8) Memory management and cleanup, (9) Progress tracking and UI, (10) IndexedDB core caching. Provides: Framework-specific examples, header configuration, common operation recipes, performance optimization, troubleshooting guides. Ensures: Client-side video processing without server dependencies.

Review code changes for FFP project standards including multi-tenant security, British English, architecture patterns, and SOLID principles. Use when reviewing PRs, checking branch changes, or auditing code quality.

Expert guidance for ffuf web fuzzing during penetration testing, including authenticated fuzzing with raw requests, auto-calibration, and result analysis

Testing toolkit for the FHIR Writing Clinical Notes specification at connectathons. Use when the user needs to test FHIR DocumentReference write operations, validate conformance with the Writing Clinical Notes spec, or participate in a FHIR connectathon for clinical notes. Includes templates, OAuth helpers, and automated test scenarios for both provider-authored and patient-asserted notes.

FHIR R4 resource generation and validation for healthcare interoperability. Converts medical data into FHIR-compliant JSON resources (Patient, Observation, MedicationRequest, Condition, etc.). Use when creating FHIR resources, validating healthcare data structures, or preparing data for EHR integration.

Comprehensive FHIR (Fast Healthcare Interoperability Resources) software development assistant. Use when working with FHIR APIs, implementations, or healthcare data exchange. Supports FHIR R4, R4B, R5, Implementation Guides (IGs), validation, terminology, and SMART on FHIR. Ideal for building FHIR servers, clients, validators, or healthcare applications that need to process FHIR resources.

Use when writing or editing novels, short stories, or any fiction manuscript. Trigger on: 'write fiction', 'edit my novel', 'developmental edit', 'line edit', 'character voice', 'plot hole', 'brainstorm', or fiction writing tasks.

Validate field completeness, format correctness, and data quality for vehicle insurance CSV/Excel files.

This skill processes files containing figlet tags and replaces them with ASCII art representations. It detects and preserves comment styles (forward slash forward slash, hash, double-dash, forward slash asterisk), automatically manages Node.js dependencies, and supports 400+ fonts (defaulting to the standard font). The skill should be used when a user requests converting marked text in a file to ASCII art using figlet tag syntax, or when they want to list available fonts.

Extract design assets and metadata from Figma using the Figma REST API.

Extract and analyze Figma designs to create structured design specifications. Use this skill when you need to analyze Figma nodes, extract design properties (layout, spacing, typography), classify components using Atomic Design principles, and generate design specification documents that can be used for implementation.

figma-design-extraction

Extracts design tokens from Figma files and generates production-ready CSS, SCSS, JSON, TypeScript, and W3C DTCG format files using the Figma MCP server

Generate Figma mockups from wrangler specifications with hierarchical file structure and approval tracking

Extract design specifications from Figma designs using the Figma MCP server. Used during planning workflows to gather detailed design context for implementation.

Analyzes Figma designs and generates implementation-ready PRDs with detailed visual specifications. Use when user provides Figma link or uploads design screenshots. Requires Figma MCP server connection.

Extract components from Figma, convert designs to React components, sync design tokens, and generate code from designs. Bridge the gap between design and code with automated workflows.

Extract design specifications from Figma files using MCP integration.

Pixel-perfect implementation of Figma designs. When Claude needs to translate Figma designs into code with precise attention to autolayout, variables, and styles.

Convert Figma designs into Flutter code through an automated workflow that extracts design metadata, generates reference code, exports assets, implements the UI, and iteratively tests until the implem

Create FilamentPHP v4 actions with modals, confirmation, forms, and bulk operations

Create FilamentPHP v4 dashboard pages with single-tab or multi-tab layouts, message callouts, and widget integration

Create FilamentPHP v4 forms with fields, validation, sections, tabs, and relationships

Create FilamentPHP v4 infolists with entries, sections, and layouts for view pages

Generate FilamentPHP v4 resources with form, table, relation managers, and actions

Create FilamentPHP v4 tables with columns, filters, sorting, search, and bulk actions

Generate Pest tests for FilamentPHP v4 resources, forms, tables, and authorization

Create FilamentPHP v4 dashboard widgets - stats overviews, charts, and custom components

This skill handles file format conversions across documents (PDF, DOCX,

How to use the file-factory CLI to create new React components, hooks, context providers, Next.js pages along with associated tests and storybook stories. ALWAYS use this tool instead of manually creating new components/hooks/contexts/pages to ensure consistent file structure and conventions.

Specifies file management guidelines, including including full file paths as comments, updating project structure in AI.MD, and maintaining package.json. This rule ensures organized and well-documente

Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.

File Organization Standards Skill

[PROJECT] file and directory structure conventions and enforcement

File permission test. Use for testing.

Example skill demonstrating secure file reference resolution with supporting files

Organizes or restructures files and directories according to a specified hierarchy or categorization scheme. Analyzes existing structures, creates new directory trees, intelligently moves files based on content and naming patterns, and verifies the final organization.

Convert any file to markdown format using the markitdown library. Use this skill when users need to convert documents (PDF, DOCX, XLSX, PPTX, images, HTML, CSV, JSON, XML, audio files, etc.) into markdown format for easier reading, editing, or integration into markdown-based workflows.

This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integrating with slash commands and code review processes.