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By JosiahSiegel
Build production Python 3.13+ projects with async FastAPI apps, pytest testing, uv packaging, Ruff linting, GitHub Actions CI/CD, Cloudflare Workers deployment, and Modal serverless for GPU-accelerated video pipelines using OpenCV and FFmpeg.
npx claudepluginhub josiahsiegel/claude-plugin-marketplace --plugin python-masterBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Complete Python asyncio system. PROACTIVELY activate for: (1) async/await syntax, (2) asyncio.gather for concurrent execution, (3) TaskGroup (3.11+), (4) Semaphores for rate limiting, (5) Timeouts with asyncio.timeout, (6) Producer-consumer with Queue, (7) Async generators and context managers, (8) uvloop performance, (9) Common async gotchas. Provides: Concurrent patterns, I/O optimization, async libraries (aiohttp, httpx, asyncpg). Ensures correct async patterns without blocking.
Complete Python Cloudflare deployment system. PROACTIVELY activate for: (1) Python Workers with Pyodide, (2) FastAPI on Workers, (3) Cloudflare Containers for heavy compute, (4) Service bindings (RPC), (5) Environment variables in Workers, (6) Cold start optimization, (7) Workflows for durable execution, (8) GPU containers for AI. Provides: Worker code patterns, wrangler config, Dockerfile templates, FastAPI integration. Ensures edge deployment with proper architecture choices.
Complete FastAPI production system. PROACTIVELY activate for: (1) Project structure (scalable layout), (2) Pydantic schemas (input/output separation), (3) Dependency injection, (4) Async database with SQLAlchemy, (5) JWT authentication, (6) Error handling patterns, (7) Docker deployment, (8) Gunicorn + Uvicorn production, (9) Rate limiting, (10) Testing with httpx. Provides: Project templates, schema patterns, auth setup, Docker config. Ensures production-ready FastAPI applications.
Comprehensive guide to using FFmpeg with Python for video/audio processing, encoding, streaming, and media manipulation.
Complete Python 3.13+ fundamentals system. PROACTIVELY activate for: (1) Python 3.13 free-threading (no-GIL), (2) JIT compiler usage, (3) Pattern matching syntax, (4) Walrus operator, (5) F-string features 3.12+, (6) Type parameter syntax 3.12+, (7) Exception groups, (8) Dataclasses and enums, (9) Context managers. Provides: Modern syntax, performance features, best practices, naming conventions. Ensures correct Python 3.13+ patterns with optimal performance.
Complete FFmpeg expertise system with comprehensive coverage of FFmpeg 8.0.1 (2025-11-20) features, VIRAL VIDEO CREATION for TikTok/YouTube Shorts/Instagram Reels/Twitter, KINETIC CAPTIONS (word-grow karaoke, bounce, pop, elastic, spring physics), hardware acceleration (NVIDIA NVENC, Intel QSV, AMD AMF, VAAPI, Vulkan), Docker/container usage, Modal.com serverless containers (CPU/GPU), Cloudflare Workers/WebAssembly (ffmpeg.wasm), CI/CD runner optimization (GitHub Actions), live streaming (RTMP/HLS/DASH/SRT/WebRTC/WHIP), audio processing and normalization, encoding optimization (CRF, presets, quality tuning), FFmpeg + OpenCV integration, PyAV Python bindings (FFmpeg 8.0+ compatible), and common gotchas/troubleshooting. PROACTIVELY activate for: (1) ANY FFmpeg task (encoding, transcoding, streaming, filtering), (2) VIRAL VIDEO creation (TikTok, YouTube Shorts, Instagram Reels, Twitter/X), (3) Short-form vertical video (9:16 aspect ratio), (4) Auto-captions and animated subtitles (CapCut-style), (5) KINETIC CAPTIONS with word-grow, bounce, pop, elastic effects, (6) Karaoke-style word highlighting with animations, (7) Video hook optimization (first 3 seconds), (8) Multi-platform batch export, (9) Social media video optimization, (10) Video format conversion (MP4, WebM, MKV, AVI), (11) Hardware acceleration setup (NVENC, CUDA, QSV, VAAPI, AMF, Vulkan), (12) Docker container FFmpeg usage (jrottenberg/ffmpeg, linuxserver/ffmpeg), (13) Modal.com serverless video processing (GPU/CPU containers, parallel processing, volumes), (14) Browser/WebAssembly FFmpeg (ffmpeg.wasm), (15) Cloudflare Workers video processing, (16) GitHub Actions/CI pipeline video processing, (17) Live streaming setup (RTMP ingest, HLS/DASH/WHIP/WebRTC delivery), (18) Audio encoding/normalization (AAC, MP3, loudnorm, EBU R128), (19) Quality optimization (CRF, bitrate, presets), (20) FFmpeg debugging and error resolution, (21) VVC/H.266, AV1, HEVC encoding, (22) Filter graphs and complex filtergraphs, (23) Batch processing and automation, (24) Whisper AI subtitle generation, (25) Content creator workflows, (26) FFmpeg to OpenCV frame handoff, (27) cv2.VideoCapture vs ffmpeg subprocess, (28) BGR RGB color format conversion gotchas, (29) Frame dimension order img[y,x] vs img[x,y], (30) ffmpegcv GPU-accelerated video I/O, (31) VidGear multi-threaded streaming, (32) Decord batch video loading for ML, (33) PyAV frame-level processing (av.open, VideoFrame, AudioFrame, filter graphs), (34) Pipe frames between FFmpeg and OpenCV, (35) OpenCV + FFmpeg + Modal parallel processing, (36) PyAV installation on Ubuntu 20.04/22.04/24.04, (37) Building PyAV against custom FFmpeg, (38) PyAV FFmpeg 8.0+ compatibility and features. Provides: KINETIC CAPTIONS skill (word-grow karaoke, spring physics, elastic bounce, platform-specific timing), VIRAL VIDEO skills (platform specs, hook templates, animated captions, batch social export), PyAV integration skill (installation guides, FFmpeg 8.0+ compatibility, av.open patterns, VideoFrame/AudioFrame NumPy conversion, filter graphs, encoding/decoding, seeking, RTSP streaming, memory management, thread safety, error handling), FFmpeg 8.0.1 patch release features, FFmpeg 8.0 Huffman features (Whisper AI filter, Vulkan compute codecs for FFv1/ProRes RAW/AV1/VP9, APV codec, VVC VA-API/QSV decoding, WHIP muxer for WebRTC, colordetect/pad_cuda/scale_d3d11 filters, ProRes RAW decoder, RealVideo 6.0, G.728), FFmpeg 7.1 LTS features (VVC decoder, MV-HEVC for Apple Vision Pro, xHE-AAC, Vulkan H.264/H.265), hardware acceleration guides, Docker best practices, Modal.com parallel processing patterns, WebAssembly limitations and workarounds, CI/CD optimization strategies, streaming protocol guidance, audio processing workflows, encoding presets and recommendations, systematic debugging approaches, FFmpeg + OpenCV integration patterns, BGR/RGB color conversion, ffmpegcv/VidGear/Decord/PyAV library guidance, and production-ready 2025-2026 configurations for all platforms.
Expert bash/shell scripting system with Bash 5.3 features, 2025 security-first practices, advanced array patterns, parallel processing, and comprehensive cross-platform support. PROACTIVELY activate for: (1) ANY bash/shell script task, (2) Windows Git Bash path conversion (MSYS_NO_PATHCONV, cygpath), (3) Bash 5.3 features (${ } in-shell substitution, ${| } REPLY syntax, BASH_TRAPSIG, GLOBSORT, fltexpr, BASH_MONOSECONDS), (4) Security-first patterns (input validation, command injection prevention), (5) ShellCheck v0.11.0 validation (SC2327/SC2328, POSIX.1-2024), (6) Advanced arrays (mapfile, readarray, associative arrays, set operations), (7) Parallel processing (GNU Parallel, xargs -P, job pools, worker patterns), (8) Process substitution and FIFOs (coprocesses, named pipes, streaming), (9) String manipulation mastery (parameter expansion, regex, pattern matching), (10) Modern automation (containers/CI/CD/cloud), (11) Scripts under 50 lines (Google Style), (12) Debugging and profiling (tracing, performance optimization), (13) DevOps/deployment automation. Provides: bash-expert agent for complex tasks, /bash-analyze for script analysis, /bash-template for production-ready templates, /bash-optimize for performance optimization, utility scripts (parallel-runner, shellcheck-batch, script-profiler), comprehensive skills for array patterns, process substitution, parallel processing, and string manipulation. Ensures secure, optimized, cloud-native scripts following 2025 standards.
Complete Azure Data Factory expertise for pipeline JSON development, validation, and optimization (2025-2026). This plugin should be used for ADF pipeline creation, activity configuration, linked services, datasets, triggers, expressions, CI/CD, Microsoft Fabric integration, Databricks orchestration, ML pipeline patterns, and debugging.
Complete Vitest 4.0 Playwright 1.56 MSW 2.x testing system with 2025 best practices and Windows/Git Bash support. PROACTIVELY activate for: (1) ANY testing task (unit/integration/E2E/visual), (2) Browser Mode testing (Vitest 4.0 stable release Oct 2025), (3) Visual regression testing (toMatchScreenshot), (4) Playwright AI Test Agents (planner/generator/healer), (5) Test annotation and metadata (Vitest 3.2+), (6) Mutation testing for quality assurance, (7) Test creation and scaffolding, (8) Playwright Traces debugging with titlePath, (9) Coverage analysis and optimization, (10) MSW 2.x mock management with happy-path-first patterns, (11) Role-based locator patterns, (12) CI/CD test setup, (13) Multi-project test architecture, (14) Line-number filtering, (15) Windows/Git Bash cross-platform testing. Provides: Vitest 4.0 features (stable browser mode, visual regression with toMatchScreenshot, Playwright trace integration, toBeInViewport matcher), Playwright 1.56 features (AI agents - Planner/Generator/Healer, VS Code 1.105+ integration, titlePath hierarchy, Debian 13), MSW 2.x best practices (Fetch API primitives, domain-based handlers), Windows/Git Bash path conversion awareness and shell detection, mutation testing capabilities, intelligent test running, auto-scaffolding with boilerplate, coverage gap analysis, advanced snapshot management, parallel execution optimization, and comprehensive cross-platform 2025-compliant test infrastructure. Ensures production-ready testing with latest patterns across all platforms including Windows Command Prompt, PowerShell, Git Bash, macOS, and Linux.
Complete Azure DevOps and Azure Pipelines expertise system with Sprint 254-262 features and Windows/Git Bash compatibility (2025). PROACTIVELY activate for: (1) ANY Azure DevOps/Pipelines task, (2) YAML pipeline creation/editing with expression functions (iif, trim), (3) Windows agent Git Bash path conversion issues, (4) Cross-platform pipeline scripts (Windows/Linux/macOS), (5) Workload identity federation (OIDC) passwordless authentication, (6) Pipeline performance analytics and monitoring, (7) Template management and reusability, (8) Microsoft Security DevOps (MSDO) integration, (9) Stage dependencies visualization, (10) Agent v4 with ARM64 support, (11) New OS images (Ubuntu-24.04, Windows-2025, macOS-15), (12) GitHub Copilot integration (Sprint 262), (13) OAuth apps migration to Entra ID (Sprint 261), (14) Continuous Access Evaluation (CAE), (15) Pipeline debugging/troubleshooting, (16) CI/CD optimization, (17) Security/compliance implementation, (18) Azure DevOps CLI operations. Provides: Windows/Git Bash path handling mastery (MSYS_NO_PATHCONV, cygpath, shell detection), cross-platform script patterns, MINGW path conversion guidance, Windows agent troubleshooting, Sprint 254-262 latest features, workload identity federation setup and migration guidance (2025 security standard), pipeline performance analytics and cost tracking, Agent v4 on .NET 8 with ARM64 platform support, Microsoft Defender for DevOps with MSDO extension (replaces deprecated CredScan), GitHub Advanced Security integration, template patterns for code reuse, iif() ternary operator and trim() function, stage-level variables and dependency visualization, Ubuntu-24.04/Windows-2025/macOS-15 hosted agents, GitHub Copilot work item integration, latest YAML schema (always researches current docs), Microsoft best practices, multi-stage pipeline patterns, caching/parallelization, Azure Key Vault integration, comprehensive security scanning (SAST/dependency/container/IaC/secrets), deployment strategies, performance optimization, systematic debugging, and cost efficiency analysis. Ensures production-ready, secure, efficient, cross-platform pipelines following Microsoft 2025 standards.
Complete FFmpeg expertise system with comprehensive coverage of FFmpeg 8.0.1 (2025-11-20) features, VIRAL VIDEO CREATION for TikTok/YouTube Shorts/Instagram Reels/Twitter, KINETIC CAPTIONS (word-grow karaoke, bounce, pop, elastic, spring physics), hardware acceleration (NVIDIA NVENC, Intel QSV, AMD AMF, VAAPI, Vulkan), Docker/container usage, Modal.com serverless containers (CPU/GPU), Cloudflare Workers/WebAssembly (ffmpeg.wasm), CI/CD runner optimization (GitHub Actions), live streaming (RTMP/HLS/DASH/SRT/WebRTC/WHIP), audio processing and normalization, encoding optimization (CRF, presets, quality tuning), FFmpeg + OpenCV integration, PyAV Python bindings (FFmpeg 8.0+ compatible), and common gotchas/troubleshooting. PROACTIVELY activate for: (1) ANY FFmpeg task (encoding, transcoding, streaming, filtering), (2) VIRAL VIDEO creation (TikTok, YouTube Shorts, Instagram Reels, Twitter/X), (3) Short-form vertical video (9:16 aspect ratio), (4) Auto-captions and animated subtitles (CapCut-style), (5) KINETIC CAPTIONS with word-grow, bounce, pop, elastic effects, (6) Karaoke-style word highlighting with animations, (7) Video hook optimization (first 3 seconds), (8) Multi-platform batch export, (9) Social media video optimization, (10) Video format conversion (MP4, WebM, MKV, AVI), (11) Hardware acceleration setup (NVENC, CUDA, QSV, VAAPI, AMF, Vulkan), (12) Docker container FFmpeg usage (jrottenberg/ffmpeg, linuxserver/ffmpeg), (13) Modal.com serverless video processing (GPU/CPU containers, parallel processing, volumes), (14) Browser/WebAssembly FFmpeg (ffmpeg.wasm), (15) Cloudflare Workers video processing, (16) GitHub Actions/CI pipeline video processing, (17) Live streaming setup (RTMP ingest, HLS/DASH/WHIP/WebRTC delivery), (18) Audio encoding/normalization (AAC, MP3, loudnorm, EBU R128), (19) Quality optimization (CRF, bitrate, presets), (20) FFmpeg debugging and error resolution, (21) VVC/H.266, AV1, HEVC encoding, (22) Filter graphs and complex filtergraphs, (23) Batch processing and automation, (24) Whisper AI subtitle generation, (25) Content creator workflows, (26) FFmpeg to OpenCV frame handoff, (27) cv2.VideoCapture vs ffmpeg subprocess, (28) BGR RGB color format conversion gotchas, (29) Frame dimension order img[y,x] vs img[x,y], (30) ffmpegcv GPU-accelerated video I/O, (31) VidGear multi-threaded streaming, (32) Decord batch video loading for ML, (33) PyAV frame-level processing (av.open, VideoFrame, AudioFrame, filter graphs), (34) Pipe frames between FFmpeg and OpenCV, (35) OpenCV + FFmpeg + Modal parallel processing, (36) PyAV installation on Ubuntu 20.04/22.04/24.04, (37) Building PyAV against custom FFmpeg, (38) PyAV FFmpeg 8.0+ compatibility and features. Provides: KINETIC CAPTIONS skill (word-grow karaoke, spring physics, elastic bounce, platform-specific timing), VIRAL VIDEO skills (platform specs, hook templates, animated captions, batch social export), PyAV integration skill (installation guides, FFmpeg 8.0+ compatibility, av.open patterns, VideoFrame/AudioFrame NumPy conversion, filter graphs, encoding/decoding, seeking, RTSP streaming, memory management, thread safety, error handling), FFmpeg 8.0.1 patch release features, FFmpeg 8.0 Huffman features (Whisper AI filter, Vulkan compute codecs for FFv1/ProRes RAW/AV1/VP9, APV codec, VVC VA-API/QSV decoding, WHIP muxer for WebRTC, colordetect/pad_cuda/scale_d3d11 filters, ProRes RAW decoder, RealVideo 6.0, G.728), FFmpeg 7.1 LTS features (VVC decoder, MV-HEVC for Apple Vision Pro, xHE-AAC, Vulkan H.264/H.265), hardware acceleration guides, Docker best practices, Modal.com parallel processing patterns, WebAssembly limitations and workarounds, CI/CD optimization strategies, streaming protocol guidance, audio processing workflows, encoding presets and recommendations, systematic debugging approaches, FFmpeg + OpenCV integration patterns, BGR/RGB color conversion, ffmpegcv/VidGear/Decord/PyAV library guidance, and production-ready 2025-2026 configurations for all platforms.
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Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Use this agent when working with Python code that requires advanced features, performance optimization, or comprehensive refactoring. Examples: <example>Context: User needs to optimize a slow Python function that processes large datasets. user: "This function is taking too long to process our data, can you help optimize it?" assistant: "I'll use the python-expert agent to analyze and optimize your Python code with advanced techniques and performance profiling."</example> <example>Context: User wants to implement async/await patterns in their existing synchronous Python code. user: "I need to convert this synchronous code to use async/await for better performance" assistant: "Let me use the python-expert agent to refactor your code with proper async/await patterns and concurrent programming techniques."</example> <example>Context: User needs help implementing complex Python design patterns. user: "I want to implement a factory pattern with decorators for my API endpoints" assistant: "I'll use the python-expert agent to implement advanced Python patterns with decorators and proper design principles."</example>
Editorial "Python Pro" bundle for Claude Code from Antigravity Awesome Skills.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Harness-native ECC plugin for engineering teams - 64 agents, 262 skills, 84 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses