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By JosiahSiegel
Set up production-ready Vitest 4.0, Playwright 1.56, and MSW 2.x testing stacks for unit, integration, E2E, and visual regression tests with browser mode support. Leverage AI agents to generate tests, debug traces, optimize coverage, run mutation testing, manage mocks, and configure CI/CD across Windows/Git Bash, macOS, and Linux.
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Modern TypeScript/JavaScript testing with Vitest. Fast unit and integration tests, native ESM support, Vite-powered HMR, and comprehensive mocking. Use for testing TS/JS projects.
Auto-invoked skill for writing, debugging, and configuring Vitest tests in Vite-based projects
Test execution, TDD workflow, testing strategies, and quality analysis
TestForge - Master of quality assurance through intelligent test generation. Analyzes code behavior to auto-generate comprehensive tests that catch real bugs, not just boost coverage numbers. Supports Jest, Pytest, Vitest, and more.
JavaScript and TypeScript development toolkit with ESLint, Vitest, and unit testing best practices
Complete Git expertise for ALL operations with 2025 features. PROACTIVELY activate for: (1) ANY Git task (basic/advanced/dangerous), (2) Git 2.51+ features (stash import/export, path-walk repacking, git-backfill for partial clones, reftables 50-80% faster, sparse-checkout, worktrees), (3) Windows/Git Bash compatibility (MINGW/MSYS2 path conversion, MSYS_NO_PATHCONV, cygpath utilities, shell detection with $MSYSTEM), (4) Security (signed commits GPG/SSH, zero-trust workflows, GitHub secret scanning with AI, CodeQL, Gitleaks), (5) Trunk-Based Development with < 1 day branches (Google/Microsoft scale), (6) GitHub CLI 2.x (Copilot CLI integration, model evaluations, triangular workflows, OAuth clipboard), (7) GitHub Actions 2025 (1 vCPU runners, immutable releases, Node24), (8) Repository management and optimization, (9) Modern workflows (monorepo, parallel development), (10) Branch strategies (Gitflow, Feature Branch, TBD), (11) Conflict resolution, (12) History rewriting/recovery with safety guardrails, (13) Platform operations (GitHub/GitLab/Azure DevOps/Bitbucket). Provides: Git 2.51 stash import/export for sharing stashes between machines, path-walk repacking for smaller pack files, Git Bash/MINGW path conversion handling (MSYS_NO_PATHCONV, MSYS2_ARG_CONV_EXCL, cygpath), shell detection ($MSYSTEM, uname -s, $OSTYPE), Git 2.49 git-backfill for efficient partial clone downloads, reftables migration, sparse-checkout for monorepos (90% space reduction), worktrees for parallel development with path handling guidance, GitHub Copilot CLI (replacing gh-copilot extension), gh models eval for prompt evaluations, zero-trust security patterns with continuous monitoring, signed commits (GPG and SSH), GitHub Actions 2025 features (1 vCPU runners, immutable releases), CodeQL with Copilot Autofix, complete command reference, automatic backups before destructive operations, safety guardrails, reflog recovery, emergency procedures, cross-platform path compatibility. Ensures modern, secure, efficient Git workflows following 2025 industry standards with comprehensive Windows/Git Bash support.
Expert bash/shell scripting system with Bash 5.3 features, 2025 security-first practices, advanced array patterns, parallel processing, and comprehensive cross-platform support. PROACTIVELY activate for: (1) ANY bash/shell script task, (2) Windows Git Bash path conversion (MSYS_NO_PATHCONV, cygpath), (3) Bash 5.3 features (${ } 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 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 viral video optimization system with comprehensive 2025-2026 research-backed strategies for maximizing video virality across all platforms. PROACTIVELY activate for: (1) ANY viral video strategy (TikTok, YouTube, Instagram, Facebook), (2) Short-form content optimization (Reels, Shorts, TikTok), (3) Long-form YouTube optimization, (4) Video hook and opening optimization (1.3-second attention capture), (5) Caption and subtitle strategy (80% engagement boost), (6) Thumbnail design and CTR optimization, (7) Hashtag and SEO strategy, (8) Posting schedule optimization, (9) Content repurposing strategies, (10) Audience retention improvement, (11) Trending audio and sound selection, (12) Video editing pacing and transitions, (13) Call-to-action optimization (380% conversion increase), (14) UGC and authenticity strategies, (15) Platform algorithm understanding (TikTok, YouTube, Instagram 2025), (16) Faceless content creation, (17) Community engagement and growth, (18) Shoppable video and social commerce, (19) Collaboration and cross-promotion, (20) Analytics and metrics interpretation. Provides: Research-backed viral video formulas, platform-specific optimization guides, hook templates, retention strategies, trending content patterns, algorithm insights, and production best practices for 2025-2026.
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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