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JosiahSiegel AI Skills

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Explorez les skills IA publiés de JosiahSiegel et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

148

Étoiles des dépôts des skills indexés

1,924

Forks du dépôt

296

Moyenne des étoiles par skill indexé

13

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

148 skills

Explorer

GitHub

ffmpeg-docker-containers

JosiahSiegel

Complete Docker FFmpeg deployment system. PROACTIVELY activate for: (1) Docker FFmpeg image selection (jrottenberg, linuxserver), (2) GPU passthrough (NVIDIA, Intel, AMD), (3) Volume mounting and permissions, (...

GitHub

react-typescript

JosiahSiegel

Complete React TypeScript system. PROACTIVELY activate for: (1) Component props typing, (2) Event handler types, (3) Hooks with TypeScript, (4) Generic components, (5) forwardRef typing, (6) Context with type s...

GitHub

fal-audio

JosiahSiegel

Complete fal.ai audio system. PROACTIVELY activate for: (1) Whisper speech-to-text, (2) Transcription with timestamps, (3) Translation to English, (4) F5-TTS voice cloning, (5) ElevenLabs premium TTS, (6) Kokor...

GitHub

sql-server-2025

JosiahSiegel

SQL Server 2025 and SqlPackage 170.2.70 (October 2025) - Vector databases, AI integration, and latest features

GitHub

viral-video-animated-captions

JosiahSiegel

CapCut-style animated word-level captions for viral video with FFmpeg. PROACTIVELY activate for: (1) Word-by-word caption highlighting, (2) Animated subtitle effects, (3) CapCut-style captions, (4) Karaoke-styl...

GitHub

react-forms

JosiahSiegel

Complete React forms system. PROACTIVELY activate for: (1) Controlled form patterns, (2) React Hook Form setup and validation, (3) Zod schema validation, (4) Dynamic fields with useFieldArray, (5) Server Action...

GitHub

ffmpeg-webassembly-workers

JosiahSiegel

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,...

GitHub

nextjs-app-router

JosiahSiegel

Complete Next.js App Router fundamentals system (Next.js 15.5/16). PROACTIVELY activate for: (1) App directory structure and conventions, (2) Layouts and templates, (3) Loading and error boundaries, (4) Route g...

GitHub

ffmpeg-video-analysis

JosiahSiegel

Complete FFmpeg video analysis and quality control filters for automation and broadcast workflows. PROACTIVELY activate for: (1) Detecting black frames (blackdetect, blackframe), (2) Finding blurry/frozen frame...

GitHub

ffmpeg-karaoke-animated-text

JosiahSiegel

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/vert...

GitHub

python-testing

JosiahSiegel

Complete Python testing system. PROACTIVELY activate for: (1) pytest fundamentals, (2) Fixtures and scopes, (3) Parameterized tests, (4) Mocking with pytest-mock, (5) Async testing with pytest-asyncio, (6) Cove...

GitHub

viral-video-platform-specs

JosiahSiegel

Complete platform upload specifications for viral video creation across TikTok, YouTube Shorts, Instagram Reels, Facebook Reels, Snapchat Spotlight, and Twitter/X. PROACTIVELY activate for: (1) Platform-specifi...

GitHub

ffmpeg-color-grading-chromakey

JosiahSiegel

Complete color manipulation and green screen effects system. PROACTIVELY activate for: (1) Green screen/chromakey removal, (2) Color grading with LUTs, (3) Color correction (levels, curves, white balance), (4)...

GitHub

viral-video-long-form

JosiahSiegel

Complete YouTube long-form video optimization for maximum watch time, SEO, and viral potential. PROACTIVELY activate for: (1) YouTube video strategy, (2) Long-form content planning, (3) Watch time optimization,...

GitHub

nextjs-modal-integration

JosiahSiegel

Modal.com integration patterns for Next.js applications. PROACTIVELY activate for: (1) Next.js + Modal backend setup, (2) AI inference from Next.js (LLMs, image generation), (3) Video/audio processing backends,...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.