claude

ai-video-producer

Drive a single AI-generated video project end-to-end: creative brief, model selection, character sheets, script (script-writer agent), storyboard, generation pipelines (text-to-image, image-to-video, voice, lip-sync), GPU-aware concatenation/normalisation/aspect conversion, ComfyUI import-export, budget estimation, and final export. State-aware lifecycle plugin designed to operate inside a per-project workspace. Ships with fal.ai, Replicate, and MiniMax MCP servers plus fal-js and WaveSpeed Python SDK runners, all wired to a persistent ~/.config/ai-video-producer/.env.

6 on GitHubby Daniel Rosehillv1.4.0MITupdated 7 days ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin ai-video-producer in danielrosehill/Claude-AI-Video-Producer-Plugin. Commands read from the repo's manifest — 6 days ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (11)

  • budget-estimator

    Estimate API costs for a planned pipeline or for an entire script before any generation runs. Reads pipeline SPEC.md(s), the storyboard, and `brief/tools-and-models.md`, then projects cost per shot and total — with a low / typical / high range that accounts for take iteration. Writes a budget report

  • comfyui-export

    Export an AI-Video-Producer pipeline to ComfyUI workflow JSON — produce a workflow the user can load in ComfyUI to reproduce (or approximate) a hosted-API pipeline locally. Best-effort: maps fal/replicate model calls to equivalent ComfyUI checkpoints/LoRAs/samplers and flags stages that have no nati

  • comfyui-import

    Import a ComfyUI workflow JSON (the API-format export from ComfyUI's "Save (API Format)" option, or the UI-format graph JSON) and turn it into an AI-Video-Producer pipeline SPEC plus stage runners. Maps Comfy nodes to pipeline stages, surfaces the model checkpoints and LoRAs needed, and flags nodes

  • model-researcher

    Research what fal.ai and Replicate (and optionally other providers — Runway, Kling, Pika, Hedra, ElevenLabs, OpenAI) currently offer for a given workload — text-to-image, text-to-video, image-to-video, lip-sync, voice, upscaling, interpolation — and recommend the best-fit model for the project's bri

  • recommend-model

    Intelligent, preference-driven model recommendation across fal.ai, Replicate, WaveSpeedAI, and MiniMax (Hailuo). Asks the user a short set of preference questions (workload, priority — quality vs speed vs cost, max budget per output, resolution/aspect/duration, NSFW tolerance, must-have features lik

  • script-to-tts

    Reformat an existing script for a specific text-to-speech model (ElevenLabs, OpenAI TTS, Google, Azure, Hume, Chatterbox, etc.). Splits VO into model-friendly chunks, inserts pacing/emphasis/SSML markers where the model supports them, strips bracketed visual direction, normalises numbers/abbreviatio

  • text-to-image-to-video

    Two-stage pipeline that generates a still image from a text prompt (Flux/SDXL/Imagen) then animates it into a video clip (Kling/Runway/Hailuo/Wan). Use when the user wants tight visual control over the opening frame before motion.

  • text-to-video-direct

    Single-step text-to-video generation (Sora, Veo, Kling text mode, Hailuo). Use for quick exploratory shots or when motion is more important than precise framing.

  • upscale-and-interpolate

    Post-processing chain — upscale a clip's resolution and/or interpolate frames for smoother motion. Run after a clip is selected but before final assembly.

  • video-workspace-conventions

    Reference for the AI video production workspace — lifecycle phases, folder layout, naming conventions, and working principles. Loaded by the install-video-workspace command and consulted by other commands when they need to know where things live.

  • voice-to-lip-sync

    Generate a voice take (ElevenLabs or similar) and lip-sync it to an existing video clip of a character speaking. Use for talking-head shots where the visual is already generated.

Slash commands (11)

  • /ai-video-producer:assemble

    Propose an ffmpeg/edit plan to concatenate clips/edited/ into a rough cut in output/drafts/.

  • /ai-video-producer:define-character

    Add a recurring character or subject with appearance and voice notes. Saves to characters/.

  • /ai-video-producer:draft-script

    Produce a script draft from the brief. Saves to scripts/drafts/.

  • /ai-video-producer:export-final

    Finalise the locked draft — encode to spec, embed subtitles, write to output/final/.

  • /ai-video-producer:install-video-workspace

    Scaffold the AI video production workspace (folder skeleton + project CLAUDE.md) into the current directory.

  • /ai-video-producer:log-take

    Record a generated artefact's prompt, model, and parameters alongside the file. Usage: /log-take <artefact-path>

  • /ai-video-producer:onboard

    Capture the creative brief, target spec, and model selection for this video project. Run this first.

  • /ai-video-producer:promote-take

    Promote a raw take into clips/selected/ with rationale. Usage: /promote-take <raw-path>

  • /ai-video-producer:run-pipeline

    Execute a predefined pipeline from pipelines/ for a given shot. Usage: /run-pipeline <pipeline-name> <shot-number>

  • /ai-video-producer:setup-credentials

    One-time setup for fal.ai, Replicate, WaveSpeed, and MiniMax credentials, plus runner toolchain bootstrap. Writes ~/.config/ai-video-producer/.env, sources it from the user's shell profile, and installs the npm + pip dependencies needed by the SDK runners under runners/.

  • /ai-video-producer:storyboard

    Break the locked script into a numbered shot list. Writes scripts/storyboards/ and timeline/shot-list.md.

Subagents (7)

  • aspect-converter

    Use this agent to upscale and/or convert aspect ratio for video clips — e.g. taking a 720p 16:9 generation and producing a 1080p 9:16 vertical for Reels/Shorts/TikTok, or upscaling SD-era footage for inclusion alongside HD generations. Picks between resize-only, letterbox, blur-fill, smart-crop, and

  • concatenator

    Use this agent when the user has produced video elements in parts (clips, segments, scenes, intro/outro, B-roll inserts) and is ready to join and render them into a single deliverable. Detects the host's GPU (NVIDIA / AMD / Intel / CPU-only) and picks the right ffmpeg encoder (NVENC / AMF / QSV / li

  • normalizer

    Use this agent to normalise a set of video clips so they can be safely concatenated or compared — equalises loudness (EBU R128 / -16 LUFS by default), aligns sample rate / channel layout, conforms framerate and pixel format, and optionally applies basic colour-level normalisation (full↔limited range

  • pipeline-builder

    Use this agent to turn an approved pipeline SPEC.md (produced by pipeline-scaffolder) into an executable pipeline — runnable scripts/configs that `/run-pipeline` can invoke. Generates per-stage runner files, parameter templates, an entry-point script, and a pipeline README. Wires up calls to fal/rep

  • pipeline-repo-setup

    Use this agent to set up a private GitHub repository where the user versions reusable AI video pipelines across projects. Creates the repo via `gh`, scaffolds an opinionated structure (one folder per pipeline, shared model/cost reference, CHANGELOG, README), seeds it from any pipelines already prese

  • pipeline-scaffolder

    Use this agent to scaffold a new generation pipeline definition inside an AI-Video-Producer workspace. Takes a high-level pipeline description (e.g. "text → image (Flux) → image-to-video (Kling) → upscale (Topaz)") and produces a structured pipeline spec under `pipelines/<name>/` with a SPEC.md, sta

  • script-writer

    Use this agent to draft, revise, or polish a script for an AI video project. Operates inside an AI-Video-Producer workspace — reads `brief/creative-brief.md` and `brief/tools-and-models.md`, writes drafts to `scripts/drafts/`, iterates with the user until a draft is ready to promote to `scripts/fina

MCP servers (2)

  • replicate

    runs: npx -y replicate-mcp

  • minimax

    runs: uvx minimax-mcp -y

View source on GitHub

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