Drive an AI-generated video project end to end — brief, model selection, characters, script, storyboard, generation pipelines (text-to-image, image-to-video, voice, lip-sync), GPU-aware assembly, ComfyUI import/export, budgets, export — plus a curated index of agent-callable video and audio tooling.
Plugin ai-video-producer from marketplace claude-code-workflows in shotcowboystyle/ag-skills. Commands read from the repo's manifest — 11 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
ai-media-tools-indexCurated index of agent-callable AI video and audio tooling on GitHub — ComfyUI integrations, MCP servers, agent skill packs, CLIs, agentic video frameworks, podcast pipelines, TTS, transcription, and loudness/denoise tools. Use when choosing an external tool, MCP server, or skill pack for a video or
budget-estimatorEstimate 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-exportExport 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-importImport 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
ffmpeg-encoder-detectPick the ffmpeg video encoder for this host — NVENC, VideoToolbox, QSV, AMF or VAAPI when the hardware really encodes, else libx264/libx265 — by test-encoding one frame with each candidate. The one detection routine the concatenator, aspect-converter and normalizer agents share. Use when an ai-video
provider-runnersPlugin-wide SDK runners that execute fal.ai and WaveSpeedAI models — take a model id plus JSON input, queue and poll the job, download the outputs, and print one JSON envelope. The execution path every ai-video-producer generation skill (text-to-image-to-video, text-to-video-direct, voice-to-lip-syn
recommend-modelPreference-driven model recommendation for an AI video workload — text-to-image, text-to-video, image-to-video, lip-sync, voice/TTS, upscale, interpolation — across fal.ai, Replicate, WaveSpeedAI, MiniMax (Hailuo) and direct providers (Runway, Kling, ElevenLabs, OpenAI and others). Asks a short batc
script-to-ttsReformat 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-videoTwo-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-directSingle-step text-to-video generation (Sora, Veo, Kling text mode, Hailuo). Use when you need quick exploratory shots or when motion is more important than precise framing.
upscale-and-interpolatePost-processing chain — upscale a clip's resolution and/or interpolate frames for smoother motion. Run after a clip is selected but before final assembly. Use when a selected clip needs higher resolution or smoother motion before assembly.
video-workspace-conventionsReference 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. Use when you need to know where a file belongs or whi
voice-to-lip-syncGenerate a voice take (ElevenLabs or similar; voice clones only with the speaker's recorded consent) and lip-sync it to an existing video clip of a character speaking. Use when producing talking-head shots where the visual is already generated.
/ai-video-producer:assemblePropose an ffmpeg/edit plan to concatenate clips/edited/ into a rough cut in output/drafts/.
/ai-video-producer:define-characterAdd a recurring character or subject with appearance and voice notes. Saves to characters/.
/ai-video-producer:draft-scriptProduce a script draft from the brief. Saves to scripts/drafts/.
/ai-video-producer:export-finalFinalise the locked draft — encode to spec, embed subtitles, write to output/final/.
/ai-video-producer:install-video-workspaceScaffold the AI video production workspace (folder skeleton + project AGENTS.md) into the current directory.
/ai-video-producer:log-takeRecord a generated artefact's prompt, model, and parameters alongside the file. Usage: /log-take <artefact-path>
/ai-video-producer:onboardCapture the creative brief, target spec, and model selection for this video project. Run this first.
/ai-video-producer:promote-takePromote a raw take into clips/selected/ with rationale. Usage: /promote-take <raw-path>
/ai-video-producer:run-pipelineExecute a pipeline from pipelines/<name>/ for a given shot. Usage: /run-pipeline <pipeline-name> <shot-number> [--dry-run]
/ai-video-producer:setup-credentialsOne-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 in the provider-runners skill.
/ai-video-producer:storyboardBreak the locked script into a numbered shot list. Writes scripts/storyboards/ and timeline/shot-list.md.
ai-video-producer-aspect-converterUse 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
ai-video-producer-concatenatorUse 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. Picks the ffmpeg encoder that works on this host (NVENC / VideoToolbox / QSV / AMF / VAAPI / libx264) via the `ffmp
ai-video-producer-normalizerUse this agent to normalise a set of video clips so they can be safely concatenated or compared — equalises loudness (-16 LUFS web target by default; -23 LUFS EBU R128 for broadcast), aligns sample rate / channel layout, conforms framerate and pixel format, and optionally applies basic colour-level
ai-video-producer-pipeline-builderUse this agent to turn an approved pipeline SPEC.md (produced by ai-video-producer-pipeline-scaffolder) into an executable pipeline — a `run.md` runbook that `/run-pipeline` follows. Generates per-stage files, parameter templates, `run.md`, and a pipeline README. Wires up calls to fal/replicate (or
ai-video-producer-pipeline-repo-setupUse 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
ai-video-producer-pipeline-scaffolderUse 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, s
ai-video-producer-script-writerUse 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
fal-aiconnects to: https://mcp.fal.ai/mcp
replicateruns: npx -y replicate-mcp
minimaxruns: uvx minimax-mcp -y
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