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Reference overview

The reference section is the detailed layer under the guides: every command, option, platform value and workflow playbook. These pages are generated from the files in the Reelfold repository (the engine’s own profiles, catalogues, WORKFLOW.md playbooks and references/ notes), so they match the code. They are written in English.

If you are new, start with the guides and example prompts; come here when you need the exact value or flag.

Page What it covers
CLI The engine’s commands (python -m vstudio.*): intake, project, batch, cleanup, export, reframe, platform, effects, llm, retouch
persona.yaml options Every option in persona.local.yaml: speeds, loudness, brand colours and theme, platform overrides, tags, voice rules, term fixes, fonts, AI routing
Platform specs Each platform profile: canvas, cover sizes, length, title limits, loudness
Effects and themes The effect catalogue, which engines render each effect, and the design themes
Caption rules Rules for captions, cards and post copy: names, line length, emphasis, contrast
Messages and error codes Every engine message code with its text and where it appears

Each workflow is a playbook the skill follows and a recipe the Mac app runs.

Workflow Turns… into…
talkinghead A talking-head recording into a tight captioned short: cleanup, speed, hooks, notes panels, retouch, cover, post copy
promo-recut A talking head plus screenshots, links or another video into a premium promo with split screen and highlight cards
longform-to-short A lecture, webinar or livestream into a cut course video and/or short episodes or vertical slices
call-clips Calls, interviews and podcasts into clips, with face masking and name-label blur
photo-story Photos and a narration script (or music only) into an effect-rich story
vlog B-roll into a calm, graded vlog or a fast, beat-cut one
explainer A topic into a 3Blue1Brown-style animated explainer with AI narration and bilingual captions
polish Any exported edit made publish-ready: cover frame, loudness, speed, optional cleanup
ai-video A script or idea into AI-generated video (Kling, Seedance, MiniMax) within a credit budget
cover Covers and thumbnails in each platform’s sizes
slides Square or full-canvas slides for vertical videos
preproduction Script writing, per-platform script checks and pronunciation drills
batch Many shorts at once: plan, pilot, parallel runs, automatic checks, review, publish packages

Deeper notes on how the shared engine works. Useful when you script the engine, debug a result or contribute.

Page Topic
Intake How a plain-language request and a pile of files become a plan
Projects Recipes, items, checkpoints, the inbox, series and the publish calendar
Batch Batch specs, job lists, the scheduler, QC gates, review and packages
Speech cleanup Pauses, fillers, repeats and retakes: detection, the review reply, verification
Output edit Second-pass editing of finished clips: ops, AI edits, undo and selective revert
AI providers Routing each AI task to an API, a local model or your Claude Code / Codex login
Publishing How a post reaches each platform, and why nothing auto-posts
Style rules The design themes behind title bands, captions, notes and cards
Aesthetics checklist The checks to run on any cut before delivery
Sound Beats, sound-effect placement and levels
Retouch Skin smoothing, makeup and reshape for covers and video
Short-video SOP One talking-head short from topic to published post, end to end
Adding effects Adding an effect to the catalogue and porting it between renderers
Validation What was tested on real footage, and the known limits