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Story to video workflow

Skill Utopai-Research/pai-pro/skills/story-to-video-workflow

Orchestrates story, script, screenplay, concept, product promo, and multi-shot idea work into finished video. Use first when the user asks to make a video from a story or script; asks what next in a story video project; or needs a decision spanning script splitting, image refs, voices or VO, video clips, render strategy, Timeline ordering, or final Timeline handoff. Routes execution to script-compose, image-compose, voice-compose, and video-compose before those skills' CLIs are used.From its SKILL.md

Install
npx -y skills add Utopai-Research/pai-pro --skill story-to-video-workflow

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

7.7 KB, ~1.6k tokens by cl100k_base, as published. Nobody here has run it

Story-to-video workflow

Contract

  • This skill wakes first for story/script/promo-to-video work.
  • Own sequencing only. Before execution, load the matching capability skill; do not call generate_* here.
  • Recommendations are not consent. Stop before paid generation or pipeline changes unless the user explicitly approved an autonomous workflow.

Default arc

Use this ladder unless the user skips, reorders, supplies refs, or asks for a rough direct render:

  1. Clarify only blockers.
  2. Raw idea/story -> script-compose production script; existing screenplay -> capture/adapt.
  3. script-compose splits <=15s dialogue-aware shots and extracts characters, material variants, detailed locations/location variants, and speaker/VO needs.
  4. image-compose creates useful visual anchors: base/variant character sheets and detailed location/detail anchors.
  5. voice-compose creates reusable anchors for every speaker and VO/narrator.
  6. Confirm shot count, durations, continuity needs, and first blocker.
  7. Default render path: straight-to-video from refs. Storyboard only if requested, hard to control, or needed for diagnosis.
  8. Default dispatch: hybrid. Chain continuous dependent shots; render independent scenes/shots in parallel.
  9. Render clips, assign Timeline shot_id when sequence order is unambiguous, then hand off to Timeline.

Plan ahead internally, but only ask the next meaningful user-facing choice; the Consent and gates ladder fixes when render path and dispatch become askable.

Skill routing

NeedLoad next
Script capture, rewrite, split, or analysisscript-compose
Character, location, storyboard, starting frame, or visual anchorimage-compose
Narration, dialogue read, character voice, or audio nodevoice-compose
Clip render, continuation, audio refs, storyboard animation, or video promptvideo-compose
Scene/ref grouping or canvas layout framesgroups-compose

Capability skills own CLI flags, node grammar, refs, and recovery hints. PROJECT_AGENT.md owns shared failure handling.

Consent and gates

  • Draft-only, failed, and cancelled generations do not advance the pipeline.
  • One-off generation outside the story pipeline routes directly to the capability skill.
  • Honor explicit rough-direct/skip choices.
  • Gate ladder: script -> shot notes -> anchors/user refs/rough-direct -> real clip plan -> render path -> dispatch. Ask each rung only after the prior one is real; stop after render-path unless the user already names dispatch too.

VO and dialogue invariants

  • Script/shot notes carry dialogue/VO until final audio exists.
  • audio_result.data.text is source of truth only for approved final narration/line reads.
  • video-compose includes spoken text verbatim and treats voice samples as timbre anchors.

Recommendation shape

Follow the project PROJECT_AGENT.md § "Recommendation and choice shape". Recommend one concrete next step. Add a second option only when there is a real tradeoff.

Planning checkpoint

Before recommending refs/video, inspect workflow.json when needed and summarize only:

  • Target duration from user duration, timestamps, or a rough estimate.
  • Planned <=15s shot count.
  • Characters, material variants, detailed locations/location variants, close/detail needs, speakers/VO.
  • First missing anchor blocking the next clip.

If the story implies more than roughly 3 minutes, recommend narrowing scope before clip planning.

After shot notes, missing video-bound character/location/voice anchors are the default next step; include a rough-direct skip when speed matters. Once anchors/user refs/rough-direct are settled, offer only a short ref review or clip-plan confirmation if ambiguity remains.

Render path

Ask only after the script/shot plan is settled and anchors, usable refs, rough-direct, or a simple single-clip case make rendering real. If anchors are still missing, return to Planning checkpoint.

Use project choice shape:

  • header: Render
  • question: Choose render path.
  • options:
    • label: Straight to video (Recommended) description: Fastest path to motion.
    • label: Storyboard first description: Generate storyboard images first for composition control.

For storyboard-first, load image-compose Pattern 6: one composite mosaic per clip/<=15s shot note, subtype storyboard.

Dispatch for multiple clips

Ask only after render path is picked and a multi-clip plan exists. Skip for one clip. Use project choice shape:

  • header: Dispatch
  • question: Choose clip dispatch.
  • options: order these by the observable story signals below; suffix the first label with (Recommended).
    • label: Hybrid description: Chain within continuous scenes; render separate scenes independently.
    • label: Parallel description: Render all clips independently.
    • label: Sequential description: Each clip continues from the previous one; boundaries default to a hard cut to a new angle (avoids the same-shot seam) — keep a boundary same-shot only for an unbroken oner.

Signals: continuous scene/state -> sequential (hard-cut handoffs between clips); a single unbroken action the viewer must read as ONE motion -> one ≤15s clip, else sequential with a same-shot handoff; separate scenes/time jumps/wardrobe changes/montage -> parallel; continuous clusters separated by hard cuts -> hybrid. Do not chain video refs across location, time, wardrobe/state, dream/reality, or montage breaks.

After media results

After terminal generate_*:

  1. If it is only draft-stage JSON, report the price/status and stop.
  2. If ok:false, follow project failure handling and do not advance the pipeline.
  3. If ok:true, identify the landed node id from the result or canvas state.
  4. Read workflow.json if shots, refs, voices, clips, or reel order affect the next decision.
  5. Recommend exactly one next useful filmmaking move.

Typical priority:

  • Script note landed -> recommend splitting into <=15s shot notes and extracting anchors.
  • Shot notes exist but anchors are missing -> recommend the first missing character/location anchor, with a rough-direct skip option. Do not ask render path or dispatch yet.
  • Character/location ref landed -> finish remaining anchors; then ref review, clip-plan confirmation, or straight-to-video. Mention storyboard only if requested/useful.
  • Voice landed -> recommend using it with the matching visual ref in the next dialogue/narration clip.
  • Storyboard landed -> recommend review or animating the matching clip.
  • Video clip landed -> recommend the next clip, or Timeline handoff when all planned clips are ready.

Final handoff

Timeline owns reel order. Numeric video_result.data.shot_id means a clip is in the reel. When all planned story clips are ready and order is unambiguous, assign shot_id = 1..N with one updateBatch before handoff:

node "$PAI_REPO_ROOT/server/cli/canvas_mutate.js" \
  --op updateBatch \
  --payload-json '{"updates":[{"id":"<video_1>","patch":{"shot_id":1}},{"id":"<video_2>","patch":{"shot_id":2}}]}'

Do not use generate_video.js --shot-id for speculative/partial ordering. Assign after clips land. Local export uses reel_stitch.js only on explicit request. Then tell the user to open Timeline to inspect and preview.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most automation workflows skills give in ~1.6k tokens

Counted across 813 of the 1,214 authors here whose files we hold, read 2026-09-06

  • Use conventional commit message formatin 38 of 813, across 34 files
  • Write tests before implementing codein 26 of 813, across 12 files
  • Achieve at least 80 percent test coveragein 24 of 813, across 11 files
  • Mock external dependencies for unit testsin 22 of 813, across 10 files
  • Read product marketing context before asking questionsin 21 of 813, across 6 files
  • Implement rollback plans for every deploymentin 21 of 813, across 9 files
  • Follow the arrange-act-assert patternin 20 of 813, across 9 files
  • Delete branches after mergingin 20 of 813, across 18 files
  • Test all edge cases and error scenariosin 20 of 813, across 8 files
  • Use semantic selectors for UI testsin 19 of 813, across 7 files
  • Define sequence type and audience contextin 18 of 813, across 5 files
  • Monitor feature drift and prediction distribution driftin 18 of 813, across 5 files

Said here and by no other author read

  • load the matching capability skill before execution
  • clarify only blockers before proceeding
  • split scripts into shots of fifteen seconds or less
  • create visual anchors for characters and locations
  • create reusable audio anchors for speakers and narration
  • chain continuous dependent shots for rendering

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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