Skip to content
Agentmart
Submit a tool

stage-consistency

Multi-shot narrative & character consistency — a character bible with a locked front-portrait anchor, view-matched reference selection, recent-frame…

Skill by Orkas-AI

IndexedMIT★ 327
Write a review

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/orkas-ai-stage-consistency

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Multi-shot narrative & character consistency — a character bible with a locked front-portrait anchor, view-matched reference selection, recent-frame carry-forward, Cameo (a user photo as the lead), and global planning for long scripts/novels. Trigger on top of the generation line when the SAME character must look the same across many shots/scenes, or for long-form story→video; do NOT trigger for one-off single-shot generation.

Use cases: sales

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/stage-consistency

What's inside

Skill name
stage-consistency
Description
Multi-shot narrative & character consistency — a character bible with a locked front-portrait anchor, view-matched reference selection, recent-frame carry-forward, Cameo (a user photo as the lead), and global planning for long scripts/novels. Trigger on top of the generation line when the SAME character must look the same across many shots/scenes, or for long-form story→video; do NOT trigger for one-off single-shot generation.
License
MIT
Instructions
78 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# stage-consistency

How to keep characters, settings, and style **consistent across many generated shots** (and across scenes in a long story). This is the depth layer on top of the generation line: the generation line makes clips; this skill makes the SAME character look the same in every clip. Describe the outcome; the tools are `ovs image` for portraits (incl. reference-image editing), `ovs video` for image-to-video, `ovs edit extract-frame` to pull an anchor frame, and a long-document strategy (chunking + retrieval/RAG over the source) for long sources (or the equivalent MCP tools).

## 1. Character bible (extract once, lock the look)

From the script/idea, extract every recurring character into `project/characters/bible.json`. For each character separate:

- **static features** — the *immutable* visual identity: face, hair, body shape, ethnicity, age range. These NEVER change shot-to-shot.
- **dynamic features** — changeable: clothing, accessories, expression.
- a single **canonical name** (merge every alias/pronoun for the same person to one id).

```json
{
  "alice": {
    "static": "early-20s East-Asian woman, oval face, long black hair, slim build",
    "dynamic": "green linen dress, small gold earrings",
    "portrait": { "front": "characters/alice_front.png", "side": "characters/alice_side.png", "back": "characters/alice_back.png" }
  }
}
```

## 2. Portrait anchor (generate once, then LOCK)

For each character, generate ONE **front portrait** (full-body, front view, plain background) from its static+dynamic features with `ovs image`. **This is the anchor — never regenerate it.** Derive side/back views by reference-image editing the front portrait (so all three views are the same person). Save paths into the bible.

- **Cameo** (the user uploads a photo to BE a character): use that photo AS the front portrait — skip generation for that character. Everything downstream references it.

## 3. Storyboard with character binding

Decompose the script into shots. Each shot records:

- which characters are visible (and at what camera angle — front / side / back),
- a first-frame description and the motion,
- **describe motion by VISUAL FEATURES, not names** — write "the figure in the green dress turns to the figure in the blue shirt", NOT "Alice turns to Bob". (Generators ground on appearance, not names.)

## 4. Per-shot reference selection (the core consistency mechanism)

For each shot, before generating it, assemble the reference images and bind them explicitly:

1. **Candidates** = for every visible character, the portrait view that MATCHES the shot's camera angle (front shot → front portrait, profile → side portrait) **plus** the most recent already-generated frame that shares this scene/camera.
2. **Priority**: a recent prior frame of the same camera > an older frame > portrait-only; same-camera > different-camera. Keep relative positions (if a character was on the left, keep them on the left). Don't pick two references that show the same face.
3. **Explicit binding**: write a generation prompt that maps each reference to what it's for — "ref 1 (front portrait) → facial features & hair; ref 2 (previous frame) → lighting & background". 
4. Generate the shot with `ovs video` **image-to-video** using those reference images.

## 4b. Verify the keyframe BEFORE you pay to animate

For a character-critical shot, generate the **first-frame image** first (cheap), check it, and only then drive the video from that locked frame — catching drift at the still is far cheaper than discovering it after paying to animate.

- **Check the keyframe against the bible** on the identity axes, in priority order: 1) character — gender, age, ethnicity, facial features, body shape, hairstyle; 2) spatial — relative positions/perspective match the reference (left stays left); 3) accuracy — matches the shot's description. Read it yourself if multimodal; if you cannot see images, mark it unverified and lean harder on a strong locked reference.
- **Re-roll the cheap image**, not the expensive video, until it matches; generate a few candidates and keep the most consistent one. Never hard-fail — pick the best and note its shortcoming.

## 5. Carry-forward (continuity between shots)

After a shot is generated, pull its representative frame with `ovs edit extract-frame` (e.g. its last frame) into `project/frames/`. That frame becomes a high-priority reference for the NEXT shot in the same scene — this is what carries lighting, composition, and the exact current look forward, so drift doesn't accumulate.

**Cache the decision, not just the pixels.** Record each shot's chosen references + the binding prompt (e.g. in the plan/segment) alongside the produced frame. A resumed run then reuses the SAME references and prompt and reproduces the same frame, instead of re-rolling the selection and silently drifting from the earlier run.

## 6. Long script / novel → movie (global planning first)

For long-form, plan globally BEFORE generating:

1. Chunk the source; for a very long novel, use a long-document strategy (chunking + retrieval/RAG over the source) and retrieve the relevant chunks per event instead of holding it all at once.
2. Extract **events → scenes**; extract characters per scene.
3. **Merge characters** so the bible is global: same person across scenes → one entry (track the name variant each scene uses); same name but conflicting static features (e.g. a child vs. the adult years later) → split into two characters. New character → append.
4. Carry the ONE global bible (locked portraits) through every scene, so a character looks identical across the whole story.

## Default scope caps (cost control)

A story multiplies billable calls (portraits per character + clips per shot + carry-forward frames). Default bounds unless the user explicitly asks for more: **≤ 3 characters**, **≤ 3 scenes**, **≤ 6 shots total**. Above these, state the full count + the rough number of billable image/video generations in the pre-generation confirmation and get the user's explicit OK before generating anything.

## Rules & boundary

- **The anchor is sacred**: a character's front portrait is generated once and reused; never silently regenerate it (that's how looks drift).
- **Cost discipline**: portraits + per-shot generation are billable; state the exact character/shot counts in the pre-generation confirmation and never start generating before the user approves.
- This skill is the consistency METHOD; it does not itself author HTML (stage-compose) or cut user footage (stage-edit). It sits on top of the generation line.

From Orkas-AI/Orkas-VideoStudio, MIT.

More from Orkas-AI/Orkas-VideoStudio

Signals

Stars
327
Forks
23
Open issues
0
Last commit (this folder)
Jun 30, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Orkas-AI

Cite this page

stage-consistency skill. Agent Mart. https://agentmart.dev/skills/orkas-ai-stage-consistency (last updated 2026-10-24)