video-edit
Skill4 starsChanged 6 months agoMITView on GitHub
Edit existing video on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Wan 2.7 Edit-Video (general restyle / background swap / packaging swap, identity + motion preservation), Kling 2.6 Pro Motion Control (transfer precise motion from a reference video to a target character), or Lucy Edit Restyle (lightweight identity-stable restyle / outfit swap). Bundles each model's documented prompting patterns so the skill gets sharper edits without burning iterations on the wrong model. Calls `runcomfy run <vendor>/<model>/<endpoint>` through the local RunComfy CLI. Triggers on "video edit", "edit video", "restyle video", "swap video background", "motion control", "outfit swap video", or any explicit ask to transform a video.
- Installs packages
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 17 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 114
Use when the user wants to transfer the motion of a reference video onto a target character (driven by an image OR another video).
- Distinctive: line 144
Simplify: if results drift between iterations — drop adjectives, keep core motion description.
- Distinctive: line 153
Use when the edit is localized style modification — outfit swap, scene relight, atmospheric restyle — and identity preservation is critical.
- Very specific: line 224
Outbound endpoints: only model-api.runcomfy.net (request submission) and *.runcomfy.net / *.runcomfy.com (download whitelist for generated …
“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Video Edit — Pro Pack on RunComfy
runcomfy.com · Wan 2.7 Edit-Video · Kling Motion-Control Pro · Lucy Edit Restyle · GitHub
Video edit, intent-routed. This skill doesn't lock you to one model — it picks the right video-edit model in the RunComfy catalog based on what the user actually wants: general restyle, motion transfer from a reference clip, or lightweight identity-stable outfit / background swap.
npx skills add agentspace-so/runcomfy-skills --skill video-edit -gPick the right model for the user's intent
| User intent | Model | Why |
| Restyle a talking-head video — preserve face / pose / lip movement | Wan 2.7 Edit-Video | Strong identity + motion preservation; supports up to 1080p |
| Swap product background, keep camera motion | Wan 2.7 Edit-Video | Camera motion preserved; one-direction edit honored |
| Replace packaging design using a reference image | Wan 2.7 Edit-Video + reference_image | Reference-conditioned design transfer |
| Apply cinematic color grade / commercial polish | Wan 2.7 Edit-Video | Good at single-direction global look changes |
| Transfer precise motion from a reference video to a target character | Kling 2.6 Pro Motion Control | Designed for motion mapping with identity hold |
| Lip-sync motion of a target character to source video's lip movement | Kling 2.6 Pro Motion Control | Built for tight temporal coherence |
| Lightweight outfit / costume swap with identity preservation | Lucy Edit Restyle | Core strength is localized identity-stable edits |
| Identity-stable restyle ("astronaut in desert", "warm golden-hour lighting") | Lucy Edit Restyle | Specializes in temporal consistency for restyle |
| Default if unspecified | Wan 2.7 Edit-Video | Most versatile, highest resolution |
The agent reads this table, classifies the user's intent, and picks the matching subsection below.
Prerequisites
- RunComfy CLI —
npm i -g @runcomfy/cli - RunComfy account —
runcomfy login. - CI / containers — set
RUNCOMFY_TOKEN=<token>. - A source video URL — formats and limits depend on the chosen route.
Route 1: Wan 2.7 Edit-Video — default for restyle / background / packaging
Model: wan-ai/wan-2-7/edit-video
Schema
| Field | Type | Required | Default | Notes |
prompt | string | yes | — | Lead with preservation. One edit direction per call. |
video | string | yes | — | MP4/MOV URL, 2–10s, ≤100MB. |
reference_image | string | no | — | URL — use for direct design / appearance transfer only. |
resolution | enum | no | (input) | 720p or 1080p. |
aspect_ratio | enum | no | (input) | W:H. Defaults to input. |
duration | int | no | 0 | 0 = match input; 2–10 = truncate from start. |
audio_setting | enum | no | auto | auto or origin (preserve source audio). |
seed | int | no | — | Reproducibility. |
Invoke
Background swap, identity preserved, audio kept:
runcomfy run wan-ai/wan-2-7/edit-video \
--input '{
"prompt": "Preserve the speaker'\''s face, pose, and lip movement; change the background to a modern office with neutral lighting.",
"video": "https://.../speaker.mp4",
"audio_setting": "origin"
}' \
--output-dir <absolute/path>Packaging swap with reference image:
runcomfy run wan-ai/wan-2-7/edit-video \
--input '{
"prompt": "Maintain the original framing and hand movement; replace the packaging design using the reference image.",
"video": "https://.../hand-holding-package.mp4",
"reference_image": "https://.../new-packaging.png",
"audio_setting": "origin"
}' \
--output-dir <absolute/path>Prompting tips
- Preservation goals first:
"Preserve [face / pose / motion / framing / lip movement]; [then state the change]". - One edit direction per call. Compound edits drift on motion.
reference_imageonly when justified (packaging swap, costume swap with target visual). Don't pass refs for general restyle.audio_setting: "origin"for talking-head where you don't want soundtrack regenerated.- Source video constraints: 2–10s, ≤100MB.
Route 2: Kling 2.6 Pro Motion Control — when motion FROM a reference clip is the point
Model: kling/kling-2-6/motion-control-pro
Use when the user wants to transfer the motion of a reference video onto a target character (driven by an image OR another video). This isn't restyle — it's motion mapping with identity hold.
Schema
| Field | Type | Required | Notes |
prompt | string | yes | Describe target motion / style. |
image | string | yes (image orientation) | Reference for character / background consistency. |
video | string | yes | Motion reference. 10–30s depending on orientation. |
keep_original_sound | bool | no | Preserve audio from reference video. |
character_orientation | enum | yes | image (max 10s output) or video (max 30s output). |
Invoke
runcomfy run kling/kling-2-6/motion-control-pro \
--input '{
"prompt": "A young american woman dancing",
"image": "https://.../target-character.jpg",
"video": "https://.../motion-reference-dance.mp4",
"character_orientation": "image",
"keep_original_sound": true
}' \
--output-dir <absolute/path>Prompting tips
- Subject must be > 5% of frame in the image reference for clean identity hold.
- Spatial constraints help:
"character on left side, background motion right". - Simplify if results drift between iterations — drop adjectives, keep core motion description.
character_orientation: "image"caps output at 10s;"video"allows 30s.
Route 3: Lucy Edit Restyle — lightweight identity-stable restyle / outfit swap
Model: decart/lucy-edit/restyle
Use when the edit is localized style modification — outfit swap, scene relight, atmospheric restyle — and identity preservation is critical. Lighter-weight than Wan 2.7 Edit; capped at 720p.
Schema
| Field | Type | Required | Default | Notes |
prompt | string | yes | — | Natural-language edit instruction. |
video_url | string | yes | — | MP4/MOV/WEBM/GIF. |
resolution | enum | no | 720p | 720p only on this tier. |
Invoke
Outfit swap:
runcomfy run decart/lucy-edit/restyle \
--input '{
"prompt": "Change outfit to professional business attire; preserve face and motion.",
"video_url": "https://.../subject-walking.mp4"
}' \
--output-dir <absolute/path>Atmospheric restyle:
runcomfy run decart/lucy-edit/restyle \
--input '{
"prompt": "Make lighting warm and golden hour; preserve face, pose, and motion.",
"video_url": "https://.../subject-portrait.mp4"
}' \
--output-dir <absolute/path>Prompting tips
- Localized change phrasing wins. "Outfit", "lighting", "background" — pick one bucket.
- Preserve identity goals —
"preserve face and motion"is enough; don't over-specify. - Avoid total replacement ("astronaut in space" works; "swap subject for a different person" doesn't). Lucy is built for localized style mods, not full character swap.
- No aspect ratio control — output matches input. Cropping happens server-side if you don't pre-match.
Limitations
- Each route inherits its model's limits. Wan 2.7 Edit: 2–10s, 1080p ceiling. Kling: 10s (image orientation) or 30s (video orientation). Lucy: 720p ceiling, no aspect control.
- No multi-route blending. This skill picks one model per call.
- Brand-specific overrides — if the user named a specific model, route to the corresponding brand skill (
wan-2-7) for fuller treatment.
Exit codes
| code | meaning |
| 0 | success |
| 64 | bad CLI args |
| 65 | bad input JSON / schema mismatch |
| 69 | upstream 5xx |
| 75 | retryable: timeout / 429 |
| 77 | not signed in or token rejected |
Full reference: docs.runcomfy.com/cli/troubleshooting.
How it works
The skill picks one of Wan 2.7 Edit-Video / Kling 2.6 Pro Motion Control / Lucy Edit Restyle based on user intent and invokes runcomfy run <model_id> with the matching JSON body. The CLI POSTs to the Model API, polls the request, fetches the result, and downloads any .runcomfy.net/.runcomfy.com URL into --output-dir. Ctrl-C cancels the remote request before exit.
Security & Privacy
- Token storage:
runcomfy loginwrites the API token to~/.config/runcomfy/token.jsonwith mode 0600 (owner-only read/write). SetRUNCOMFY_TOKENenv var to bypass the file entirely in CI / containers. - Input boundary: the user prompt is passed as a JSON string to the CLI via
--input. The CLI does NOT shell-expand the prompt; it transmits the JSON body directly to the Model API over HTTPS. No shell injection surface from prompt content. - Third-party content: image / mask / video URLs you pass are fetched by the RunComfy model server, not by the CLI on your machine. Treat external URLs as untrusted; image-based prompt injection is a known risk for any image-edit / video-edit model.
- Outbound endpoints: only
model-api.runcomfy.net(request submission) and*.runcomfy.net/*.runcomfy.com(download whitelist for generated outputs). No telemetry, no callbacks. - Generated-file size cap: the CLI aborts any single download > 2 GiB to prevent disk-fill from a malicious or runaway model output.
Other versions24 projects use a version of this.
Word for word · 3
- prime-skills/runcomfy-agent-skills★ 41100% same
- genmedia-labs/skills★ 26100% same
- runcomfy-com/skills★ 12100% same
Edited · 0
None found.
Wrote their own version · 21
- calesthio/OpenMontage★ 72ksame name
- hoodini/ai-agents-skills★ 290same name
- goodnight000/cstack★ 161same name
- video-db/skills★ 140same name
- tenfoldmarc/video-edit-skill★ 42same name
- nickjwells/skills-workspace★ 28same name
- aiagentwithdhruv/skills★ 16same name
- danvega/skills★ 15same name
- LinHao-city/StoryMind★ 10same name
- imtamiliniyan/claude-video-skills★ 4same name
11 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use ace-step, codex-pet and 5 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
prime-skillsSkillace-step
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prime-skillsSkillcodex-pet
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into `${CODEX_HOME:-$HOME/.codex}/pets/<name>/` and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as `runcomfy run openai/gpt-image-2/edit` to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no `$imagegen`, no OPENAI_API_KEY required, only RUNCOMFY_TOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
Also in 3 projects that use this
- +5 more from prime-skills
In this repository11 other files it gives its agents.
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- gpt-image-editSkill
- happyhorse-1-0Skill
- image-editSkill
- image-to-videoSkill
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- seedance-v2Skill
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