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Skill
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Audit score 70

video-edit

agentspace-so/runcomfy-agent-skills

Intent-routed video editing skill: picks Wan 2.7, Kling 2.6, or Lucy Edit based on what you actually want to do.

What is video-edit?

video-edit is a routing skill for coding agents that classifies the user's video editing intent and dispatches to the right model on RunComfy via the local CLI. It covers three routes: Wan 2.7 Edit-Video for general restyle, background swap, and packaging swap with identity and motion preservation; Kling 2.6 Pro Motion Control for transferring precise motion from a reference clip to a target character; and Lucy Edit Restyle for lightweight, identity-stable outfit swaps and atmospheric restyles. Each route includes documented schema fields and prompting patterns to reduce wasted iterations.

  • Routes video edit requests to one of three RunComfy models based on detected user intent
  • Handles restyle, background swap, and packaging swap via Wan 2.7 Edit-Video (up to 1080p)
  • Handles motion transfer from a reference video via Kling 2.6 Pro Motion Control
  • Handles lightweight outfit swap and identity-stable restyle via Lucy Edit Restyle (720p)
  • Bundles per-model schema definitions and prompting tips to improve edit quality
  • Invokes models through the local RunComfy CLI using `runcomfy run <vendor>/<model>/<endpoint>`

How to install video-edit

npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill video-edit
Prerequisites
  • RunComfy CLI installed globally: `npm i -g @runcomfy/cli`
  • RunComfy account created and authenticated via `runcomfy login`
  • For CI or containers: `RUNCOMFY_TOKEN` environment variable set
  • A source video URL (MP4/MOV); Wan 2.7 requires 2–10s clips ≤100MB
Claude Code
Cursor
Windsurf
Cline

How to use video-edit

  1. 1.Install the skill: `npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill video-edit`
  2. 2.Ensure RunComfy CLI is installed and you are logged in
  3. 3.Describe your video edit intent to your coding agent (e.g., 'restyle this video', 'swap the background', 'transfer motion from this clip')
  4. 4.The skill classifies your intent and selects the appropriate model (Wan 2.7, Kling 2.6, or Lucy Edit)
  5. 5.Provide the required inputs: source video URL, and optionally a reference image or motion reference video
  6. 6.The skill constructs and runs the `runcomfy run` command with the correct model endpoint and parameters
  7. 7.Retrieve the output video from the specified `--output-dir` path
  8. 8.Iterate by adjusting the prompt or parameters if the result does not match expectations

Use cases

Good for
  • Swap a video background while preserving a speaker's face, pose, and lip movement
  • Replace product packaging in a video using a reference image
  • Transfer dance or body motion from one video clip onto a target character image
  • Change a character's outfit in a video while keeping their identity stable
  • Apply a cinematic color grade or atmospheric restyle to a short video clip
Who it's for
  • Developers building video editing pipelines with coding agents like Claude Code or Cursor
  • Content creators who want agent-assisted video transformation without manually selecting models
  • Product teams needing automated packaging or background swaps in video assets
  • Anyone using RunComfy who wants intent-aware model routing instead of manual model selection

video-edit FAQ

How does the skill decide which model to use?

It matches your stated intent against a routing table. Motion transfer from a reference clip goes to Kling 2.6 Pro; lightweight outfit or atmospheric restyle goes to Lucy Edit; everything else (background swap, packaging swap, general restyle) defaults to Wan 2.7 Edit-Video.

What is the default model if I don't specify a clear intent?

Wan 2.7 Edit-Video is the default. It is the most versatile option and supports up to 1080p resolution.

Can I preserve the original audio from the source video?

Yes. For Wan 2.7, set `audio_setting` to `"origin"`. For Kling 2.6, set `keep_original_sound` to `true`.

What video formats and size limits are supported?

Wan 2.7 accepts MP4/MOV, 2–10 seconds, up to 100MB. Kling 2.6 accepts a motion reference video (10–30s depending on orientation). Lucy Edit accepts MP4, MOV, WEBM, or GIF.

Can I do multiple edits in a single call?

No. The prompting guidance explicitly states one edit direction per call, especially for Wan 2.7, because compound edits cause motion drift.

Full instructions (SKILL.md)

Source of truth, from agentspace-so/runcomfy-agent-skills.


name: video-edit displayName: "Video Edit — Pro Pack on RunComfy" description: > 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. homepage: https://www.runcomfy.com license: MIT

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 -g

Pick the right model for the user's intent

User intentModelWhy
Restyle a talking-head video — preserve face / pose / lip movementWan 2.7 Edit-VideoStrong identity + motion preservation; supports up to 1080p
Swap product background, keep camera motionWan 2.7 Edit-VideoCamera motion preserved; one-direction edit honored
Replace packaging design using a reference imageWan 2.7 Edit-Video + reference_imageReference-conditioned design transfer
Apply cinematic color grade / commercial polishWan 2.7 Edit-VideoGood at single-direction global look changes
Transfer precise motion from a reference video to a target characterKling 2.6 Pro Motion ControlDesigned for motion mapping with identity hold
Lip-sync motion of a target character to source video's lip movementKling 2.6 Pro Motion ControlBuilt for tight temporal coherence
Lightweight outfit / costume swap with identity preservationLucy Edit RestyleCore strength is localized identity-stable edits
Identity-stable restyle ("astronaut in desert", "warm golden-hour lighting")Lucy Edit RestyleSpecializes in temporal consistency for restyle
Default if unspecifiedWan 2.7 Edit-VideoMost versatile, highest resolution

The agent reads this table, classifies the user's intent, and picks the matching subsection below.

Prerequisites

  1. RunComfy CLInpm i -g @runcomfy/cli
  2. RunComfy accountruncomfy login.
  3. CI / containers — set RUNCOMFY_TOKEN=<token>.
  4. 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

FieldTypeRequiredDefaultNotes
promptstringyesLead with preservation. One edit direction per call.
videostringyesMP4/MOV URL, 2–10s, ≤100MB.
reference_imagestringnoURL — use for direct design / appearance transfer only.
resolutionenumno(input)720p or 1080p.
aspect_ratioenumno(input)W:H. Defaults to input.
durationintno00 = match input; 2–10 = truncate from start.
audio_settingenumnoautoauto or origin (preserve source audio).
seedintnoReproducibility.

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_image only 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

FieldTypeRequiredNotes
promptstringyesDescribe target motion / style.
imagestringyes (image orientation)Reference for character / background consistency.
videostringyesMotion reference. 10–30s depending on orientation.
keep_original_soundboolnoPreserve audio from reference video.
character_orientationenumyesimage (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

FieldTypeRequiredDefaultNotes
promptstringyesNatural-language edit instruction.
video_urlstringyesMP4/MOV/WEBM/GIF.
resolutionenumno720p720p 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

codemeaning
0success
64bad CLI args
65bad input JSON / schema mismatch
69upstream 5xx
75retryable: timeout / 429
77not 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 login writes the API token to ~/.config/runcomfy/token.json with mode 0600 (owner-only read/write). Set RUNCOMFY_TOKEN env 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.
video-edit — AI Skill | PluginBench