Hair makeover video generation#

That satisfying snip—blades close, long hair drops, clean short lines appear. No VO needed; the frame is the hook. Lion from messy mane to sharp groom, puppy afro to sleek cut, cat in pink-to-blue gradient: that’s the core visual every run targets.

Dependencies: scripts/video_gen.js in this directory + WERYAI_API_KEY + Node.js 18+. No dependency on other Cursor skills.

Prerequisites#

• WERYAI_API_KEY must be set in the environment before running video_gen.js.
• Node.js 18+ is required. Image inputs must be public https URLs (no local file paths).
• Each successful wait run consumes WeryAI credits; re-running creates new paid tasks.

Security, secrets, and API hosts#

• WERYAI_API_KEY: Treat as a secret. Only configure it if you trust this skill's source; it is listed in OpenClaw metadata as requires.env / primaryEnv so installers know it is mandatory at runtime (never commit it inside the skill package).
• API hosts (fixed in video_gen.js): Video tasks use https://api.weryai.com; the models list uses https://api-growth-agent.weryai.com. Only WERYAI_API_KEY is read from the environment—do not rely on URL-related environment variables.
• Higher assurance: Run generation in a short-lived or isolated environment (separate account or container), and review scripts/video_gen.js (HTTPS submit + poll loop) before production use.

Prompt expansion (mandatory)#

video_gen.js does not expand prompts. Before every wait --json, turn the user's short or vague brief into a full English production prompt.

When: The user gives only keywords, one line, or loose intent—or asks for richer video language. Exception: They paste a finished long prompt within the model's prompt_length_limit and ask you not to rewrite; still show the full text in the confirmation table.

Always add (video language): shot scale and angle; camera move or lock-off; light quality and motivation; subject action paced to duration; one clear payoff for this niche; state 9:16 vertical when this skill defaults to vertical.

Length: Obey prompt_length_limit for the chosen model_key when this doc lists it; trim filler adjectives before removing core action, lens, or light clauses.

Confirmation: The pre-submit table must include the full expanded prompt (never a one-line summary). Wait for confirm or edits.

Niche checklist#

• Transform arc: before → cut/color/style → after reveal; salon or natural light; strand motion and silhouette change.
• Camera: mirror, chair spin, or profile comparison; 9:16 if default vertical.
• Species/character: if anthropomorphic, keep grooming readable and on-brief.

### Example prompts at the top of this file are short triggers only—always expand from the user's actual request.

Workflow#

1. Confirm the user request matches this skill's scenario (text-to-video and/or image-to-video as documented).
2. Collect the user's brief, optional image URL(s), tier ( best / good / fast) or an explicit model key.
3. Expand prompt (mandatory): Unless the user supplied a finished long prompt and explicitly asked not to rewrite it, expand the brief into a full English production prompt using ## Prompt expansion (mandatory) below. Do not call the API with only the user's minimal words.
4. Check the expanded prompt against the selected model's prompt_length_limit in the frozen tables in this document (when present); shorten if needed.
5. Verify duration, aspect_ratio, resolution, generate_audio, negative_prompt, and other fields against the frozen tables and API notes in this SKILL.md.
6. Show the pre-submit parameter table including the full expanded prompt; wait for confirm or edits.
7. After confirmation, run node {baseDir}/scripts/video_gen.js wait --json '...' with the expanded prompt.
8. Parse stdout JSON and return video URLs; on failure, surface errorCode / errorMessage and suggest parameter fixes.

CLI reference#

sh

node {baseDir}/scripts/video_gen.js wait --json '{"model":"…","prompt":"…","duration":5,"aspect_ratio":"9:16"}'
node {baseDir}/scripts/video_gen.js wait --json '…' --dry-run
node {baseDir}/scripts/video_gen.js status --task-id <id>

Definition of done#

Done when the user receives at least one playable video URL from the API response, or a clear failure explanation with next steps. All parameters used must fall within the selected model's allowed sets in this document. The submitted prompt must be the expanded production prompt unless the user explicitly supplied a finished long prompt and asked not to rewrite it.

Boundaries (out of scope)#

• Does not review platform compliance, copyright, or portrait rights; does not guarantee commercial usability of outputs.
• Does not provide non-WeryAI offline rendering, traditional edit timelines, or API field combinations not documented here.
• Does not hard-code absolute paths in the skill doc; {baseDir} means the skill package root (same level as SKILL.md).

Example prompts#

• Bunny haircut: scissors snap, ends fall, before/after vibe shift, vertical fashion glow-up
• Use this bare-face character image: dye process from dark to light gold
• Blow-dry + curling wand in 5s, finish with hair-flip slow motion
• Hair makeover glow-up 9:16, before/after in one vertical clip

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Default parameters#

FieldValueModelKLING_V3_0_PROAspect ratio9:16 (fixed vertical)Duration5 seconds ( duration: 5—tight peak beat)AudioOffVisual styleSide or front medium; salon lighting; scissor / brush close-ups; clear strand texture; before/after in one frame or hard cut

API validity (default KLING_V3_0_PRO): Text-to-video duration only 5 / 10 / 15; aspect_ratio only 9:16, 1:1, 16:9. Image-to-video aspect_ratio only 9:16, 16:9, 1:1. No resolution field—do not send it. For fast tier with VEO: text-to-video VEO_3_1_FAST, image-to-video CHATBOT_VEO_3_1_FAST, with duration fixed at 8, aspect_ratio only 9:16 or 16:9. When switching model_key, follow the allowed sets in this section’s model/API constraints and the API validity note above; do not send resolution to models that do not support it.

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Anthropomorphic character haircut glow-up#

High completion pattern: big hair / messy mane in the chair → decisive cut → locks fall → camera follows strands down then reveals the full new look.

The user should provide:

• Character (lion / puppy / cat / bunny / custom)
• Before state (afro / tangled long / messy fur / bangs covering eyes)
• Target style (sharp short / sleek bob / minimal buzz / layered editorial cut)

Generation flow:

1. Collect character, before state, target style.

2. Build the prompt around the snip as the climax—slow-motion falling hair and a clear vibe shift after.

3. Show parameters and wait: You must show all parameters in a table and wait for explicit user confirmation before submitting:

   📋 Ready to generate—please confirm:

   ParameterThis runNotesmodel``KLING_V3_0_PROBest default; fast: text VEO_3_1_FAST, image CHATBOT_VEO_3_1_FAST ( duration 8); good → KLING_V3_0_STA; or name a modelaspect_ratio``9:16Default KLING: 9:16, 1:1, 16:9duration``5sKLING: 5 / 10 / 15; VEO fast: 8 onlygenerate_audio``falseWhether to auto-generate audiopromptFull expanded English prompt (entire text for this run)Revise before confirmLoop seamNoReply “loop” for seamless loop

   Reply “confirm” to start, or list what to change.

4. After confirmation ( {baseDir} is skill root): sh

   node {baseDir}/scripts/video_gen.js wait --json '{"model":"（model from confirmation table）","prompt":"（full English prompt）","aspect_ratio":"9:16","duration":5,"generate_audio":true}'
   
   

   Match table to JSON; add resolution only if supported. Parse stdout videos.

Parameter configuration:

FieldValuemodelKLING_V3_0_PROaspect_ratio9:16duration5generate_audiofalse

Expanded prompt: Compose at generation time per ## Prompt expansion (mandatory) from the user's actual brief—do not reuse fixed sample paragraphs.

Expected outcome: Snip in slow-mo as the peak, readable strand texture, strong before/after vibe—tight, satisfying pacing for transformation edits.

---

Dye color change close-up#

Color is the star: base (white / black / brown) through process to vivid / gradient / candy tones—saturation and material read matter more than cut shape.

The user should provide: character, starting color, target colors (e.g. “mint ombré,” “all-over flame red,” “silver with gold money piece”)

Build a color-forward prompt; show confirmation; submit.

Parameters are shown before generation; wait for confirmation before submit.

Expanded prompt: Compose at generation time per ## Prompt expansion (mandatory) from the user's actual brief—do not reuse fixed sample paragraphs.

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Core hook vocabulary#

Cut satisfaction: decisive scissor cut in slow motion, hair strands cascade downward, satisfying snip sound, locks fall away revealing shape beneath

Color payoff: vivid color saturation reveal, luminous gradient color shift, color payoff immediate and intense, iridescent color catches light

Vibe flip: from chaotic to sophisticated, before-after energy, complete character transformation, posture and confidence shift visible

Tip: For a “one-cut climax,” add the decisive first cut is the climax of the video so pacing clusters on that beat instead of evenly spacing every step.