Hydraulic Crush Video

Generate vertical hydraulic-press crushing shorts (WeryAI): text or object image to flatten/burst motion—destruction aesthetics and material contrast for sho...

Hydraulic press crush video generation

Built for destruction-aesthetic and satisfying creators. Lipstick smear bursts, glass marbles shattering, gadget shells tearing—one line of copy or one image → 9:16 vertical. Core hooks: material contrast, unexpected internals, tension between machine force and fragile objects.

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

• Crush read: compression progress, material yield (bend, burst, powder), one peak squeeze; object identity clear.
• Camera: locked macro or slow push; industrial plate framing; stylized destruction only.
• Audio: metal groan, pop, hiss if generate_audio true.

### 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

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

• 9:16 hydraulic press crushing a glass marble: slow motion and burst close-ups
• Use this image: lipstick crushed flat with color burst, vertical
• Destruction-aesthetic short: crush electronic shell, stress material tear and internal contrast
• Generate a vertical hydraulic press crush clip with cold lighting and macro deformation

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Default parameters

Field	Value
Model	KLING_V3_0_PRO
Aspect ratio	9:16 (fixed vertical)
Duration	Short (duration: 5—minimum for KLING_V3_0_PRO)
Audio	On (press + break sounds are core satisfaction)
Visual style	Extreme macro, cool white light, slow motion, minimal background—deformation and detail first

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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Text-to-video crush

User names the object and how it should fail—good for batch ideas, testing hooks, or quick look dev.

The user should provide:

• Object (lipstick, glass marble, figure, phone case, macaron, etc.)
• Optional failure mode (slow squash / instant burst / contents jet / deform-then-crack)
• Optional visual emphasis (internals, colored splash, etc.)

Generation flow:

1. Collect object and failure mode; ask if missing.

2. Prompt: press descent, deformation detail, material contrast, slow motion.

3. After user confirmation, run ({baseDir} is skill root):

   node {baseDir}/scripts/video_gen.js wait --json '{"model":"KLING_V3_0_PRO","prompt":"（full English prompt this run）","aspect_ratio":"9:16","duration":5,"generate_audio":true}'
   

   Replace JSON fields with confirmed values; add resolution only if the model supports it. Parse stdout videos.

4. Return URLs and note what to tweak next (hook angle, material, speed).

Parameter configuration:

Field	Value
model	KLING_V3_0_PRO
aspect_ratio	9:16
duration	5
generate_audio	true

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

Expected outcome: Ram enters from top, object deforms/bursts in macro, generated mechanical + material audio, strong tension and satisfaction.

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Image-to-video crush

Public HTTPS image of an object → that object crushed slowly or bursting. Reuse assets or brand-specific product shots.

The user should provide:

• Image URL (public https, not a local path)
• Desired failure (slow flatten / burst / crack spread / contents squeeze-out)

Generation flow:

1. Confirm URL starts with https:// (not local).

2. Infer material; tailor deformation/break language.

3. After confirmation:

   node {baseDir}/scripts/video_gen.js wait --json '{"model":"KLING_V3_0_PRO","prompt":"（full English prompt）","image":"（user HTTPS image URL）","aspect_ratio":"9:16","duration":5,"generate_audio":true}'
   

   Match the confirmation table. Parse stdout for URLs.

4. Return URLs.

Parameter configuration:

Field	Value
model	KLING_V3_0_PRO
aspect_ratio	9:16
duration	5
generate_audio	true
image	User-supplied image URL

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

Expected outcome: Motion centered on the uploaded object, consistent look, readable material detail.

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Prompt building tips

Pressure: descends with immense force, hydraulic ram presses down, irresistible mechanical pressure, slow inevitable crush

Materials:

• Brittle (glass/ceramic): shatters into fragments, hairline fractures propagate, crystalline shards cascade
• Soft (lipstick/food): deforms and smears, internal contents squeeze out, viscous material splays
• Hard shells (electronics/toys): casing buckles and splits, internal structure exposed, plastic fractures with resistance

Slow motion: 240fps extreme slow motion, time dilation effect, every deformation frozen in detail

Contrast hooks: unexpectedly satisfying internal structure, reveals hidden contents, luxury exterior destroyed

Note: Image URLs must be publicly reachable over HTTPS or the API errors. Upload to an image host first if needed.