Life hack & gadget demo video generation

A cat clears carpet hair in three seconds—before/after in one frame. That “pain → fix” beat is the core of hack content. Anthropomorphic stars (cat / bunny / bear) show real-looking tool use; the shorter the arc from problem to solved, the better. One line can be enough.

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

• Demo clarity: hands + product + step order in one vertical read; bright practical light; quick legible motion.
• Hook: problem → hack motion → result in frame; platform-native pacing for short vertical.
• Background: clean desk, kitchen counter, or neutral—avoid clutter that fights the hack.

### 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 \x3Cid>

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

• Carpet covered in cat hair; lint roller one pass clean; cat as hero; full story in 5s vertical
• Use this greasy stove image: spray, wipe, shine motion
• Mandoline demo: before/after should feel exaggerated but believable
• Life hack gadget demo 9:16, problem then one-move solution

Default parameters

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.

Gadget fixes everyday pain

High-share formula: pain shot first → tool hero insert → clean decisive use → pristine after. One sentence on pain + tool; the prompt fills the arc.

The user should provide:

• Character (cat / bunny / bear / custom)
• Pain scene (carpet fur / cable mess / hard-to-cut food / rusty screw / specific home pain)
• Tool (e.g. lint roller, mandoline, cable clips—be specific)

Generation flow:

1. Collect character, pain, tool; ask for look and motion if vague.

2. Three-beat prompt: messy / hard → tool entrance (hero moment) → clean / easy result.

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

   📋 Ready to generate—please confirm:

   Parameter	This run	Notes
   model	KLING_V3_0_PRO	Best default; fast: text VEO_3_1_FAST, image CHATBOT_VEO_3_1_FAST (duration 8); good → KLING_V3_0_STA; or name a model
   aspect_ratio	9:16	Default KLING: 9:16, 1:1, 16:9
   duration	5s	KLING: 5 / 10 / 15; VEO fast: 8 only
   generate_audio	false	Whether to auto-generate audio
   prompt	Full expanded English prompt (entire text for this run)	Revise before confirm
   Loop seam	No	Reply “loop” for seamless loop

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

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

   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:

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

Expected outcome: Problem → fix inside 5s; utility reads without captions; after visibly cleaner than before—strong seeding feel.

Twist: unexpected uses

Not the “normal” use—the “wait, it can do that?” angle. Often outperforms straight demos.

Name tool + surprise use; generate:

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.

Prompt story structure

Problem (first ~3s): mess is visible and clearly defined, the problem is immediately legible, close-up emphasizes the scale of the issue

Tool entrance: the tool enters frame from above, hero product presented front and center, satisfying unboxing or pick-up moment

Fix beat: single action produces immediate visible result, one stroke cleans the entire surface, problem disappears in real time, satisfying transformation in one motion

Result frame: after is dramatically cleaner than before, same angle before-and-after comparison, solution is obvious without words

Tip: The worst failure is not knowing what got fixed. Lead with 1–2 sentences on the problem state, then the tool—order matters. before-after in continuous shot reads more narrative than describing two isolated states.