Life Hack Video

v0.1.0

Generate vertical life-hack / gadget demo shorts (WeryAI): problem—tool—one-move payoff; stains, prep, storage, quick fixes. Use when you need a life hack de...

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byparallel world@zoucdr

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for zoucdr/life-hack-video.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Life Hack Video" (zoucdr/life-hack-video) from ClawHub.
Skill page: https://clawhub.ai/zoucdr/life-hack-video
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: WERYAI_API_KEY
Required binaries: node
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install life-hack-video

ClawHub CLI

Package manager switcher

npx clawhub@latest install life-hack-video
Security Scan
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high confidence
Purpose & Capability
Name/description, required binary (node), and required env var (WERYAI_API_KEY) align with a text/image-to-video generator that calls WeryAI. The included script implements HTTP calls to WeryAI endpoints consistent with the stated function.
Instruction Scope
SKILL.md confines runtime actions to expanding prompts, validating parameters, and invoking the bundled Node CLI (scripts/video_gen.js) which submits and polls WeryAI jobs. It does not instruct reading unrelated files, other env vars, or exfiltrating system data. It explicitly warns about treating the API key as a secret and about public https image URLs.
Install Mechanism
No install spec; the skill is instruction-only with a bundled Node script. There are no downloads from external or untrusted URLs and no archive extraction. Required runtime is Node.js 18+ (fetch is used), which is appropriate.
Credentials
Only one required environment variable (WERYAI_API_KEY) is declared and used as the API bearer token by the script. That single credential is proportionate to the skill's stated networked generation purpose; no other secrets or unrelated credentials are requested.
Persistence & Privilege
always is false and the skill is user-invocable. The skill does not request permanent presence or modify other skills/config. Autonomous invocation is allowed by default (disable-model-invocation: false) which is normal for skills and is not combined with other red flags here.
Assessment
This package appears internally consistent, but consider these precautions before enabling it with your real API key: (1) Only provide a WERYAI_API_KEY you trust — the script will send prompts and public image URLs to api.weryai.com and will consume WeryAI credits. (2) Do not commit the API key into repositories; use environment injection or a short-lived key. (3) Review scripts/video_gen.js (already bundled) yourself — it is the only code executed and it only performs HTTPS requests and polling. (4) Supply only public https image URLs (the skill rejects local paths). (5) If you worry about billing or data exposure, run in an isolated container/account or create a limited-key account with WeryAI. (6) Note the agent may invoke the skill autonomously when permitted by your agent policies — if you want stricter control, deny autonomous invocation in your agent settings before installing.
scripts/video_gen.js:455
Environment variable access combined with network send.
Confirmed safe by external scanners
Static analysis detected API credential-access patterns, but both VirusTotal and OpenClaw confirmed this skill is safe. These patterns are common in legitimate API integration skills.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

💡 Clawdis
Binsnode
EnvWERYAI_API_KEY
Primary envWERYAI_API_KEY
latestvk97beyq33j2nd9wzrf18wecfe983a2xq
157downloads
0stars
1versions
Updated 1mo ago
v0.1.0
MIT-0

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 <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

  • 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

FieldValue
ModelKLING_V3_0_PRO
Aspect ratio9:16 (fixed vertical)
Duration5 seconds (duration: 5—problem → fix inside five seconds)
AudioOff
Visual styleClose or medium; natural home light; tool + problem object in frame; clear before/after; crisp motion

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:

    ParameterThis runNotes
    modelKLING_V3_0_PROBest default; fast: text VEO_3_1_FAST, image CHATBOT_VEO_3_1_FAST (duration 8); goodKLING_V3_0_STA; or name a model
    aspect_ratio9:16Default KLING: 9:16, 1:1, 16:9
    duration5sKLING: 5 / 10 / 15; VEO fast: 8 only
    generate_audiofalseWhether to auto-generate audio
    promptFull expanded English prompt (entire text for this run)Revise before confirm
    Loop seamNoReply “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:

FieldValue
modelKLING_V3_0_PRO
aspect_ratio9:16
duration5
generate_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: 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.

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