Agent skill

Miniature Build Video

by LeoYeAI in LeoYeAI/openclaw-master-skills

Generate vertical miniature build & reveal shorts (WeryAI): text or finished-shot image to shallow-depth push-ins, lights coming on, immersive camera.

MITAuto-check passedMedia & Creative

Install Miniature Build Video

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills miniature-build-video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/miniature-build-video .claude/skills/miniature-build-video && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
miniature-build-video
GitHub stars
2.2k
Token cost
~4.6k tokens
SKILL.md length
2,299 words
Files
5 (incl. scripts)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Generate vertical miniature build & reveal shorts (WeryAI): text or finished-shot image to shallow-depth push-ins, lights coming on, immersive camera.

  • Works in 4 steps: Trust: Confirm you trust WeryAI and… → Sensitive content: Do not put secrets in… → dry-run first: Run node… → …
  • You need a miniature diorama reel
  • SKILL.md covers Before you install or set…, Environment variables (bundled…, Script vs skill defaults (must… and Prerequisites, plus 9 more sections
  • Runs JavaScript scripts from its folder; calls node; reaches api.weryai.com and api-growth-agent.weryai.com; needs WERYAI_API_KEY

What it does

Miniature Build Video is an agent skill from LeoYeAI/openclaw-master-skills. Generate vertical miniature build & reveal shorts (WeryAI): text or finished-shot image to shallow-depth push-ins, lights coming on, immersive camera. Use when you need a miniature diorama reel, tilt-shift room clip, or the user asks for a tiny house lights-on moment or a slow push into interior detail. Requires WERYAIAPIKEY at runtime (declared in frontmatter for registries). SEO: miniature build video; miniature model build video generation.

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `_meta.json`, `eval.yaml` and `resources/WERYAI_VIDEO_API.md`).

It sits in Media & Creative, covering AI video generation. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • You need a miniature diorama reel
  • Tilt-shift room clip
  • The user asks for a tiny house lights-on moment
  • A slow push into interior detail

Example prompts

  • “/miniature-build-video”

Requirements

  • Node.js
  • A credential in WERYAI_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Trust: Confirm you trust WeryAI and accept that prompts and image inputs (URLs and, if used, uploaded bytes) are sent to WeryAI’s servers…
  2. Sensitive content: Do not put secrets in prompt. Do not supply image URLs or local files you consider sensitive unless you accept…
  3. dry-run first: Run node scripts/video_gen.js wait --json '…' --dry-run (and/or submit-* with --dry-run) before setting a key to inspect…
  4. Source: If you cannot verify the package author or need strict data control, do not set WERYAI_API_KEY, or run only in an isolated / test…

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.weryai.com
    • api-growth-agent.weryai.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • WERYAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Miniature Build Video loads about 4.6k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 2,299 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,299 words, ~4,575 tokens.

Download SKILL.mdSave it as .claude/skills/miniature-build-video/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
miniature-build-video
description
Generate vertical miniature build & reveal shorts (WeryAI): text or finished-shot image to shallow-depth push-ins, lights coming on, immersive camera. Use when you need a miniature diorama reel, tilt-shift room clip, or the user asks for a tiny house lights-on moment or a slow push into interior detail. Requires WERYAI_API_KEY at runtime (declared in frontmatter for registries). SEO: miniature build video; miniature model build video generation.
version
1.0.2
tags
craft, miniature, immersive, creative, aesthetic, short-video
requires.env
WERYAI_API_KEY
user-invocable
true

Miniature build & diorama video generation

Late night: a matchbox-sized Japanese konbini glows amber; the camera eases out of darkness toward it—bokeh swallows the world while the glass door, shelves, and tiny fluorescents stay sharp. That “small but real” immersion is the emotional hook this skill targets.

Conbini, rainy noodle stand, cyberpunk workshop—or a photo of a finished build: one line or one image → clip.

Dependencies: WERYAI_API_KEY + Node.js 18+. When you run the CLI, scripts/video_gen.js must exist; WERYAI_VIDEO_API.md must exist under resources/ (supply both via publish or pre-use assembly). Full commands and JSON fields: see resources/WERYAI_VIDEO_API.md. No other Cursor skills. Default parameters and model tiers are in the tables below; live API limits follow weryai models. Before installing or running, review the bundled video_gen.js to confirm it meets your requirements. Pay particular attention to how it handles local files if you choose to allow their usage, ensuring this behavior aligns with the skill's intended workflow for image-to-video requests.

Registry metadata: The only required runtime secret is WERYAI_API_KEY. It appears in YAML frontmatter as top-level requires.env (flow mapping, for tools that flatten root keys only), metadata.openclaw.primaryEnv, and metadata.openclaw.requires.env. Skill directories and registries should surface that requirement up front so installers see it before download. Never commit the key inside the package.

Before you install or set WERYAI_API_KEY

  1. Trust: Confirm you trust WeryAI and accept that prompts and image inputs (URLs and, if used, uploaded bytes) are sent to WeryAI’s servers over the network.
  2. Sensitive content: Do not put secrets in prompt. Do not supply image URLs or local files you consider sensitive unless you accept provider-side processing.
  3. --dry-run first: Run node scripts/video_gen.js wait --json '…' --dry-run (and/or submit-* with --dry-run) before setting a key to inspect the JSON shape; WERYAI_API_KEY is not required for --dry-run only (see WERYAI_VIDEO_API.md).
  4. Source: If you cannot verify the package author or need strict data control, do not set WERYAI_API_KEY, or run only in an isolated / test environment.

Environment variables (bundled video_gen.js)

  • Required for real API calls: WERYAI_API_KEY only (models, generation, status, local-image upload). Not required for --dry-run only.
  • Not read by this script: Environment variables do not override API hostnames; https://api.weryai.com and https://api-growth-agent.weryai.com are fixed in code (see Security). Do not expect URL-override knobs—there are none in this build.
  • Polling: wait uses fixed exponential backoff and timeout constants in the script (see WERYAI_VIDEO_API.md), not separate poll env vars in this package.

Script vs skill defaults (must match JSON)

  • model: The CLI has no built-in default model. If model is missing or empty in JSON, video_gen.js returns MISSING_PARAM (no default model). This skill’s recommended default in tables is KLING_V3_0_PRO—always pass "model":"<confirmed key>" explicitly in wait / submit-* JSON so it matches the pre-submit table.
  • resolution: For KLING_V3_0_PRO (this skill’s default tier), omit resolution entirely from JSON—sending it can cause 1002 / parameter errors for models that do not support that field. Only add resolution when the chosen model lists it in node scripts/video_gen.js models and your confirmation table explicitly includes it.

Prerequisites

  • WERYAI_API_KEY must be set in the environment before running video_gen.js.
  • Node.js 18+ is required. Prefer public https image URLs. If the assembled scripts/video_gen.js supports local file paths, review and verify the script first, then get explicit consent before it reads a local image and uploads it to WeryAI to obtain a public URL.
  • 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. The bundled script pins these bases in code—only WERYAI_API_KEY is read from the environment for authentication. Do not rely on any environment variables to change API hostnames; requests only go to those official endpoints plus the documented upload URL when a local image is uploaded (see WERYAI_VIDEO_API.md).
  • Local image handling disclosure: Prefer public https image URLs. If the assembled scripts/video_gen.js supports local file paths, it may read a local image and upload it to WeryAI to obtain a public URL; require review / verification and explicit consent before using that path.
  • Remote processing: Paid runs send prompt and image inputs to WeryAI; see ## Before you install or set WERYAI_API_KEY.
  • Higher assurance: Follow ## Before you install or set WERYAI_API_KEY; use a short-lived or isolated environment for paid runs; review scripts/video_gen.js (HTTPS submit + poll loop) before production use. Verify whether the runtime can read local image files and upload them to WeryAI, and obtain explicit consent before using that path.

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
  • Miniature world: shallow DOF, practical warm lights, dolly/push-in reveal; diorama or room-in-a-box.
  • Beats: build → paint → lights on or vehicle pass; cozy atmosphere, tactile materials.
  • Scale cues: matchstick, coin, or fingertip references where useful.

### 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, generate_audio, negative_prompt, and other fields against the frozen tables in this document and WERYAI_VIDEO_API.md. Include resolution only when the selected model supports it (for this skill’s default KLING tier, do not send resolution—see ## Script vs skill defaults).
  6. Show the pre-submit parameter table including the full expanded prompt; wait for confirm or edits.
  7. After confirmation, run node 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 scripts/video_gen.js wait --json '{"model":"…","prompt":"…","duration":5,"aspect_ratio":"9:16"}'
node scripts/video_gen.js wait --json '…' --dry-run
node scripts/video_gen.js status --task-id <id>

Full reference: WERYAI_VIDEO_API.md.

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 in this SKILL or WERYAI_VIDEO_API.md.
  • Do not link to weryai-model-capabilities.md or shared ../references/ paths; use resources/WERYAI_VIDEO_API.md for CLI/API details.
  • Does not hard-code absolute paths in the skill doc; run node scripts/... from the skill package root (the directory containing SKILL.md) so scripts/ and resources/ paths resolve.
Example prompts
  • Hand-built miniature café: final beat lights on inside, warm fill, slow push vertical
  • Use this street diorama still: tiny car passes, shop windows light up
  • Painted model on base, rotate reveal, ultra-shallow depth of field
  • Miniature build reveal 9:16, cozy warm lights turning on inside tiny house

Show full SKILL.md (943 more words)Show less

Default parameters

FieldValue
ModelKLING_V3_0_PRO (must appear as "model" in JSON—the script does not default it)
Aspect ratio9:16 (fixed vertical)
DurationShort (duration: 5); use 10 for a longer build pass
ResolutionOmit for KLING default (do not include the key in JSON)
StyleVery shallow DOF, believable materials, accent light on hero props, slow push or subtle orbit (fixed)
AudioOn (room tone + tiny prop detail for immersion)

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.


Scene description → miniature world

Purpose: Concrete scene ideas, fast visual tests, or batching mood variants—no physical model required.

Inputs:

Scene type (konbini / kitchen / cottage / corner stall / workshop / cyber set) and mood (warm healing / neon cyber / daylight / rainy amber). If mood is omitted, pick the lighting that usually performs for that scene. Optionally stress build process vs finished tour.

Extract key props and light, pick an angle that triggers “I want this,” build the prompt, show full parameters, wait for confirm, then node scripts/video_gen.js wait --json '…'.

Full parameters are shown before generation; wait for confirmation.

Parameter configuration:

FieldValue
modelKLING_V3_0_PRO
aspect_ratio9:16
duration5
generate_audiotrue
resolution(omit—do not send for this model)

Example inputs:

“Japanese konbini at night, warm healing” → the skill builds:

Extreme close-up macro shot at eye level, a palm-sized miniature Japanese convenience store diorama on a dark surface, warm amber interior light glows through tiny sliding glass doors and frostwork windows illuminating a perfectly detailed interior — miniature shelves stocked with thumb-sized product packages, a tiny register counter, a softbox ceiling panel. The camera dollies in very slowly at 30fps toward the entrance as if walking toward it, the shallow depth of field keeps only the storefront razor-sharp while the surrounding darkness melts away. Cold blue night-time ambient fills the exterior, creating a warm-cold color split at the door threshold. ASMR soft ambient hum, distant city night sound, faint interior muzak.

“Cyberpunk workshop, neon” →

Medium close-up at 45-degree overhead angle, a miniature cyberpunk studio diorama the size of a shoebox — crammed with tiny glowing monitors, cable-draped desk, neon-lit bookshelves in pink and cyan, a miniature action figure at the keyboard. The camera orbits slowly around the scene at 60fps in a single smooth rotation, neon light refracts off every tiny reflective surface — monitor bezels, coffee mug, glossy floor tile. Volumetric light rays from the neon tubes create a soft haze above the scene. Deep black void background isolates the diorama completely. ASMR low electronic hum, faint keyboard clicks, ambient synth drone.

“Hand-build a log cabin from scratch, full process” →

Close-up tracking shot over a clean white work mat, precise hands assemble a miniature log cabin frame piece by piece in time-lapse — wooden strips cut, glued, pressed together, roof tiles laid row by row, a tiny front door hung on micro hinges. Final sequence returns to real time 60fps: a hand places the last roof tile, steps back, and a small warm interior light switches on inside the finished cabin, its glow spilling through two windows onto the mat. Neutral overhead workshop light throughout, shallow depth of field isolates the build in progress from surrounding tools. ASMR wood snapping, glue applicator, the soft click of the interior light turning on.

Note: More specific beats (palette, hero prop, time of day) track intent better. “Konbini” vs “late-night warm konbini push toward glass door” are different pictures.


Model photo → immersive motion

Purpose: Finished physical model or reference still → camera motion for posts or archive.

Inputs:

Image URL (public HTTPS). Optional motion direction:

  • Slow push in: From outside toward interior or front—depth emphasis
  • Lights on: Dark to lit, sources coming up in sequence
  • Orbit: Slow 360-style pass around the build

Default pick: if already bright inside → push; if dark → lights-on.

Read scene, existing light, and hero props; match motion; show parameters; confirm; node scripts/video_gen.js wait --json '…'.

Full parameters are shown before generation; wait for confirmation.

Parameter configuration:

FieldValue
modelKLING_V3_0_PRO
aspect_ratio9:16
duration5
generate_audiotrue
resolution(omit—do not send for this model)
imageUser-supplied image URL

Example:

“This is my cyber street build, orbit it https://...” →

Starting from the miniature diorama in the image, the camera performs a slow smooth 180-degree orbital rotation around the scene at 30fps, each angle revealing new details of the model — signage, light sources, material textures. Shallow depth of field maintains focus on the nearest model surface throughout the rotation, blurring the far side into bokeh. The existing lighting in the image is preserved and enhanced with subtle lens flare at bright neon sources. ASMR ambient city soundscape matching the scene aesthetic.

Note: Prefer public https URLs; login-gated or in-app-only links may fail. If the assembled scripts/video_gen.js supports local file paths, review/verify the script and explicitly consent before local read-and-upload to WeryAI. Clearer, more centered photos track camera motion better.


Prompt keyword cheat sheet

  • Immersion: shallow depth of field bokeh background, only the miniature in sharp focus, diorama isolated on dark surface
  • Light: warm amber spill light, neon volumetric haze, cold-warm color contrast at threshold, interior light switching on
  • Camera: slow dolly push-in, smooth orbital rotation, static locked-off reveal, gradual light fade-in
  • Materials: visible wood grain texture, reflective tiny surface, thumb-sized detail props, micro scale furniture
  • Emotion: inviting glow, tiny world feeling, perfectly scaled details, a world you could step into

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in skills/miniature-build-video of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • eval.yaml
  • resources/WERYAI_VIDEO_API.md
  • scripts/video_gen.js

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Miniature Build Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Miniature Build Video compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Miniature Build Video this skillLeoYeAI/openclaw-master-skills2.2k—~4.6kAutomated safety check: PassMIT
Video Generationbytedance/deer-flow84k3 repos~1.4kAutomated safety check: PassMIT
Video Cover Imageitwanger/toBeBetterJavaer18k—~3.3kAutomated safety check: PassNone
Seedancesongguoxs/seedance-prompt-skill2.9k1 repos~2.5kAutomated safety check: PassNone
HyperFrames Video Entry Pointheygen-com/hyperframes60k3 repos~5.2kAutomated safety check: PassApache-2.0
Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video2.6k—~3.6kAutomated safety check: PassMIT

Similar skills

  • Video Generation

    bytedance/deer-flow

    Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.

    84k GitHub starsUsed in 3 repos~1.4k tokens
    Media & CreativeAuto-check passed
  • Video Cover Image

    itwanger/toBeBetterJavaer

    Generate matched 3:4, 16:9, and 4:3 short-video cover images from toBeBetterJavaer video scripts or AI/Java technical topics.

    18k GitHub stars~3.3k tokensUpdated yesterday
    Media & CreativeAuto-check passed
  • Seedance

    songguoxs/seedance-prompt-skill

    This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…

    2.9k GitHub starsUsed in 1 repo~2.5k tokens
    Media & CreativeAuto-check passed
  • HyperFrames Video Entry Point

    heygen-com/hyperframes

    Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.

    60k GitHub starsUsed in 3 repos~5.2k tokens
    Media & CreativeAuto-check passed
  • Lanshu Create AI Presenter Video

    cclank/lanshu-create-ai-presenter-video

    Turn a topic or finished script into a complete, publish-ready explainer video — led by an AI presenter from an authorized adult presenter image, or performed in one of nine visual explainer styles…

    2.6k GitHub stars~3.6k tokensUpdated today
    Media & CreativeAuto-check passed
  • Video Shots

    eternityspring/reelbench-skills

    拉片:把一条成片拆成逐镜头的分析表——每个镜头的时长、景别、类别、运镜、画面. An agent skill from eternityspring/reelbench-skills.

    878 GitHub starsUsed in 1 repo~1.8k tokens
    Media & CreativeAuto-check: notes

More from LeoYeAI/openclaw-master-skills

All 1,200 skills in this repo
  • DevOps Pipeline Management

    LeoYeAI/openclaw-master-skills

    Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.

    2.2k GitHub stars~4.2k tokensUpdated 2 mo ago
    Auto-check: notes
  • Feishu Document Collaboration

    LeoYeAI/openclaw-master-skills

    Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.

    2.2k GitHub stars~2k tokensUpdated 2 mo ago
    Auto-check passed
  • Files Memory System

    LeoYeAI/openclaw-master-skills

    Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.

    2.2k GitHub stars~3.8k tokensUpdated 2 mo ago
    Auto-check passed
  • GEO-Claw AI Visibility Agent

    LeoYeAI/openclaw-master-skills

    Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.

    2.2k GitHub stars~4.7k tokensUpdated 2 mo ago
    Auto-check passed
  • Google Workspace CLI

    LeoYeAI/openclaw-master-skills

    Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.

    2.2k GitHub stars~2.6k tokensUpdated 2 mo ago
    Auto-check: notes
  • HealthFit Health Advisors

    LeoYeAI/openclaw-master-skills

    Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.

    2.2k GitHub stars~4.4k tokensUpdated 2 mo ago
    Auto-check passed

Questions about Miniature Build Video

What does Miniature Build Video do?

Generate vertical miniature build & reveal shorts (WeryAI): text or finished-shot image to shallow-depth push-ins, lights coming on, immersive camera. Miniature Build Video is an agent skill from LeoYeAI/openclaw-master-skills. Generate vertical miniature build & reveal shorts (WeryAI): text or finished-shot image to shallow-depth push-ins, lights coming on, immersive camera.

When should I use Miniature Build Video?

Miniature Build Video fits situations like: you need a miniature diorama reel; tilt-shift room clip; the user asks for a tiny house lights-on moment; A slow push into interior detail.

How do I install Miniature Build Video in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a claude-code`. Or copy the skill folder (skills/miniature-build-video in LeoYeAI/openclaw-master-skills) into .claude/skills/miniature-build-video in your project. Claude Code loads it when a task matches its description.

How do I install Miniature Build Video in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a codex`. Or copy the skill folder (skills/miniature-build-video in LeoYeAI/openclaw-master-skills) into .agents/skills/miniature-build-video in your project. Codex loads it when a task matches its description.

Can I use Miniature Build Video in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/miniature-build-video, .gemini/skills/miniature-build-video, .github/skills/miniature-build-video and .opencode/skills/miniature-build-video in your project.

What does Miniature Build Video need to run?

Going by SKILL.md and its folder, Miniature Build Video needs JavaScript for the scripts in its folder, the command-line tools its instructions call (node) and credentials named WERYAI_API_KEY. Our summary lists: Node.js; A credential in WERYAI_API_KEY.

Does Miniature Build Video access the network?

SKILL.md names 2 domains. In commands or code: api.weryai.com and api-growth-agent.weryai.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Miniature Build Video safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Miniature Build Video use?

Miniature Build Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Miniature Build Video use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Miniature Build Video?

Skills that share tags, products or a category with Miniature Build Video: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Miniature Build Video?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.