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.
Generate vertical miniature build & reveal shorts (WeryAI): text or finished-shot image to shallow-depth push-ins, lights coming on, immersive camera.
$ npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills miniature-build-video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "miniature-build-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/miniature-build-video into .claude/skills/miniature-build-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miniature-build-video", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/miniature-build-videoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills miniature-build-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/miniature-build-video .agents/skills/miniature-build-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "miniature-build-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/miniature-build-video into .agents/skills/miniature-build-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miniature-build-video", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills miniature-build-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/miniature-build-video .cursor/skills/miniature-build-video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "miniature-build-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/miniature-build-video into .cursor/skills/miniature-build-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miniature-build-video", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/miniature-build-video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills miniature-build-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/miniature-build-video .gemini/skills/miniature-build-video && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "miniature-build-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/miniature-build-video into .gemini/skills/miniature-build-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miniature-build-video", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills miniature-build-videoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/miniature-build-video .github/skills/miniature-build-video && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "miniature-build-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/miniature-build-video into .github/skills/miniature-build-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miniature-build-video", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill miniature-build-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills miniature-build-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/miniature-build-video .opencode/skills/miniature-build-video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "miniature-build-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/miniature-build-video into .opencode/skills/miniature-build-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miniature-build-video", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
miniature-build-videoGenerate 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. 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodeFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.weryai.comapi-growth-agent.weryai.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
WERYAI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,299 words, ~4,575 tokens.
.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.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.
WERYAI_API_KEYprompt. Do not supply image URLs or local files you consider sensitive unless you accept provider-side processing.--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).WERYAI_API_KEY, or run only in an isolated / test environment.video_gen.js)WERYAI_API_KEY only (models, generation, status, local-image upload). Not required for --dry-run only.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.wait uses fixed exponential backoff and timeout constants in the script (see WERYAI_VIDEO_API.md), not separate poll env vars in this package.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.WERYAI_API_KEY must be set in the environment before running video_gen.js.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.wait run consumes WeryAI credits; re-running creates new paid tasks.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).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).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.prompt and image inputs to WeryAI; see ## Before you install or set WERYAI_API_KEY.## 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.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.
### Example prompts at the top of this file are short triggers only—always expand from the user's actual request.
model key.prompt using ## Prompt expansion (mandatory) below. Do not call the API with only the user's minimal words.prompt against the selected model's prompt_length_limit in the frozen tables in this document (when present); shorten if needed.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).prompt; wait for confirm or edits.node scripts/video_gen.js wait --json '...' with the expanded prompt.errorCode / errorMessage and suggest parameter fixes.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.
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.
WERYAI_VIDEO_API.md.weryai-model-capabilities.md or shared ../references/ paths; use resources/WERYAI_VIDEO_API.md for CLI/API details.node scripts/... from the skill package root (the directory containing SKILL.md) so scripts/ and resources/ paths resolve.Hand-built miniature café: final beat lights on inside, warm fill, slow push verticalUse this street diorama still: tiny car passes, shop windows light upPainted model on base, rotate reveal, ultra-shallow depth of fieldMiniature build reveal 9:16, cozy warm lights turning on inside tiny house| Field | Value |
|---|---|
| Model | KLING_V3_0_PRO (must appear as "model" in JSON—the script does not default it) |
| Aspect ratio | 9:16 (fixed vertical) |
| Duration | Short (duration: 5); use 10 for a longer build pass |
| Resolution | Omit for KLING default (do not include the key in JSON) |
| Style | Very shallow DOF, believable materials, accent light on hero props, slow push or subtle orbit (fixed) |
| Audio | On (room tone + tiny prop detail for immersion) |
API validity (default
KLING_V3_0_PRO): Text-to-videodurationonly 5 / 10 / 15;aspect_ratioonly 9:16, 1:1, 16:9. Image-to-videoaspect_ratioonly 9:16, 16:9, 1:1. Noresolutionfield—do not send it. For fast tier with VEO: text-to-videoVEO_3_1_FAST, image-to-videoCHATBOT_VEO_3_1_FAST, withdurationfixed at 8,aspect_ratioonly 9:16 or 16:9. When switchingmodel_key, follow the allowed sets in this section’s model/API constraints and the API validity note above; do not sendresolutionto models that do not support it.
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:
| Field | Value |
|---|---|
| model | KLING_V3_0_PRO |
| aspect_ratio | 9:16 |
| duration | 5 |
| generate_audio | true |
| 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.
Purpose: Finished physical model or reference still → camera motion for posts or archive.
Inputs:
Image URL (public HTTPS). Optional motion direction:
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:
| Field | Value |
|---|---|
| model | KLING_V3_0_PRO |
| aspect_ratio | 9:16 |
| duration | 5 |
| generate_audio | true |
| resolution | (omit—do not send for this model) |
| image | User-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
httpsURLs; login-gated or in-app-only links may fail. If the assembledscripts/video_gen.jssupports 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
shallow depth of field bokeh background, only the miniature in sharp focus, diorama isolated on dark surfacewarm amber spill light, neon volumetric haze, cold-warm color contrast at threshold, interior light switching onslow dolly push-in, smooth orbital rotation, static locked-off reveal, gradual light fade-invisible wood grain texture, reflective tiny surface, thumb-sized detail props, micro scale furnitureinviting 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
SKILL.md and 4 other files (scripts) in skills/miniature-build-video of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Miniature Build Video this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Video Generationbytedance/deer-flow | 84k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video | 2.6k | — | ~3.6k | Automated safety check: Pass | MIT |
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
itwanger/toBeBetterJavaer
Generate matched 3:4, 16:9, and 4:3 short-video cover images from toBeBetterJavaer video scripts or AI/Java technical topics.
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"…
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
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…
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.
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.
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.
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.
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.
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.
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.
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.