Brag Launch Video
latent-spaces/brag
Turns the current project website or app into a short, shareable launch video with Hyperframes, planned from the project code with options for tone, format and voiceover.
Organizes a team of AI agent roles to make short product videos, from copy and storyboards to audio and composition, with checks that catch distorted images.
SKILL.md written in Chinese; this summary is our English description.
Install Multi-Agent Short Video Workflow
$ npx skills add anbeime/skill --skill video-creation-collaborator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install anbeime/skill video-creation-collaborator --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/anbeime/skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-creation-collaborator/video-creation-collaborator .claude/skills/video-creation-collaborator && 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 "video-creation-collaborator" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-creation-collaborator/video-creation-collaborator into .claude/skills/video-creation-collaborator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-creation-collaborator", 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/anbeime/skill/tree/main/skills/video-creation-collaborator/video-creation-collaboratorType 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 anbeime/skill --skill video-creation-collaborator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install anbeime/skill video-creation-collaborator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video-creation-collaborator/video-creation-collaborator .agents/skills/video-creation-collaborator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-creation-collaborator" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-creation-collaborator/video-creation-collaborator into .agents/skills/video-creation-collaborator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-creation-collaborator", 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 anbeime/skill --skill video-creation-collaborator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install anbeime/skill video-creation-collaborator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video-creation-collaborator/video-creation-collaborator .cursor/skills/video-creation-collaborator && 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 "video-creation-collaborator" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-creation-collaborator/video-creation-collaborator into .cursor/skills/video-creation-collaborator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-creation-collaborator", 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/anbeime/skill.git --path skills/video-creation-collaborator/video-creation-collaborator--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 anbeime/skill --skill video-creation-collaborator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install anbeime/skill video-creation-collaborator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video-creation-collaborator/video-creation-collaborator .gemini/skills/video-creation-collaborator && 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 "video-creation-collaborator" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-creation-collaborator/video-creation-collaborator into .gemini/skills/video-creation-collaborator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-creation-collaborator", 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 anbeime/skill video-creation-collaboratorInstalls 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 anbeime/skill --skill video-creation-collaborator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video-creation-collaborator/video-creation-collaborator .github/skills/video-creation-collaborator && 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 "video-creation-collaborator" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-creation-collaborator/video-creation-collaborator into .github/skills/video-creation-collaborator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-creation-collaborator", 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 anbeime/skill --skill video-creation-collaborator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install anbeime/skill video-creation-collaborator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video-creation-collaborator/video-creation-collaborator .opencode/skills/video-creation-collaborator && 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 "video-creation-collaborator" agent skill from https://github.com/anbeime/skill/tree/main/skills/video-creation-collaborator/video-creation-collaborator into .opencode/skills/video-creation-collaborator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-creation-collaborator", 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.
Facts
- Skill name
video-creation-collaborator- GitHub stars
- 7.7k
- Token cost
- ~2.7k tokens
- SKILL.md length
- 360 words
- Files
- 12 (incl. scripts, references, assets)
- Skills in repo
- 62
- Repo updated
- First seen
- Licence
- None found
At a glance
Organizes a team of AI agent roles to make short product videos, from copy and storyboards to audio and composition, with checks that catch distorted images.
- Works in 6 steps: 图片素材生成 → 音频素材生成 → 字幕素材生成 → …
- Producing a short product video from a product brief
- SKILL.md covers 任务目标, 前置准备, 操作步骤 and 并行协同与闭环管控, plus 5 more sections
- Runs Python scripts from its folder; calls python
What it does
This skill structures short-video production as a hand-off chain between agent roles: copywriter, story planner, script writer, storyboard director, storyboard artist, subtitler, voice-over, sound designer, video engineer, quality inspector and a data-feedback role. A run starts from product details and a video brief and moves through five stages, from requirement intake and content framework, through image creation with checks and parallel audio and subtitle work, to video composition and final inspection. The skill text is written in Chinese.
The stated aim is to stop malformed generated images, such as extra limbs or deformed hands, and compositing flaws before they reach the final cut. Six Python helpers cover audio, image generation, image quality checks, subtitles, video compositing and video quality checks, backed by a storyboard template, a quality report template and reference files for agent prompts, asset specifications and quality standards. It lists opencv-python, pillow and moviepy as dependencies and expects input and output working folders.
When your agent uses it
- Producing a short product video from a product brief
- Standardizing how several AI agents hand off copy, storyboards and audio
- Catching distorted storyboard images before video assembly
- Setting shot counts and subtitle pacing for a 30, 45 or 60 second clip
Example prompts
- “Make a 30-second product video for our stainless steel water bottle, from copy through final cut.”
- “Set up the multi-agent pipeline for our short video channel and add the image quality check step.”
- “Check these storyboard images for extra limbs or deformed hands before we assemble the video.”
Requirements
- Python with opencv-python, pillow and moviepy
- Input and output working folders for materials, scripts and drafts
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- 图片素材生成
- 音频素材生成
- 字幕素材生成
- 图片质量检测
- 音频质量检测
- 视频质量检测
What it can do on your machine
Read from SKILL.md and the folder at commit f7be2c8. 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 6 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Multi-Agent Short Video Workflow loads about 2.7k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 360 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.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 360 words (~2,731 tokens).
- name
- video-creation-collaborator
- dependency.python
- opencv-python>=4.8.0, pillow>=10.0.0, moviepy>=1.0.3, numpy>=1.24.0
Files
SKILL.md and 11 other files (scripts, references, assets) in skills/video-creation-collaborator/video-creation-collaborator of anbeime/skill.
- SKILL.md
- assets/reports/quality-report-template.md
- assets/templates/storyboard-template.md
- references/agent-prompts.md
- references/asset-specifications.md
- references/quality-standards.md
- scripts/audio_generator.py
- scripts/image_generator.py
- scripts/image_quality_checker.py
- scripts/subtitle_generator.py
- scripts/video_compositor.py
- scripts/video_quality_checker.py
Open the folder on GitHubat commit f7be2c8
Compare with similar skills
Multi-Agent Short Video Workflow 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 |
|---|---|---|---|---|---|---|
| Multi-Agent Short Video Workflow this skillanbeime/skill | 7.7k | — | ~2.7k | Automated safety check: Pass | None | |
| Brag Launch Videolatent-spaces/brag | 14k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Weekly Changelog Videoheygen-com/hyperframes | 59k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Faceless Explainer Videoheygen-com/hyperframes | 59k | 3 repos | ~7.7k | Automated safety check: Notes | Apache-2.0 | |
| ShortsAgriciDaniel/claude-shorts | 219 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Taisly Social Media Postingtaisly/agent | 217 | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
Similar skills
Weekly Changelog Video
heygen-com/hyperframes
Turns a weekly changelog markdown file into a branded HyperFrames video with voiceover, animated mock-UI scenes and captions, using fonts, background and scripts bundled in the skill.
Faceless Explainer Video
heygen-com/hyperframes
Turns an article, notes or a topic brief into an explainer video whose visuals are invented per scene, built frame by frame in HyperFrames with no footage.
Shorts
AgriciDaniel/claude-shorts
Interactive longform-to-shortform video creator. An agent skill from AgriciDaniel/claude-shorts.
Taisly Social Media Posting
taisly/agent
Free AI-first short-form video publishing to TikTok, Instagram Reels, YouTube Shorts, X, and Facebook from AI agents through Taisly.
Viral Captions And Ctas
vyralcontent/content-skills
Write captions, on-screen text, hashtags, and CTAs for short-form video that earn saves and sends without tripping engagement-bait penalties.
More from anbeime/skill
All 62 skills in this repoAgentKit Shopping Avatar Video
anbeime/skill
Chinese-language skill that produces a 25-second vertical video of a digital shopping-guide avatar for e-commerce, chaining AI image, voice and video generation.
Historical Science Video Pack
anbeime/skill
Produces a full material pack for a three-minute history-of-science explainer video from a theme, era and core conclusion: narration, storyboard, Veo2 prompts and character design.
PPT Visual Enhancement Generator
anbeime/skill
Turns a PPT content outline into styled slide images, an interactive HTML viewer and an optional stitched video from a content-planning partner skill.
Seven-Role PPT Generator
anbeime/skill
Builds or improves a PowerPoint deck through a seven-role workflow: topic analysis, template choice, content planning, writing, image suggestions, editing and PPTX generation.
Roadshow Video Generator
anbeime/skill
Turns a document into a narrated roadshow video through ten staged roles, from document analysis and slide planning to audio, subtitles and final composition.
PPTX Generator
anbeime/skill
产品经理与运营专员在准备汇报展示时，将 JSON 数据一键转换为标准 .pptx 文件。自动应用多种布局、图表与表格样式，快速生成专业 PPT，彻底告别繁琐手工排版，让内容产出与展示更高效！
Related
Works with
Categories
Questions about Multi-Agent Short Video Workflow
What does Multi-Agent Short Video Workflow do?
Organizes a team of AI agent roles to make short product videos, from copy and storyboards to audio and composition, with checks that catch distorted images. This skill structures short-video production as a hand-off chain between agent roles: copywriter, story planner, script writer, storyboard director, storyboard artist, subtitler, voice-over, sound designer, video engineer, quality inspector and a data-feedback role. A run starts from product details and a video brief and moves through five stages, from requirement intake and content framework, through image creation with checks and parallel audio and subtitle work, to video composition and final inspection.
When should I use Multi-Agent Short Video Workflow?
Multi-Agent Short Video Workflow fits situations like: producing a short product video from a product brief; standardizing how several AI agents hand off copy, storyboards and audio; catching distorted storyboard images before video assembly; setting shot counts and subtitle pacing for a 30, 45 or 60 second clip.
How do I install Multi-Agent Short Video Workflow in Claude Code?
Run `npx skills add anbeime/skill --skill video-creation-collaborator -a claude-code`. Or copy the skill folder (skills/video-creation-collaborator/video-creation-collaborator in anbeime/skill) into .claude/skills/video-creation-collaborator in your project. Claude Code loads it when a task matches its description.
How do I install Multi-Agent Short Video Workflow in Codex?
Run `npx skills add anbeime/skill --skill video-creation-collaborator -a codex`. Or copy the skill folder (skills/video-creation-collaborator/video-creation-collaborator in anbeime/skill) into .agents/skills/video-creation-collaborator in your project. Codex loads it when a task matches its description.
Can I use Multi-Agent Short Video Workflow 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 anbeime/skill --skill video-creation-collaborator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-creation-collaborator, .gemini/skills/video-creation-collaborator, .github/skills/video-creation-collaborator and .opencode/skills/video-creation-collaborator in your project.
What does Multi-Agent Short Video Workflow need to run?
Going by SKILL.md and its folder, Multi-Agent Short Video Workflow needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python with opencv-python, pillow and moviepy; Input and output working folders for materials, scripts and drafts.
Does Multi-Agent Short Video Workflow access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Multi-Agent Short Video Workflow 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 Multi-Agent Short Video Workflow use?
No licence was found for Multi-Agent Short Video Workflow or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Multi-Agent Short Video Workflow use?
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.8k tokens, read only when the agent opens those files.
What are the alternatives to Multi-Agent Short Video Workflow?
Skills that share tags, products or a category with Multi-Agent Short Video Workflow: Brag Launch Video (latent-spaces/brag, 14k stars), Weekly Changelog Video (heygen-com/hyperframes, 59k stars), Faceless Explainer Video (heygen-com/hyperframes, 59k stars) and Shorts (AgriciDaniel/claude-shorts, 219 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Multi-Agent Short Video Workflow?
anbeime (a GitHub user) maintains it in anbeime/skill, which has 7,706 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 8, 2026.
Source: anbeime/skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.