Agent skill

Atlas Video Gen

by aAAaqwq in aAAaqwq/AGI-Super-Team

Generate one Veo 3.1 Lite video through Atlas Cloud. An agent skill from aAAaqwq/AGI-Super-Team.

MITAuto-check passedMedia & Creative

Install Atlas Video Gen

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill atlas-video-gen -a claude-code

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

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team atlas-video-gen --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/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/atlas-video-gen .claude/skills/atlas-video-gen && 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
atlas-video-gen
GitHub stars
105
Token cost
~890 tokens
SKILL.md length
379 words
Files
3 (incl. scripts)
Skills in repo
167
Repo updated
First seen
Licence
MIT

At a glance

Generate one Veo 3.1 Lite video through Atlas Cloud. An agent skill from aAAaqwq/AGI-Super-Team.

  • Works in 6 steps: Turn the request into a concise English… → Preview the helper command without --yes. → Obtain explicit human approval for the… → …
  • Text-to-video needs an Atlas route
  • SKILL.md covers Prerequisites, Safety Boundary, Usage and Supported Inputs, plus 4 more sections
  • Runs Python scripts from its folder; calls python; reaches api.atlascloud.ai; needs ATLASCLOUD_API_KEY

What it does

Atlas Video Gen is an agent skill from aAAaqwq/AGI-Super-Team. Generate one Veo 3.1 Lite video through Atlas Cloud. Use when text-to-video needs an Atlas route, explicit paid-request confirmation, bounded polling, and a local MP4.

Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/generate_video.py` and `scripts/test_generate_video.py`).

It sits in Media & Creative, covering AI video generation. It works with Google Veo. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

  • Text-to-video needs an Atlas route
  • Explicit paid-request confirmation
  • Bounded polling

Example prompts

  • “/atlas-video-gen”

Requirements

  • Python 3
  • A credential in ATLASCLOUD_API_KEY

Workflow steps

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

  1. Turn the request into a concise English video prompt with subject motion,
  2. Preview the helper command without --yes.
  3. Obtain explicit human approval for the displayed model and parameters.
  4. Run once with --yes.
  5. Wait for terminal prediction status and report the saved MP4 path.
  6. On an ambiguous submission or failure, do not resubmit automatically.

What it can do on your machine

Read from SKILL.md and the folder at commit 7cefd81. 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 2 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

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

    • api.atlascloud.ai

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

  • Credentials

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

    • ATLASCLOUD_API_KEY

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

Context cost

Atlas Video Gen loads about 890 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 379 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~890

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 aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 379 words, ~890 tokens.

Download SKILL.mdSave it as .claude/skills/atlas-video-gen/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
atlas-video-gen
description
Generate one Veo 3.1 Lite video through Atlas Cloud. Use when text-to-video needs an Atlas route, explicit paid-request confirmation, bounded polling, and a local MP4.

Atlas Cloud Video Generation

Generate one text-to-video clip with Atlas Cloud's google/veo3.1-lite/text-to-video model. This is an opt-in workflow and does not replace any other video provider.

Prerequisites

  • Python 3.10 or newer; the helper uses only the standard library.
  • An Atlas Cloud API key in ATLASCLOUD_API_KEY.
  • Outbound HTTPS access to api.atlascloud.ai and the returned output URL.

Set the key in the environment. Never put it in a prompt, command argument, source file, or log.

bash
export ATLASCLOUD_API_KEY="..."

Safety Boundary

Running a generation request may incur charges. The helper prints the exact request plan and exits without network access unless --yes is present.

The generation POST is sent exactly once and is never retried. Only prediction and output GET requests use bounded retries for transient failures. If the submission result is unclear, stop and inspect the Atlas Cloud console instead of running the command again.

Usage

Preview the request first:

bash
python skills/atlas-video-gen/scripts/generate_video.py \
  "A slow aerial orbit around a lighthouse at sunrise" \
  --output lighthouse.mp4

After reviewing the plan, confirm one paid submission:

bash
python skills/atlas-video-gen/scripts/generate_video.py \
  "A slow aerial orbit around a lighthouse at sunrise" \
  --output lighthouse.mp4 \
  --duration 4 \
  --ratio 16:9 \
  --resolution 720p \
  --yes

Use --json for a machine-readable result. The default timeout is 10 minutes, and --poll-interval controls prediction polling frequency.

Supported Inputs

OptionValuesDefault
--duration4, 6, 88
--ratio16:9, 9:1616:9
--resolution720p, 1080p720p
--seedinteger; -1 requests a random seed-1

Atlas Cloud's current schema requires an 8-second duration for 1080p output. The helper validates that rule before submitting.

Show full SKILL.md (164 more words)Show less

Workflow

  1. Turn the request into a concise English video prompt with subject motion, camera movement, setting, lighting, and audio cues when relevant.
  2. Preview the helper command without --yes.
  3. Obtain explicit human approval for the displayed model and parameters.
  4. Run once with --yes.
  5. Wait for terminal prediction status and report the saved MP4 path.
  6. On an ambiguous submission or failure, do not resubmit automatically.

Limitations

  • This helper supports text-to-video only. Use a separate image-to-video skill when a start or end frame is required.
  • Model availability and accepted parameters can change. If Atlas Cloud rejects a previously valid request, check the live model catalog and schema before changing the helper.
  • Generated media remains subject to Atlas Cloud and model content policies.

Test Evidence

Run the focused standard-library tests with:

bash
python -m unittest -v skills/atlas-video-gen/scripts/test_generate_video.py

The tests cover schema-aligned payloads, the single-POST boundary, wrapped and flat API responses, preview mode, and the 1080p duration constraint.

API References

  • Model catalog: https://api.atlascloud.ai/api/v1/models
  • Submit: POST https://api.atlascloud.ai/api/v1/model/generateVideo
  • Poll: GET https://api.atlascloud.ai/api/v1/model/prediction/{id}

© aAAaqwq, 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 2 other files (scripts) in skills/atlas-video-gen of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • scripts/generate_video.py
  • scripts/test_generate_video.py

Open the folder on GitHubat commit 7cefd81

Compare with similar skills

Atlas Video Gen 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.

Atlas Video Gen compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Atlas Video Gen this skillaAAaqwq/AGI-Super-Team105—~890Automated safety check: PassMIT
Veo Usecnemri/google-genai-skills127—~625Automated safety check: PassMIT
Veo Buildcnemri/google-genai-skills127—~513Automated safety check: PassMIT
Video Gen UsageOtoDock/oto-dock190—~1.4kAutomated safety check: PassCustom licence
Capcutsocial-media-skills/skills134—~2kAutomated safety check: PassMIT
Klingsocial-media-skills/skills134—~1.3kAutomated safety check: PassMIT

Similar skills

  • Veo Use

    cnemri/google-genai-skills

    Create and edit videos using Google's Veo 2 and Veo 3 models.

    127 GitHub stars~625 tokensUpdated 8 mo ago
    Media & CreativeAuto-check passed
  • Veo Build

    cnemri/google-genai-skills

    Create and edit videos using Google's Veo 2 and Veo 3 models.

    127 GitHub stars~513 tokensUpdated 8 mo ago
    Media & CreativeAuto-check passed
  • Video Gen Usage

    OtoDock/oto-dock

    Generate AI videos, transitions between clips, and AI video edits.

    190 GitHub stars~1.4k tokensUpdated 3 days ago
    Media & CreativeAuto-check passed
  • Capcut

    social-media-skills/skills

    The CapCut craft skill — edit short-form social video (TikTok, Reels, Shorts) fast and safely: retention-paced cuts, auto-captions, beat-synced sound, exports.

    134 GitHub stars~2k tokensUpdated 9 days ago
    Media & CreativeAuto-check passed
  • Kling

    social-media-skills/skills

    The generative-video producer for native 4K, multi-shot storyboarding, and motion-transfer (Kling-led).

    134 GitHub stars~1.3k tokensUpdated 9 days ago
    Media & CreativeAuto-check passed
  • Runway

    social-media-skills/skills

    Prompt and direct Runway (Gen-4.5, Aleph) — the control-grade generative video tool for camera moves, character consistency, and edit-grade shots.

    134 GitHub stars~1.3k tokensUpdated 9 days ago
    Media & CreativeAuto-check passed

More from aAAaqwq/AGI-Super-Team

All 167 skills in this repo
  • Content Creator

    aAAaqwq/AGI-Super-Team

    Create SEO-optimized marketing content with consistent brand voice.

    105 GitHub starsUsed in 3 repos~1.9k tokens
    Auto-check passed
  • Financial Calculator

    aAAaqwq/AGI-Super-Team

    Advanced financial calculator with future value tables, present value, discount calculations, markup pricing, and compound interest.

    105 GitHub starsUsed in 1 repo~1.5k tokens
    Auto-check passed
  • Bankr Signals

    aAAaqwq/AGI-Super-Team

    Transaction-verified trading signals on Base blockchain. An agent skill from aAAaqwq/AGI-Super-Team.

    105 GitHub starsUsed in 2 repos~3.3k tokens
    Auto-check passed
  • Erc 8004

    aAAaqwq/AGI-Super-Team

    Register AI agents on Ethereum mainnet using ERC-8004 (Trustless Agents).

    105 GitHub starsUsed in 2 repos~1.2k tokens
    Auto-check passed
  • Frontend Design Ultimate

    aAAaqwq/AGI-Super-Team

    Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed.

    105 GitHub starsUsed in 2 repos~2.7k tokens
    Auto-check passed
  • Zsxq Smart Publish

    aAAaqwq/AGI-Super-Team

    Publish and manage content on 知识星球 (zsxq.com). An agent skill from aAAaqwq/AGI-Super-Team.

    105 GitHub stars~1.5k tokensUpdated 2 days ago
    Auto-check passed

Works with

Questions about Atlas Video Gen

What does Atlas Video Gen do?

Generate one Veo 3.1 Lite video through Atlas Cloud. An agent skill from aAAaqwq/AGI-Super-Team. Atlas Video Gen is an agent skill from aAAaqwq/AGI-Super-Team.1 Lite video through Atlas Cloud.

When should I use Atlas Video Gen?

Atlas Video Gen fits situations like: text-to-video needs an Atlas route; explicit paid-request confirmation; bounded polling.

How do I install Atlas Video Gen in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill atlas-video-gen -a claude-code`. Or copy the skill folder (skills/atlas-video-gen in aAAaqwq/AGI-Super-Team) into .claude/skills/atlas-video-gen in your project. Claude Code loads it when a task matches its description.

How do I install Atlas Video Gen in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill atlas-video-gen -a codex`. Or copy the skill folder (skills/atlas-video-gen in aAAaqwq/AGI-Super-Team) into .agents/skills/atlas-video-gen in your project. Codex loads it when a task matches its description.

Can I use Atlas Video Gen 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 aAAaqwq/AGI-Super-Team --skill atlas-video-gen -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/atlas-video-gen, .gemini/skills/atlas-video-gen, .github/skills/atlas-video-gen and .opencode/skills/atlas-video-gen in your project.

What does Atlas Video Gen need to run?

Going by SKILL.md and its folder, Atlas Video Gen needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named ATLASCLOUD_API_KEY. Our summary lists: Python 3; A credential in ATLASCLOUD_API_KEY.

Does Atlas Video Gen access the network?

SKILL.md names 1 domain. In commands or code: api.atlascloud.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Atlas Video Gen 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 Atlas Video Gen use?

Atlas Video Gen 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 Atlas Video Gen use?

About 890 tokens (SKILL.md is roughly 3.6k 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 Atlas Video Gen?

Skills that share tags, products or a category with Atlas Video Gen: Veo Use (cnemri/google-genai-skills, 127 stars), Veo Build (cnemri/google-genai-skills, 127 stars), Video Gen Usage (OtoDock/oto-dock, 190 stars) and Capcut (social-media-skills/skills, 134 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Atlas Video Gen?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.