Unraid
dinglebear-ai/unraid
This skill should be used when the user mentions Unraid, asks to check server health, monitor array or disk status, list or restart Docker containers, start or stop VMs, read system logs, check…
Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK.
Install Google Antigravity SDK
$ npx skills add google-antigravity/antigravity-sdk-python --skill google-antigravity-sdk -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install google-antigravity/antigravity-sdk-python google-antigravity-sdk --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/google-antigravity/antigravity-sdk-python.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/google-antigravity-sdk .claude/skills/google-antigravity-sdk && 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 "google-antigravity-sdk" agent skill from https://github.com/google-antigravity/antigravity-sdk-python/tree/main/skills/google-antigravity-sdk into .claude/skills/google-antigravity-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-antigravity-sdk", 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/google-antigravity/antigravity-sdk-python/tree/main/skills/google-antigravity-sdkType 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 google-antigravity/antigravity-sdk-python --skill google-antigravity-sdk -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install google-antigravity/antigravity-sdk-python google-antigravity-sdk --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-antigravity/antigravity-sdk-python.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/google-antigravity-sdk .agents/skills/google-antigravity-sdk && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "google-antigravity-sdk" agent skill from https://github.com/google-antigravity/antigravity-sdk-python/tree/main/skills/google-antigravity-sdk into .agents/skills/google-antigravity-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-antigravity-sdk", 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 google-antigravity/antigravity-sdk-python --skill google-antigravity-sdk -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install google-antigravity/antigravity-sdk-python google-antigravity-sdk --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-antigravity/antigravity-sdk-python.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/google-antigravity-sdk .cursor/skills/google-antigravity-sdk && 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 "google-antigravity-sdk" agent skill from https://github.com/google-antigravity/antigravity-sdk-python/tree/main/skills/google-antigravity-sdk into .cursor/skills/google-antigravity-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-antigravity-sdk", 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/google-antigravity/antigravity-sdk-python.git --path skills/google-antigravity-sdk--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 google-antigravity/antigravity-sdk-python --skill google-antigravity-sdk -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install google-antigravity/antigravity-sdk-python google-antigravity-sdk --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-antigravity/antigravity-sdk-python.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/google-antigravity-sdk .gemini/skills/google-antigravity-sdk && 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 "google-antigravity-sdk" agent skill from https://github.com/google-antigravity/antigravity-sdk-python/tree/main/skills/google-antigravity-sdk into .gemini/skills/google-antigravity-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-antigravity-sdk", 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 google-antigravity/antigravity-sdk-python google-antigravity-sdkInstalls 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 google-antigravity/antigravity-sdk-python --skill google-antigravity-sdk -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/google-antigravity/antigravity-sdk-python.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/google-antigravity-sdk .github/skills/google-antigravity-sdk && 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 "google-antigravity-sdk" agent skill from https://github.com/google-antigravity/antigravity-sdk-python/tree/main/skills/google-antigravity-sdk into .github/skills/google-antigravity-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-antigravity-sdk", 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 google-antigravity/antigravity-sdk-python --skill google-antigravity-sdk -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install google-antigravity/antigravity-sdk-python google-antigravity-sdk --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google-antigravity/antigravity-sdk-python.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/google-antigravity-sdk .opencode/skills/google-antigravity-sdk && 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 "google-antigravity-sdk" agent skill from https://github.com/google-antigravity/antigravity-sdk-python/tree/main/skills/google-antigravity-sdk into .opencode/skills/google-antigravity-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-antigravity-sdk", 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
google-antigravity-sdk- GitHub stars
- 3.7k
- Token cost
- ~2.1k tokens
- SKILL.md length
- 937 words
- Files
- 29 (incl. references)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK.
- Wants to create
- SKILL.md covers Installation & Setup and Routing Table
- Calls gcloud; reaches aistudio.google.com; needs GEMINI_API_KEY
- Orchestrate Google Antigravity agents
What it does
Google Antigravity SDK is an agent skill from google-antigravity/antigravity-sdk-python. Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK. ACTIVATE this skill when the user wants to create, configure, or orchestrate Google Antigravity agents.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 30 other files, including reference files (for example `examples/getting_started/agent_skills.md`, `examples/getting_started/app_data_dir_override.md` and `examples/getting_started/budget_limits.md`).
It sits in Agent Workflows. It works with Google Gemini, Python and Model Context Protocol. The repository describes itself as: A Python library for building AI agents that leverage the full power of Google Antigravity. The licence is Apache-2.0.
When your agent uses it
- Wants to create
- Orchestrate Google Antigravity agents
Example prompts
- “/google-antigravity-sdk”
Requirements
- Python 3
- A credential in GEMINI_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit f61cb2f. 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
Shell commands in SKILL.md call:
gcloud
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:
aistudio.google.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Google Antigravity SDK loads about 2.1k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 937 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:26
environment variable or a `.env` file (required to access Gemini
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from google-antigravity/antigravity-sdk-python at commit f61cb2f, republished under its Apache-2.0 licence (© google-antigravity). 937 words, ~2,137 tokens.
Download SKILL.mdSave it as
.claude/skills/google-antigravity-sdk/SKILL.md (or your agent's skills folder). This skill also uses 28 other files; get the full folder from GitHub.- name
- google-antigravity-sdk
- description
- Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK. ACTIVATE this skill when the user wants to create, configure, or orchestrate Google Antigravity agents.
Google Antigravity SDK
Installation & Setup
Before proceeding with any Google Antigravity tasks, ensure the environment is ready:
- Verify Applicability: If operating in an existing codebase, verify that using this Python SDK is possible and appropriate for the project.
- Check Dependencies: Check if
google-antigravityis listed in the project's dependencies (e.g.,requirements.txt,pyproject.toml). - Install Package: Ensure the
google-antigravityPython package is installed. - Authentication Setup:
- The SDK defaults to hosted Gemini models with an API key
(
LocalAgentConfig). When running on-device or without cloud connectivity is desired, local models (LiteRTAgentConfigorLocalOpenAIAgentConfig) can be used as an alternative without an API key or cloud credentials. - Hosted Models (Gemini - Default): Check for a valid
GEMINI_API_KEYenvironment variable or a.envfile (required to access Gemini models).- If credentials are missing, you MUST actively help the user get set
up with an API key by providing the following link:
- Default to Google AI Studio:
https://aistudio.google.com/app/api-keys
- Default to Google AI Studio:
- Explain that the API key can be passed explicitly in code as
shorthand (e.g.,
LocalAgentConfig(api_key="...")) or automatically read from the environment. - For Gemini Enterprise Agent Platform (formerly Vertex AI)
authentication, the SDK supports both Standard Mode and Express
Mode:
- Standard Mode (ADC): Instruct the user to run
gcloud auth application-default loginand configure the agent withvertex=Truealong withprojectandlocationinLocalAgentConfig. - Express Mode (API Key): Configure the agent with
vertex=Truealong withapi_key="your-express-api-key"inLocalAgentConfig(no ADC or regional project/location needed).
- Standard Mode (ADC): Instruct the user to run
- If credentials are missing, you MUST actively help the user get set
up with an API key by providing the following link:
- Local Models (Alternative): For local models (
LiteRTAgentConfigorLocalOpenAIAgentConfig), no API key or cloud credentials are needed. LiteRT is the supported on-device runtime for local models (such as Gemma 4 26B). Seereferences/local_models.mdandexamples/getting_started/local_models.mdfor setup details.
- The SDK defaults to hosted Gemini models with an API key
(
Routing Table
Use the following information to dig deeper into specific topics based on the user request. Read the referenced files or explore the directories to find relevant information.
References
- If the user needs to understand the high-level overview and core concepts of
the Google Antigravity SDK (Agent, Conversation, Connection), read
references/architecture.md. - If the user needs to perform advanced agent configuration (e.g., selecting
appropriate models, configuring execution behavior via
agent_behavior—defaulting to autonomous vs interactive—or configuring connection reliability), or understand the critical rules for model identifiers to avoid assumptions, readreferences/agent_configuration.md. - If the user needs to extend an agent's capabilities by integrating Model
Context Protocol (MCP) servers, or configure tool permissions for the agent,
read
references/mcp_integration.md. - If the user needs to define safety policies, resolve execution order,
restrict agent actions using predicates, or run terminal commands inside an
OS-level sandbox, read
references/safety_policies.md. - If the user needs to debug failed agents, stream logs, or implement error
recovery using hooks to make agents robust, read
references/error_handling.md. - If the user needs to monitor costs, track token usage (including thinking
tokens), or build custom audit logs for advanced monitoring, read
references/observability.md. - If the user needs to see a list of built-in tools and understand their default state, read
references/built_in_tools.md. - If the user needs to run agents locally using on-device models
(
LiteRTAgentConfigfor the supported on-device runtime, orLocalOpenAIAgentConfigfor external OpenAI-compatible servers like Ollama/LM Studio), understand hardware requirements, or configure local execution, readreferences/local_models.md.
Show full SKILL.md (426 more words)Show less
Examples
- If the user needs to implement basic agent behavior, streaming responses, or
expose internal thoughts, read
examples/getting_started/hello_world.md. - If the user needs to customize or override default retry behavior and
exponential backoff for API errors or schema validation, read
examples/getting_started/customizing_retries.md. - If the user needs to equip an agent with custom capabilities (tools) derived
from Python functions, or maintain agent state across tool execution, read
examples/getting_started/custom_tool.md. - If the user needs to shape an agent's persona, define its system
instructions, or dynamically adapt its behavior, read
examples/getting_started/persona_config.md. - If the user needs to build multimodal agents capable of processing images
and PDFs, or generating visual content, read
examples/getting_started/multimodal.md. - If the user needs to implement multi-agent delegation, allowing a main agent
to spawn and orchestrate subagents, or configure multi-tier nested subagent
hierarchies (using
max_subagent_depthandallowed_subagents), readexamples/getting_started/subagents.md. - If the user needs to author and execute deterministic multi-agent workflows
using
@beta.workflows.define(phase,log,agent,parallel,pipeline) andawait agent.beta.run_workflow(...), readexamples/getting_started/workflows.md. - If the user needs to connect an agent to external services via MCP (Stdio or
SSE), read
examples/getting_started/mcp_tools.md. - If the user needs to create proactive agents that respond to time-based
events or file system triggers in the background, read
examples/getting_started/periodic_trigger.md. - If the user needs to intercept agent lifecycle events (e.g., pre/post turn,
stop, tool execution, errors) to customize execution flow, read
examples/getting_started/hooks.md. - If the user needs to implement turn-level cancellation or programmatic
stream aborts, read
examples/getting_started/cancellation.md. - If the user needs to implement persistent agents that remember past
interactions across sessions, read
examples/getting_started/persistence.md. - If the user needs to override the default application data directory
for agent artifacts, scratch files, and media storage, read
examples/getting_started/app_data_dir_override.md. - If the user needs an agent to output structured data (e.g., JSON matching a
Pydantic schema) for reliable integration, read
examples/getting_started/structured_output.md. - If the user needs to add, configure, or load agent skills into the Google
Antigravity SDK agent, read
examples/getting_started/agent_skills.md. - If the user needs to enable and use built-in web tools (like Google Search
or URL fetching) with the agent, read
examples/getting_started/web_tools.md. (Note: when fetching massive web pages or articles, pairread_url_contentwithview_fileto inspect cached disk files). - If the user needs to enforce session operational limits (model or
tool calls) or proactive token budget controls (input, output, or
total tokens) and handle
StopReason, readexamples/getting_started/budget_limits.md. - If the user needs to set up and run a local model agent (LiteRT, or an
OpenAI-compatible server like Ollama), including model download, hardware
requirements, and context compaction configuration, read
examples/getting_started/local_models.md. - If the user needs to configure conversation context limits and
compaction thresholds to handle long-running sessions, read
examples/getting_started/compaction.md.
© google-antigravity, Apache-2.0. 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 28 other files (references) in skills/google-antigravity-sdk of google-antigravity/antigravity-sdk-python.
- SKILL.md
- examples/getting_started/agent_skills.md
- examples/getting_started/app_data_dir_override.md
- examples/getting_started/budget_limits.md
- examples/getting_started/cancellation.md
- examples/getting_started/compaction.md
- examples/getting_started/custom_tool.md
- examples/getting_started/customizing_retries.md
- examples/getting_started/hello_world.md
- examples/getting_started/hooks.md
- examples/getting_started/local_models.md
- examples/getting_started/mcp_tools.md
- examples/getting_started/multimodal.md
- examples/getting_started/periodic_trigger.md
- examples/getting_started/persistence.md
- examples/getting_started/persona_config.md
- examples/getting_started/structured_output.md
- examples/getting_started/subagents.md
- examples/getting_started/web_tools.md
- … and 10 more
Open the folder on GitHubat commit f61cb2f
Compare with similar skills
Google Antigravity SDK 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 |
|---|---|---|---|---|---|---|
| Google Antigravity SDK this skillgoogle-antigravity/antigravity-sdk-python | 3.7k | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| Unraiddinglebear-ai/unraid | 135 | — | ~5.4k | Automated safety check: Notes | MIT | |
| Deep Research MCP Guidepminervini/deep-research-mcp | 113 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Gemini API Devaiskillstore/marketplace | 430 | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Documentation Serverandrea9293/mcp-documentation-server | 343 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Unraiddinglebear-ai/unraid | 135 | — | ~2.8k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Google Antigravity SDK
What does Google Antigravity SDK do?
Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK. Google Antigravity SDK is an agent skill from google-antigravity/antigravity-sdk-python. Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK.
When should I use Google Antigravity SDK?
Google Antigravity SDK fits situations like: wants to create; orchestrate Google Antigravity agents.
How do I install Google Antigravity SDK in Claude Code?
Run `npx skills add google-antigravity/antigravity-sdk-python --skill google-antigravity-sdk -a claude-code`. Or copy the skill folder (skills/google-antigravity-sdk in google-antigravity/antigravity-sdk-python) into .claude/skills/google-antigravity-sdk in your project. Claude Code loads it when a task matches its description.
How do I install Google Antigravity SDK in Codex?
Run `npx skills add google-antigravity/antigravity-sdk-python --skill google-antigravity-sdk -a codex`. Or copy the skill folder (skills/google-antigravity-sdk in google-antigravity/antigravity-sdk-python) into .agents/skills/google-antigravity-sdk in your project. Codex loads it when a task matches its description.
Can I use Google Antigravity SDK 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 google-antigravity/antigravity-sdk-python --skill google-antigravity-sdk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-antigravity-sdk, .gemini/skills/google-antigravity-sdk, .github/skills/google-antigravity-sdk and .opencode/skills/google-antigravity-sdk in your project.
What does Google Antigravity SDK need to run?
Going by SKILL.md and its folder, Google Antigravity SDK needs the command-line tools its instructions call (gcloud) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; A credential in GEMINI_API_KEY.
Does Google Antigravity SDK access the network?
SKILL.md names 1 domain. In commands or code: aistudio.google.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Google Antigravity SDK safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Google Antigravity SDK use?
Google Antigravity SDK is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Google Antigravity SDK use?
About 2.1k tokens (SKILL.md is roughly 8.5k 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 12k tokens, read only when the agent opens those files.
What are the alternatives to Google Antigravity SDK?
Skills that share tags, products or a category with Google Antigravity SDK: Unraid (dinglebear-ai/unraid, 135 stars), Deep Research MCP Guide (pminervini/deep-research-mcp, 113 stars), Gemini API Dev (aiskillstore/marketplace, 430 stars) and Documentation Server (andrea9293/mcp-documentation-server, 343 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Google Antigravity SDK?
google-antigravity (a GitHub organization) maintains it in google-antigravity/antigravity-sdk-python, which has 3,673 GitHub stars. The repository was last updated on October 7, 2026.
Source: google-antigravity/antigravity-sdk-python on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.