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antigravity-cli
Use Antigravity CLI as a subagent. Lets the main agent prompt Antigravity CLI from the terminal in headless mode with the `agy` command, and send the goal, the decisions and the scope with the task. Use when the user asks to delegate work to Antigravity CLI, when a task needs a second independent agent, or when a plan needs a fresh perspective.
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
// README
Subagent CLI Skills 🧔🏻👶🏻
A collection of Skills that connects agents from any vendor to each other.
Let Claude Code prompt Codex, Antigravity or Pi as a subagent. All agents can call each other as subagent. Supports 24 agents.
How It Works
Almost every coding agent has a headless mode. This mode runs the agent from the terminal with one command. Each skill in this repository teaches your main agent how to call one other agent in this way.
Each skill also applies a delegation and context transfer protocol. The subagent starts with an empty context. The protocol sends the goal, the decisions and the scope with every command. The subagent then has the state that it needs to do the task correctly.
🛠️ Installation
Option 1: Interactive Installer
Run the installer with curl:
curl -sSL https://raw.githubusercontent.com/amirkiarafiei/subagent-cli-skills/main/install.sh | bash
Or run it locally, if you cloned the repository:
chmod +x install.sh
./install.sh
Option 2: Give this prompt to your agent
Read https://raw.githubusercontent.com/amirkiarafiei/subagent-cli-skills/main/AGENTIC_INSTALLATION.md and follow the instructions to install the Subagent CLI Skills.
Your agent finds which tools you have, asks what it needs to know, and installs the skills. See AGENTIC_INSTALLATION.md.
Option 3: Download the skill folder
From ./skills/<vendor>/ — it contains SKILL.md and reference.md
Example Usage
Name the tool in your request. Your agent then activates the correct skill. You can also type the slash command yourself. You can name a model for each tool.
1. Review code with two different agents and models
Ask Codex with GPT-Astra and Hermes with GLM-5.3 to review the code using their subagent cli skills
2. Get the latest documentation
/antigravity-cli Read the latest docs for the Stripe API. List the breaking changes.
3. Build two features at the same time with two different agents
Build the login form with Codex. Build the signup form with OpenCode.
4. Get fresh ideas on a plan from three different agents
Ask Pi and Grok and Devin to analyze the plan to get fresh and diverse ideas.
🔌 Support
Antigravity · Claude Code · Cline · Codex · Copilot · Cursor · Deep Agents Code · Devin · Gemini · Goose · Grok · Hermes Agent · Junie · Kilo Code · Kimi Code · Kiro · Mistral Vibe · Oh My Pi · OpenClaw · OpenCode · OpenHands · Pi · Qoder · Qwen Code
Delegation and Context Transfer Protocol
The delegation technique and philosophy used in this project are inspired by the principles outlined in Don't Build Multi-Agents by Cognition AI:
We implement a stateless delegation pattern that offloads tactical work to CLI subagents by injecting a comprehensive "shared state" into every atomic command to prevent context fragmentation.
- Shared State Handoff: Inject the original goal, prior architectural decisions, and explicit codebase scope into the prompt to bridge the subagent's lack of session history.
- Contextual Preservation: Execute high-volume tasks in isolated headless environments to save orchestrator tokens and avoid "split story" failures caused by missing history.
- Result Reconciliation: Pull new technical assumptions and filesystem changes back into the main thread after every delegation to maintain a single source of truth.
This methodology is further refined by lessons from Superpowers and Claude Code, incorporating rigorous verification loops and context hygiene to ensure subagents remain aligned with the primary orchestrator.
License
This project is licensed under the MIT License - see the LICENSE file for details.
// HOW IT'S BUILT
KEY FILES