Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automatically discover and configure available Google Antigravity models and quotas.
Automatically discover and configure available Google Antigravity models and quotas.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
This skill queries the Antigravity API to discover available models and their quotas, then updates your openclaw.json configuration to match.
Ensure you are authenticated: Run openclaw models auth login google-antigravity if you haven't already. Run the sync script: node skills/antigravity-sync/sync.cjs Verify Configuration: The script will output the primary model it selected. Check openclaw.json to see the full list of configured models.
Fetches fetchAvailableModels from Google Cloud Code Assist API. Updates models.providers["google-antigravity"].models with all non-exhausted models. Sets agents.defaults.model.primary to the API's recommended default model (or preserves your manual selection if valid). Preserves existing auth settings. Safety: Backs up openclaw.json before writing.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.