Antigravity Thalarch
Description
High-rigor multi-agent engineering skill, visual-production system, and reliability layer for AI coding agents
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Anti-hallucination engineering layer for Gemini on Google Antigravity.
Built first for Gemini inside Antigravity: repository inspection, version grounding, specialist routing, independent review, and real evidence before “done”.
[](#permanent-version-policy) [](#why-thalarch) [](LICENSE) [](#one-core-three-hosts) [](.github/workflows/validate.yml)
Codex and Claude Code adapters included too · Inspect first · Verify what matters · Never turn confidence into fake proof.
Why Thalarch?
A coding model can be very capable and still make familiar engineering mistakes: assume the wrong framework version, skip repository rules, patch the symptom instead of the cause, over-edit a project, or declare success without proving the result.
**Thalarch wraps the model in a stricter engineering process.** It does not try to make the underlying model sound smarter. It tries to make the work **more deliberate, more grounded, and easier to trust**.
It pushes the agent to:
- understand the repository before editing it;
- choose the smallest useful skill stack instead of activating everything blindly;
- prove version-sensitive facts against the real project and current primary sources;
- route work to the right specialist for language, architecture, debugging, security, data, performance, or visual tasks;
- keep diffs narrow and repository-native;
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