ANTIGRAVITY AWESOME SKILLS V10.10.0 SHIPS PRODUCTION-AUDIT AND CONTEXT-PRUNING SKILLS
Antigravity Awesome Skills v10.10.0 ships a production-audit skill and a context-pruning workflow for long-running coding agents. The [v10.10.0 release](https:...
Antigravity Awesome Skills v10.10.0 ships a production-audit skill and a context-pruning workflow for long-running coding agents.
The v10.10.0 release adds a production-audit skill covering deployment health, RLS, webhooks, secrets exposure, grants, Stripe idempotency, and production signals.
It also adds a recursive context-pruning/token-budgeting workflow to keep multi-hour agent sessions focused and cheaper, plus a source pointer update for the BuyWhere MCP integration and refreshed provenance/credits.
If you run AI-assisted workflows for app checks or build/deploy automation, this update gives you a concrete gate for launch readiness and a way to reduce token burn without hand-tuning prompts.
You can gate releases with automated checks that catch real production risks, not just lint and tests.
Context-pruning can cut token costs and drift in long agent sessions without losing critical details.
-
terminal
Run production-audit on staging and a canary env; diff findings (RLS, webhooks auth, secrets, grants, Stripe idempotency) and wire failures to CI exit codes.
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terminal
A/B long agent runs with and without context-pruning; measure token use, latency, and outcome quality on the same tasks.
Legacy codebase integration strategies...
- 01.
Add production-audit as a pre-prod CI/CD gate; tune allowlists to avoid false positives and track deltas across releases.
- 02.
If you use the old BuyWhere Cursor plugin, repoint configs to the general MCP server and revalidate permissions.
Fresh architecture paradigms...
- 01.
Bake the context-pruning workflow into your default agent bundles to keep tokens predictable from day one.
- 02.
Use production-audit as a standard launch checklist so app teams converge on the same readiness bar.
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