gemini-agent-booster
FeaturedMaster optimization protocol for Gemini Agent (Antigravity) to unlock native 2M+ long-context reasoning, Gemini 3.x thinking budget control, native context caching, Multimodal Live API protocols, and high-speed problem solving / Protokol optimasi utama untuk Gemini Agent (Antigravity) untuk mengaktifkan pemikiran long-context 2M+, kontrol thinking budget Gemini 3.x, context caching native, protokol Multimodal Live API, dan pemecahan masalah kecepatan tinggi.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- roedyrustam
- Repository
- roedyrustam/vibes-plug
- Created
- 4 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
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Expert guide for LLM API cost optimization, Prompt Caching, model routing (Flash/Pro/Opus), semantic caching, and token budgeting / Panduan ahli optimasi biaya API LLM, Prompt Caching, model routing, dan semantic caching.
gemini
Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3.1 Pro Preview by default for state-of-the-art reasoning and coding.
gem-advisor
The everyday tier of Gem Advisor's risk-gated selective routing for Antigravity. Gemini Pro 3.1 or Flash 3.8 holds the primary session as architect and declares solo, delegate, audit, or exceptional full before the first task tool call, then uses at most one pinned auxiliary subagent with zero Claude quota burn. Use when the user invokes /gem, /gem-advisor, or explicitly asks for routed, orchestrated, or reviewed delivery of a build, fix, or refactor. For the hardest or highest-stakes work, escalate to the gem-advisor-max tier instead.