Use Gemini CLI for research with Google Search grounding and 1M token context
/plugin marketplace add DNYoussef/context-cascade/plugin install dnyoussef-context-cascade@DNYoussef/context-cascadeThis skill inherits all available tools. When active, it can use any tool Claude has access to.
Before writing ANY code, you MUST check:
.claude/library/catalog.json.claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.mdD:\Projects\*| Match | Action |
|---|---|
| Library >90% | REUSE directly |
| Library 70-90% | ADAPT minimally |
| Pattern exists | FOLLOW pattern |
| In project | EXTRACT |
| No match | BUILD (add to library after) |
Route research tasks to Gemini CLI when:
What Gemini Does Better:
/gemini-research "What are the latest React 19 best practices?"
/gemini-research "Analyze architecture" --context @src/
/gemini-research "Summarize all papers" --context papers/*.pdf
bash scripts/multi-model/gemini-research.sh "<query>" "<task_id>" "json"
Results stored to Memory-MCP:
multi-model/gemini/research/{task_id}{
"content": "Research findings...",
"sources": ["url1", "url2"],
"model": "gemini-2.5-pro",
"timestamp": "2025-12-28T..."
}
After Gemini research completes:
// Claude agent reads Gemini research
const research = memory_retrieve("multi-model/gemini/research/{task_id}");
Task("Coder", `Implement using: ${research.content}`, "coder");
This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.