From sundial-org-awesome-openclaw-skills-4
Performs complex long-running research using Gemini Deep Research Agent: breaks down queries, conducts systematic web searches, synthesizes multi-source findings into reports for competitive analysis, market research, technical investigations.
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin sundial-org-awesome-openclaw-skills-4This skill uses the workspace's default tool permissions.
Use Gemini's Deep Research Agent to perform complex, long-running context gathering and synthesis tasks.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Generates original PNG/PDF visual art via design philosophy manifestos for posters, graphics, and static designs on user request.
Use Gemini's Deep Research Agent to perform complex, long-running context gathering and synthesis tasks.
GEMINI_API_KEY environment variable (from Google AI Studio)Deep Research is an agent that:
scripts/deep_research.py --query "Research the history of Google TPUs"
scripts/deep_research.py --query "Research the competitive landscape of EV batteries" \
--format "1. Executive Summary\n2. Key Players (include data table)\n3. Supply Chain Risks"
scripts/deep_research.py --query "Compare our 2025 fiscal year report against current public web news" \
--file-search-store "fileSearchStores/my-store-name"
scripts/deep_research.py --query "Your research topic" --stream
The script saves results to timestamped files:
deep-research-YYYY-MM-DD-HH-MM-SS.md - Final report in markdowndeep-research-YYYY-MM-DD-HH-MM-SS.json - Full interaction metadatahttps://generativelanguage.googleapis.com/v1beta/interactionsdeep-research-pro-preview-12-2025x-goog-api-key header (NOT OAuth Bearer token)