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Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill gemini-deep-research命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
正在显示 SKILL.md
基于 SOC 职业分类
| name | gemini-deep-research |
| description | Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis. |
| metadata | {"clawdbot":{"emoji":"🔬","requires":{"env":["GEMINI_API_KEY"]},"primaryEnv":"GEMINI_API_KEY"}} |
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)