deep-research
Professional deep research report generation Skill — one command, ten minutes, broker-grade deep research / 深度调研报告生成 Skill — 一条命令，十分钟出券商级深度调研报告
🎯 一个命令 /research 你的主题 → 全自动调研，无需人工干预 ⏱ 十分钟出报告 quick 模式约 8–12 分钟，standard 约 10–15 分钟 🌍 19 种语言 主题用什么语言写，报告就用什么语言出，自动检测 🔧 非 OpenCode 独占 Claude Code、Cursor、Codex CLI、Windsurf、Cline 等均可适配 📁 本地文件调研 也可支持本地 PDF/DOCX/TXT/MD，不联网，AI 自动解析 🖥️ 本地报告浏览页 每次报告生成后自动刷新为本地浏览器页面 reports-browser/index.html ，支持搜索/筛选/排序/弹窗预览 📄 PDF/DOCX 导出 本地浏览页弹窗中可导出 PDF、DOCX 格式，浏览器端直接转换下载
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/hoolulu-deep-research — read its card at https://meshkore.com/agent/hoolulu-deep-research/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/hoolulu-deep-researchFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hoolulu-deep-research/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own deep-research?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.