cue-global-macro
用 Cue 跑「全球宏观」场景的深度研究:多源公开数据交叉、结论带来源。 Run Cue deep research for the "Global Macro" scenario.
Skill by sensedeal
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sensedeal-cue-global-macro
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/cue-global-macro
What's inside
- Skill name
cue-global-macro- Description
- 用 Cue 跑「全球宏观」场景的深度研究:多源公开数据交叉、结论带来源。 Run Cue deep research for the "Global Macro" scenario. 触发 Triggers: 全球宏观、宏观与日历 / global macro, central bank policy, inflation comparison
- License
- MIT
- Metadata
- scene: 全球宏观 · source: cuecue.cn/playbook · generated_from: /api/playbook
- Instructions
- 41 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Cue「全球宏观」研究 skill
加载本 skill 后,你可以用 Cue 跑这个场景的深度研究(多源公开数据交叉、结论带来源链接)。
## 何时用
全球宏观:宏观与日历。
## 当前可用搭子(仅供理解;运行时以 live 为准)
- 跨国宏观对比:用世界银行官方跨国年度指标,横向对比多国的 GDP 规模与增速、通胀、人口与贸易开放度,看清各经济体在全球版图中的相对位
- 港新枢纽宏观:把香港与新加坡两大亚洲金融与贸易枢纽的通胀、实际 GDP、就业与对外贸易官方读数并排对照,供跨境配置、出海选址与家办研究
- 全球通胀监测:横向监测欧元区、英国、香港、新加坡的最新通胀(HICP / CPI / CPIH / RPI)与世界银行跨国年度通胀,看
- 经济体宏观体检:选定一个经济体(欧元区 / 英 / 加 / 新 / 港),把实际 GDP、通胀、就业、利率汇率的官方最新读数一次扫齐,快
- 全球央行利率与汇率:追踪欧元区、英国、加拿大三大央行的政策利率路径与欧元、英镑、加元兑美元汇率,看清非美央行货币政策与汇率环境的边际变化,与
## 准备 Cue runner(首次用时,幂等)
本 skill 不自带脚本,靠 Cue 开源 runner 跑研究。先确认 runner 是否就绪:
- 若你已安装 `cue-skills`(或本 skill 来自整包发布)→ 直接用其中的 `cue-research/scripts/research_run.py`,**跳过本节**。
- 否则克隆开源仓(拿到自包含的 cue-research runner;整仓克隆最省事),**有则更新、无则克隆**(GitHub 不通走镜像):
```bash
if [ -d ~/.cue/cue-skills/.git ]; then
git -C ~/.cue/cue-skills pull --ff-only
else
git clone https://github.com/sensedeal/cue-skills ~/.cue/cue-skills \
|| git clone https://gitee.com/sensedeal/cue-skills ~/.cue/cue-skills
fi
```
之后 runner = `~/.cue/cue-skills/cue-research/scripts/research_run.py`。需 `git` + `python3`(runner 仅用标准库)。
## 怎么跑(搭子是动态的,运行时查 live)
1. **拉本场景当前搭子**:`GET https://cuecue.cn/api/playbook`,找 `secondary_category == "全球宏观"` 的 scene,读 `buddies[]`(每个有 `template_id`/`title`/`goal`)。若该场景当前不在返回里(临时未达展示门槛)→ 告知用户暂不可用。
2. **选一个搭子**:**委托 cue-research 的匹配逻辑**(其 `+match`/Stage-2:对 `goal` 做语义匹配、把用户的具体主体从匹配中剥离、弱命中先列 ≤2 候选确认)——不要只按字面 title 关键词裸选。取选中搭子的 `template_id`。
3. **确认 credits(强制)**:跑深度研究消耗 credits。运行前显式问用户「将用搭子 X 跑【主体】,耗 credits,是否继续?」并等确认。
4. **跑**:`python3 ~/.cue/cue-skills/cue-research/scripts/research_run.py --query "<用户主体/问题>" --template-id <template_id>`(用上一节就绪的 runner 路径;已装 cue-skills 则用你本地的 `cue-research/scripts/research_run.py`)。深度研究 3–15 分钟;长跑 live 流常不带报告段,用 replay 取最终报告。 读 runner 末行 `RESULT ok|empty`:`empty` → 告知用户本次未取到内容、可换主体/搭子重试,**不要编造**。
5. **回报**:把带来源链接的报告交给用户,不去掉来源、不杜撰。
## 前置
- Cue 账号 API key(cue CLI 登录后在 `~/.cue/config.json`,runner 自动读);新账号赠送积分(注册 500 + 每天 10),可先用赠送额度试。
- `git` + `python3`(自举 runner 用;runner 仅标准库)。
- 跑深度研究**消耗 credits**;只覆盖公开数据,不替代尽调/法律/核保。From sensedeal/cue-skills, MIT.
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Signals
- Stars
- 6
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 11, 2026 (1 month ago)
- Last release
- Oct 9, 2026 (19 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/sensedeal/cue-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
cue-global-macro skill. Agent Mart. https://agentmart.dev/skills/sensedeal-cue-global-macro (last updated 2026-10-24)