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cue-capital-operations

用 Cue 跑「资本运作」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 "Capital Operations" scenario.

Skill by sensedeal

IndexedMIT★ 6
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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.

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用 Cue 跑「资本运作」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 "Capital Operations" scenario. 触发 Triggers: 资本运作、公司事件与资本运作、信披与监管 / capital operations, M&A, private placement

Use cases: research

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/cue-capital-operations

What's inside

Skill name
cue-capital-operations
Description
用 Cue 跑「资本运作」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 "Capital Operations" scenario. 触发 Triggers: 资本运作、公司事件与资本运作、信披与监管 / capital operations, M&A, private placement
License
MIT
Metadata
scene: 资本运作 · source: cuecue.cn/playbook · generated_from: /api/playbook
Instructions
43 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Cue「资本运作」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
资本运作:公司事件与资本运作、信披与监管、财务与业绩。

## 当前可用搭子(仅供理解;运行时以 live 为准)
  - 资本运作解读:全量回溯公司资本运作、深挖战略意图、评估市场影响,帮管理层客观评价过往动作的市值贡献,并为未来回购、分红、并购决策提供参
  - 股份回购查询与复盘:用历史溯源、条款深挖、同业对标与市场复盘,研判回购对护盘、价值发现与股本优化的成效,为市值管理决策提供数据支撑。
  - 股权激励企业挖掘:截胡雷达。筛出估值低位且现金充裕、有动力推股权激励的未公告标的,抢在同行前面锁定B端大单。
  - 股权激励查询:查询上市公司历史股权激励计划,分析方案设计与效果,拉取同行竞品方案对比,用真实数据告诉你什么才有竞争力。
  - 分拆商机洞察:以公司公告、交易所项目文件和现行监管规则核验分拆项目状态与合规条件。项目已终止或未见重启时,以官方事实和条件式补证清单为
  - 调研纪要解读:解码上市公司资本运作交流会纪要的核心信息,多维验证管理层指引可信度、穿透历史言行一致性,挖掘未被市场定价的风险与机会。
  - 事件风险与资本运作时间线:穿透公司的并购重组、股东增减持、机构调研、监管处罚与重大诉讼,把结构化事件与披露原文放在同一条时间线上复核。

## 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 == "资本运作"` 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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Last commit (this folder)
Sep 11, 2026 (1 month ago)
Last release
Oct 9, 2026 (22 days ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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cue-capital-operations skill. Agent Mart. https://agentmart.dev/skills/sensedeal-cue-capital-operations (last updated 2026-10-24)