sensedeal/cue-skills

Name: sensedeal/cue-skills
Author: sensedeal

插件Plugin ⭐ 6 MIT

Cue Skills for Agents

项目介绍Project Overview

由知微Agent(zhiwei)编辑Edited by Zhiwei Agent (zhiwei)

cue-skills 是 Cue 发布的开源智能体技能与 DSH 插件集合，提供深度研究、研究模板编写、网页/文档音视频解析、金融数据查询等可加载指令包。适合在 Claude Code、Codex、DSH 等代理中调用 Cue 研究与数据能力。注意：部分技能需同目录安装依赖，运行研究消耗额度，且仅覆盖公开数据源。

cue-skills is an open-source collection of Cue agent skills and DSH plugins. It adds deep research, buddy-template authoring, URL/document/media parsing, and financial-data querying as loadable instruction bundles for agents such as Claude Code, Codex, and DeepSeek Harness. Use it when an agent needs Cue’s research or MCP data services. Caveat: some skills require sibling dependencies, research runs consume credits, and only public data sources are supported.

在 GitHub 查看View on GitHub

发给你的 DSH 安装Send to your DSH

请帮我了解并安装插件：【cue-skills】【https://github.com/sensedeal/cue-skills】

把上面这条消息直接发给当前会话里的 DSH，让它帮你了解并安装。安装命令不一定准确，发给 DSH 更稳。Send this message to DSH in your current session. CLI install commands may not be accurate across systems — DSH will figure it out for you.

或使用命令行安装（适合开发者）Or use CLI install (for developers)

命令行安装CLI Install

dsh plugin --profile web add @cueai/dsh-omni-reader

把 sensedeal/cue-skills 加入你的 DSH 配置（web profile）即可启用。

READMEREADME

7.8 KB · 缓存于 2026-08-26 14:41:55 · 7.8 KB

cue-skills

English · 中文

Open-source agent skills published by Cue (sensedeal).

A skill is a portable instruction bundle that any AI agent (Claude Code, Codex CLI, Gemini CLI, …) can load to gain a new capability — without modifying the agent itself. This repo collects the skills Cue maintains for public use.

DSH users: install the Cue Omni Reader bundles

Running DeepSeek Harness? Add the two Cue bundles to a profile and get Cue Omni Reader as native mcp__omni__* tools:

dsh plugin --profile web add @cueai/dsh-omni-reader
dsh plugin --profile web add @cueai/dsh-omni-reader-guard   # optional SSRF/consent guard

Restart dsh; the model then sees mcp__omni__parse / …get_parse_status / …read_result / …read_outline / …save_result / …cancel_parse / …discard_result. Set CUE_API_KEY (+ optional OMNI_ALLOWED_ROOTS) via $DSH_HOME/.env. Guide: dsh/ · usage.md.

DSH bundles

This repo also ships DeepSeek Harness bundles under dsh/ — thin composition packages that wire a Cue MCP server into a DSH profile so its tools surface natively (e.g. mcp__omni__parse). A skill is agent-loadable instructions; a bundle is a composition package (package.json + cordis.patch.yml) for the Harness. Install one with dsh plugin --profile web add <pkg>; see dsh/README.md and the cue-omni-reader bundle.

Skills in this repo

Skill	Purpose	Status
`cue-buddy/` — cue-buddy	Lets business experts author, validate, test, tune, and pin-as-frequent Cue "buddy" research templates via natural conversation. No Python / API knowledge needed; the agent talks to the Cue production API on the user's behalf.	v0.3.6
`cue-research/` — cue-research	Sibling to cue-buddy for using Cue from inside your AI agent: ask a question → skill matches ≤2 candidate buddies (or routes to free-form deep research via `/api/rewrite`) → you confirm credits → it runs in the background and retrieves the report via replay → on satisfaction you can distill a free-form run into a saved buddy via cue-buddy. Supports 仿写/mimic (imitate a reference URL or sample document's writing style).	v0.3.6
`cue-omni-reader/` — cue-omni-reader	Helps external agents parse HTTP(S) URLs and authorized local documents, audio, or video through the official MCP tools, including safe Bridge bootstrap, recoverable operations, content-only client compatibility, complete artifact reading, and cleanup. Thin instruction layer; no custom parser or protocol driver.	v0.3.6
`cue-data-mcp/` — cue-data-mcp	Lets external agents query Cue's public MCP data services (regulatory, macro, disclosures, market data, legal full text, holdings, entity data, academic, IPO, ESOP, buyback, footnote details) by discovering live domains from the anonymous `/api/mcp-catalog` and connecting through each domain's routing DTO. Thin instruction layer; no hardcoded endpoints or tool names.	v0.3.6
`playbook/` — playbook scene skills	One agent-loadable `SKILL.md` per Cue playbook scene (equity research, credit diligence, wealth advisory, global macro, …). Load one and your agent runs that scenario's Cue deep research: it queries the live `/api/playbook` for the scene's current buddies, picks one, confirms credits, runs, and returns a source-cited report. Runtime-query-live — no baked `template_id`, so buddy add/edit/remove auto-reflects with no regeneration. Auto-generated by `scripts/gen_scene_skills.py`. Works two ways: bundled here next to `cue-research`/`cue-buddy`, or published standalone to a third-party store — a standalone scene skill self-bootstraps (clones this repo, with a Gitee mirror fallback, to fetch the runner if not already present).	auto-generated

More skills will be added here as Cue's surface grows.

What is Cue / What is a buddy

Cue is a Deep Research Agent + Intelligence Sentinel platform for high-precision finance and business workflows. It picks tools from 300+ professional data sources (A-share / HK / US equity disclosures, fund AMAC registries, business registries, court records, regulatory feeds, sell-side research, capital flow data), cross-validates findings across sources, and produces structured, source-cited reports in minutes instead of hours.

A "buddy" (搭子) is a research playbook for a specific scenario — corporate-credit pre-diligence, public-record compliance snapshot, quarterly earnings review, private-fund manager DD, etc. — defined once and reused by supplying the subject. The cue-buddy skill in this repo is what business experts use to author these playbooks conversationally.

Scope boundary: Cue's tool surface covers public data sources only (equity disclosures / business registries / court records / regulatory filings / capital flows / etc.). Scenarios requiring private data (real AML on bank-internal transactions, medical diagnosis, internal accounting) are not appropriate as Cue buddies — the supervisor cannot route them and falls back to generic web search. cue-buddy +author flow calls +capabilities to cross-check each declared evidence source against the actual catalog before persisting a template.

See cue-buddy/README.md for the full skill walkthrough.

Using a skill

cue-buddy is self-contained: an entrypoint SKILL.md, supporting references/, and stdlib-only scripts/. cue-research ships no runtime scripts of its own — it reuses cue-buddy's (cue_api / sse_report), so it must be installed alongside cue-buddy as a sibling folder.

Claude Code: copy the skill folder into ~/.claude/skills/ or reference it via /use-skill <path>. See per-skill README for exact installation. For cue-research, install cue-buddy next to it (same parent dir) so its shared scripts resolve.

Other agents: load <skill>/SKILL.md as a system instruction. The skill's scripts are stdlib-only Python where possible.

cue-omni-reader ships no runtime parser scripts. Load its SKILL.md and connect an official Omni MCP surface. Existing URL tools need no local install; local files use the audited Bridge after minimum-root confirmation.

cue-data-mcp ships no runtime code. Load its SKILL.md and let the agent discover the live data domains from the anonymous /api/mcp-catalog, then connect through each domain's routing DTO. Self-contained: no sibling folders required.

The playbook/ scene skills delegate the actual research run to cue-research's runner, which in turn reuses cue-buddy's scripts — so install all three (playbook/<scene>, cue-research, cue-buddy) as siblings under the same parent dir.

Free credits to try: every Cue account comes with free credits — 50 on first sign-up, plus 10 free every day. So once you apply for an API key (sign in via the cue CLI), you can run deep research on the free tier before spending anything. Each deep-research run still consumes credits; the skills always confirm with you before spending.

Contributing

Bug reports and skill suggestions: open an issue.

Pull requests welcome. Each skill has its own hard-rules / validator; see the skill's README for contribution guidelines.

License

MIT — see LICENSE. Skill content is free to use, modify, and redistribute.

渲染基于仓库 sensedeal/cue-skills 的 README.md。在 GitHub 查看原文 →

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