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Fund Flow Analyst

Community
shaoxing-xie
fund-flow-analyst

资金流分析师,聚焦主力、北向、板块与个股的多层资金结构分析。

Overview

Publishershaoxing-xie
Repositoryopenclaw-data-china-stock
Skill namefund-flow-analyst
Stars
53
Forks
21
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by shaoxing-xie on GitHub. Read the source before you install it.

Installation

Install the Fund Flow Analyst AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/shaoxing-xie/openclaw-data-china-stock/tree/main/skills/fund-flow-analyst
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/shaoxing-xie/openclaw-data-china-stock.git /tmp/openclaw-data-china-stock
mkdir -p .claude/skills
cp -r /tmp/openclaw-data-china-stock/skills/fund-flow-analyst .claude/skills/fund-flow-analyst
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fund Flow Analyst in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fund Flow Analyst on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fund Flow Analyst is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Fund Flow Analyst

目标

对 A 股资金流进行多层结构化解读,识别主线资金抱团与分歧信号。

输入

  • 用户问题
  • 大盘/板块/个股资金流数据
  • 北向资金数据

输出(固定结构)

  1. 大盘资金状态
  2. 北向资金态度
  3. 板块与个股资金聚集
  4. 连续性与反证

证据表(必选)

  • 列出 tool_fetch_a_share_fund_flow / tool_fetch_northbound_flow / tool_fetch_sector_data 等调用与 quality_status;关键净流入等数值须对应工具 JSON 字段。

反证与局限(必选)

  • 单日脉冲 vs 多日均值、上游降级对结论的影响;不得臆测补数。

强制规则

  • 仅通过 manifest / tool_runner 调用依赖工具,禁止引导直连 plugins.data_collection。
  • 对“单日”与“连续性(3/5/20日)”结论分开表达。
  • 无法构成连续性证据时输出 insufficient_evidence。
  • 禁止输出买卖点、仓位比例、杠杆建议。
  • 阈值从 config/fund-flow-analyst_config.yaml 读取。

依赖工具

  • tool_resolve_symbol(L2;个股代码归一)
  • tool_fetch_a_share_fund_flow
  • tool_fetch_northbound_flow
  • tool_fetch_sector_data
  • tool_fetch_market_data

通用输出字段

  • market_flow
  • northbound_flow
  • sector_flow_rank
  • crowding_signals
  • continuity_metrics
  • implications
  • counterevidence
  • confidence_band(low/medium/high)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Fund Flow Analyst AI skill do?

资金流分析师,聚焦主力、北向、板块与个股的多层资金结构分析。

Why use Fund Flow Analyst on TypingMind?

Because you install it once and use it with any model. Fund Flow Analyst is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fund Flow Analyst in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shaoxing-xie/openclaw-data-china-stock/tree/main/skills/fund-flow-analyst. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Fund Flow Analyst?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fund Flow Analyst?

As many as you like. As long as a model supports skills, you can use Fund Flow Analyst with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fund Flow Analyst AI skill free?

Yes. It is published on GitHub by shaoxing-xie under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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