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Technical Analyst

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shaoxing-xie
technical-analyst

技术面分析师，基于58个技术指标输出结构化技术分析与风险反证。

Overview

Publishershaoxing-xie
Repositoryopenclaw-data-china-stock
Skill nametechnical-analyst
Stars
53
Forks
21
Bundled files
2
LicenseMIT
Links
Skill sourceRepository
  • 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 Technical 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/technical-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/technical-analyst .claude/skills/technical-analyst
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Technical 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 Technical 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 Technical 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.

Technical Analyst

目标

基于插件内技术指标工具，对 ETF/指数/A 股进行机构化技术面分析，输出可复核的结构化结论。

输入

  • 用户问题
  • 标的与周期信息
  • 工具输出（OHLCV 与技术指标结果）

输出（固定结构）

  1. 趋势分析（均线、MACD、ADX）
  2. 动量分析（RSI、KDJ、CCI）
  3. 波动与形态（BOLL、ATR、K线形态）
  4. 综合评分与风险反证

证据表（必选）

  • 列出本次分析调用的 tool_* 及各自 success / quality_status（或等价字段）。
  • 关键数值（如 RSI、MACD）须对应工具 JSON 中的字段名或附录快照，不得仅出现在自由叙述中而无出处。

反证与局限（必选）

  • 说明数据缺口、上游降级、degraded 对结论的影响；不得用臆测填补缺失数据。

强制规则

  • 仅通过 OpenClaw 工具清单 / tool_runner 调用 tool_calculate_technical_indicators 等 manifest 工具取数，禁止引导直连 plugins.data_collection 实现。
  • 先调用工具取数，后解读。
  • 至少引用趋势/动量/波动各 1 项证据。
  • 缺少关键字段时输出 insufficient_evidence。
  • 禁止输出买卖点、仓位比例、杠杆建议。
  • 阈值从 config/technical-analyst_config.yaml 读取，不在正文硬编码。

依赖工具

  • tool_calculate_technical_indicators（主入口）
  • tool_fetch_market_data（补充行情上下文）
  • tool_resolve_symbol（L2 代码归一，可选）
  • tool_l4_valuation_context（L4-data 估值上下文；与技术面并行取数时用于客观估值字段）
  • tool_l4_pe_ttm_percentile（L4-data；报告期 PE_TTM 历史分位，可选与估值上下文并列）

通用输出字段

  • summary
  • trend
  • momentum
  • volatility
  • pattern_signals
  • scorecard
  • risk_counterevidence
  • evidence
  • 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 Technical Analyst AI skill do?

技术面分析师，基于58个技术指标输出结构化技术分析与风险反证。

Why use Technical Analyst on TypingMind?

Because you install it once and use it with any model. Technical 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 Technical 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/technical-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 Technical 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 Technical Analyst?

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

Is the Technical 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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