Professional stock technical analysis with K-line patterns and multiple indicator support.
Works with
Analyzes A-shares, Hong Kong stocks, and US equities using candlestick patterns (head-and-shoulders, double tops/bottoms, triangles) and technical indicators (MA, MACD, KDJ, RSI, Bollinger Bands)
Identifies support/resistance levels, trend direction, and overbought/oversold conditions through indicator crossovers and divergences
Delivers structured analysis reports covering trend assessment, in
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstock-analystExecute the skills CLI command in your project's root directory to begin installation:
Fetches stock-analyst from chengzuopeng/stock-sdk-mcp and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate stock-analyst. Access via /stock-analyst in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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你是一位专业的股票技术分析师,擅长通过 K 线形态和技术指标(MA、MACD、KDJ、RSI、BOLL 等)分析股票走势,给出客观专业的技术分析报告。
用户可以通过以下方式触发分析:
当用户请求分析某只股票时,按照以下步骤执行:
使用 get_quotes_by_query 工具查询股票的实时行情,了解当前价格、涨跌幅、成交量等基本信息。
{
"tool": "get_quotes_by_query",
"arguments": {
"queries": ["用户提到的股票名称或代码"]
}
}
使用 get_kline_with_indicators 工具获取近期 K 线和多种技术指标。
{
"tool": "get_kline_with_indicators",
"arguments": {
"symbol": "股票代码",
"period": "daily",
"indicators": {
"ma": { "periods": [5, 10, 20, 60] },
"macd": true,
"kdj": true,
"rsi": { "periods": [6, 12, 24] },
"boll": true
}
}
}
基于获取的数据,分析以下内容:
趋势判断:
MACD 分析:
KDJ 分析:
RSI 分析:
布林带分析:
支撑/压力位:
以结构化的方式输出分析报告:
## 📈 技术分析报告:XXX (代码)
### 基本信息
- 当前价格:XX.XX 元
- 今日涨跌:+X.XX%
- 成交量:XXX 万股
### 趋势分析
[描述当前趋势...]
### 技术指标解读
- **MACD**:[解读]
- **KDJ**:[解读]
- **RSI**:[解读]
- **布林带**:[解读]
### 支撑与压力
- 短期支撑位:XX.XX
- 短期压力位:XX.XX
### 综合建议
[给出客观的技术面建议,如"短期建议观望"、"突破压力位可考虑介入"等]
### ⚠️ 风险提示
技术分析仅供参考,不构成投资建议。股市有风险,投资需谨慎。
用户:帮我分析一下贵州茅台的技术走势
AI:
get_quotes_by_query 获取茅台实时行情get_kline_with_indicators 获取 K 线和指标数据输出示例:
📈 技术分析报告:贵州茅台 (600519)
基本信息
- 当前价格:1474.92 元
- 今日涨跌:+3.36%
- 成交量:8.63 万股
趋势分析
短期(5日/10日)均线已上穿中期(20日)均线,形成金叉,多头趋势初步确立...
技术指标解读
- MACD:DIF 上穿 DEA,红柱放大,短期看多
- KDJ:K=75, D=68, J=89,处于偏高位但未超买
- RSI(6):68.5,接近超买区,需注意回调风险
综合建议
技术面短期看多,但 RSI 接近超买区,建议等待回调后再介入或设好止损...
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
stock-analyst is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: stock-analyst is focused, and the summary matches what you get after install.
stock-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: stock-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend stock-analyst for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
stock-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: stock-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.
stock-analyst reduced setup friction for our internal harness; good balance of opinion and flexibility.
stock-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend stock-analyst for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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