Intelligent stock monitoring system with seven alert rules tailored for Chinese investors.
Works with
Seven alert categories: cost percentage gains/losses, intraday price swings, volume anomalies, moving average crossovers, RSI overbought/oversold, gap detection, and dynamic profit-taking
Three-tier alert severity (urgent, warning, reminder) based on single or multiple concurrent conditions; supports individual stocks, ETFs, and gold with differentiated thresholds
Runs as a background daemon wi
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstock-monitorExecute the skills CLI command in your project's root directory to begin installation:
Fetches stock-monitor from chjm-ai/stock-monitor-skill 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-monitor. Access via /stock-monitor 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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| 规则 | 触发条件 | 权重 |
|---|---|---|
| 成本百分比 | 盈利+15% / 亏损-12% | ⭐⭐⭐ |
| 日内涨跌幅 | 个股±4% / ETF±2% / 黄金±2.5% | ⭐⭐ |
| 成交量异动 | 放量>2倍均量 / 缩量<0.5倍 | ⭐⭐ |
| 均线金叉/死叉 | MA5上穿/下穿MA10 | ⭐⭐⭐ |
| RSI超买超卖 | RSI>70超买 / RSI<30超卖 | ⭐⭐ |
| 跳空缺口 | 向上/向下跳空>1% | ⭐⭐ |
| 动态止盈 | 盈利10%+后回撤5%/10% | ⭐⭐⭐ |
{
"code": "600362",
"name": "江西铜业",
"type": "individual", # 个股
"market": "sh",
"cost": 57.00, # 持仓成本
"alerts": {
# 1. 成本百分比
"cost_pct_above": 15.0, # 盈利15%提醒 (¥65.55)
"cost_pct_below": -12.0, # 亏损12%提醒 (¥50.16)
# 2. 日内涨跌幅 (个股±4%)
"change_pct_above": 4.0,
"change_pct_below": -4.0,
# 3. 成交量异动
"volume_surge": 2.0, # 放量>2倍5日均量
# 4-7. 技术指标 (默认开启)
"ma_monitor": True, # 均线金叉死叉
"rsi_monitor": True, # RSI超买超卖
"gap_monitor": True, # 跳空缺口
"trailing_stop": True # 动态止盈
}
}
| 类型 | 日内异动阈值 | 成交量阈值 | 适用标的 |
|---|---|---|---|
| individual (个股) | ±4% | 2倍 | 江西铜业、中国平安 |
| etf (ETF) | ±2% | 1.8倍 | 恒生医疗、创50等 |
| gold (黄金) | ±2.5% | 无 | 伦敦金 |
cd ~/workspace/skills/stock-monitor/scripts
./control.sh start # 启动
./control.sh status # 查看状态
./control.sh log # 查看日志
./control.sh stop # 停止
| 时间段 | 频率 | 监控标的 |
|---|---|---|
| 交易时间 9:30-15:00 | 每5分钟 | 全部+技术指标 |
| 午休 11:30-13:00 | 每10分钟 | 全部 |
| 收盘后 15:00-24:00 | 每30分钟 | 全部 (日线数据) |
| 凌晨 0:00-9:30 | 每1小时 | 仅伦敦金 |
| 周末 | 每1小时 | 仅伦敦金 |
🚨【紧急】🔴 江西铜业 (600362)
━━━━━━━━━━━━━━━━━━━━
💰 当前价格: ¥65.50 (+15.0%)
📊 持仓成本: ¥57.00 | 盈亏: 🔴+14.9%
🎯 触发预警 (3项):
• 🎯 盈利 15% (目标价 ¥65.55)
• 🌟 均线金叉 (MA5¥63.2上穿MA10¥62.8)
• 📊 放量 2.5倍 (5日均量)
📊 江西铜业 深度分析
💰 价格异动:
• 当前: 65.5 (+15.0%)
• MA趋势: MA5>MA10>MA20 [多头排列]
• RSI: 68 [接近超买]
💡 Kimi建议:
🚀 多条件共振，趋势强劲，可考虑继续持有或分批减仓。
⚠️【警告】🟢 恒生医疗 (159892)
━━━━━━━━━━━━━━━━━━━━
💰 当前价格: ¥0.72 (-10.0%)
📊 持仓成本: ¥0.80 | 盈亏: 🟢-10.0%
🎯 触发预警 (2项):
• 📉 日内大跌 -10.0%
• ❄️ RSI超卖 (28.5)，可能反弹
💡 Kimi建议:
🔍 短期超跌严重，RSI进入超卖区，关注反弹机会但勿急于抄底。
📢【提醒】🔴 中国平安 (601318)
━━━━━━━━━━━━━━━━━━━━
💰 当前价格: ¥70.50 (+6.8%)
📊 持仓成本: ¥66.00 | 盈亏: 🔴+6.8%
🎯 触发预警:
• 📉 利润回撤 5.2%，建议减仓保护利润
(最高盈利12%已回撤)
stock-monitor/
├── SKILL.md # 本文档
├── RULE_REVIEW_REPORT.md # 规则审核报告
└── scripts/
├── monitor.py # 核心监控 (7大规则)
├── monitor_daemon.py # 后台常驻进程
├── analyser.py # 智能分析引擎
└── control.sh # 一键控制脚本
"cost": 55.50, # 改成你的实际成本
"cost_pct_above": 20.0, # 盈利20%提醒
"cost_pct_below": -15.0, # 亏损15%提醒
"change_pct_above": 5.0, # 日内异动±5%
"volume_surge": 3.0, # 放量3倍提醒
"ma_monitor": False, # 关闭均线
"rsi_monitor": True, # 开启RSI
"gap_monitor": True, # 开启跳空
核心原则:
预警系统目标是"不错过大机会，不犯大错误"，不是"抓住每一个波动"。
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
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: stock-monitor is focused, and the summary matches what you get after install.
stock-monitor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
stock-monitor has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in stock-monitor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend stock-monitor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
stock-monitor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
stock-monitor reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: stock-monitor is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend stock-monitor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: stock-monitor is the kind of skill you can hand to a new teammate without a long onboarding doc.
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