Personal stock watchlist management with real-time performance tracking from 10jqka.com.cn.
Works with
Add, remove, list, and clear stocks using 6-digit stock codes; data persists in a local watchlist file
Fetches live market data including price changes, performance metrics, and direct links to detailed stock pages
Supports A-share markets (Shanghai, Shenzhen, and STAR Board) with automatic error handling and rate limiting
Built-in performance summary command displays key metrics for all wa
This skill provides comprehensive stock watchlist management capabilities, allowing users to track their favorite stocks and get performance summaries using real-time data from 同花顺 (10jqka.com.cn).
当你要求查看自选股行情时，系统会直接显示以下信息：
无需额外命令，直接为你呈现简洁明了的行情概览。
使用股票代码（6位数字）添加到自选股：
通过股票代码删除自选股：
显示当前所有自选股的完整列表
完全清空所有自选股
主要使用同花顺 (10jqka.com.cn) 作为数据源：
https://stockpage.10jqka.com.cn/{stock_code}/自选股存储在 ~/.clawdbot/stock_watcher/watchlist.txt：
600053|九鼎投资
600018|上港集团
688785|恒运昌
600053）运行 scripts/install.sh 脚本自动创建必要的目录结构。
运行 scripts/uninstall.sh 脚本完全移除所有相关文件。
所有脚本都使用统一的配置文件 config.py 来管理存储路径，确保路径一致性：
add_stock.py - 添加股票到自选股remove_stock.py - 从自选股删除股票list_stocks.py - 列出所有自选股clear_watchlist.py - 清空自选股列表summarize_performance.py - 获取股票行情摘要AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstock-watcherExecute the skills CLI command in your project's root directory to begin installation:
Fetches stock-watcher from agentbay-ai/agentbay-skills 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-watcher. Access via /stock-watcher 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.
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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
3
total installs
3
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GitHub stars
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Run in your terminal
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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
We added stock-watcher from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
stock-watcher reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in stock-watcher — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for stock-watcher matched our evaluation — installs cleanly and behaves as described in the markdown.
stock-watcher reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for stock-watcher matched our evaluation — installs cleanly and behaves as described in the markdown.
stock-watcher is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: stock-watcher is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend stock-watcher for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
stock-watcher fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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