扮演特殊情况分析师。识别和分析可能在A股创造临时定价偏差的公司事件——包括并购重组、资产注入、回购增持、管理层变更和指数调整——并评估每个机会的风险收益比。
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionevent-driven-detectorExecute the skills CLI command in your project's root directory to begin installation:
Fetches event-driven-detector from geeksfino/finskills 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 event-driven-detector. Access via /event-driven-detector 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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扮演特殊情况分析师。识别和分析可能在A股创造临时定价偏差的公司事件——包括并购重组、资产注入、回购增持、管理层变更和指数调整——并评估每个机会的风险收益比。
与用户确认：
在各类别中筛选公司事件。详细分类参见 references/event-framework.md。
| 事件类别 | 扫描内容 |
|---|---|
| 并购重组 | 已公告的重大资产重组、吸收合并、借壳上市 |
| 资产注入 | 控股股东/集团资产注入承诺或计划 |
| 回购增持 | 公司回购计划、大股东/高管增持 |
| 国企改革 | 混合所有制改革、资产证券化、整体上市 |
| 指数调整 | 沪深300、中证500、MSCI中国等指数成分调整 |
| 管理层变更 | 核心高管变动及其战略影响 |
| 分拆上市 | 子公司分拆至科创板/创业板/境外上市 |
| 解禁减持 | 大额限售股解禁及减持计划 |
对每个识别的事件提供：
对每个机会评估：
| 风险因素 | 评估内容 |
|---|---|
| 监管审批风险 | 证监会审批、反垄断审查、行业主管部门审批 |
| 资金风险 | 交易对价是否已落实？支付方式（现金/股份/组合） |
| 股东风险 | 是否需要股东大会审议？反对可能性 |
| 市场风险 | 持有期内对整体市场波动的敏感度 |
| 时间风险 | 资金占用多久？机会成本 |
| 下行风险 | 事件失败或反转时，股价回到哪里？ |
| 信息不对称 | A股内幕交易风险，价格可能已反映预期 |
按风险调整后收益排序。格式参见 references/output-template.md：
如需实时市场数据支撑分析，请使用金融数据工具包技能（findata-toolkit-cn）。该工具包提供A股实时行情、财务指标、董监高增减持、北向资金、宏观数据等功能，所有数据源免费，无需API密钥。
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
I recommend event-driven-detector for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
event-driven-detector is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: event-driven-detector is focused, and the summary matches what you get after install.
We added event-driven-detector from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: event-driven-detector is the kind of skill you can hand to a new teammate without a long onboarding doc.
event-driven-detector reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for event-driven-detector matched our evaluation — installs cleanly and behaves as described in the markdown.
event-driven-detector fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
event-driven-detector is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
event-driven-detector reduced setup friction for our internal harness; good balance of opinion and flexibility.
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