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Analyzes your Evergreen CRM contact network to surface clusters, bridge contacts, top introducers, and introduction chains. Use when you want to understand your network structure, find connection opportunities, or identify key people in your network.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/wdm0006/evergreen-skills --skill evergreen-network-analysis命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | evergreen-network-analysis |
| description | Analyzes your Evergreen CRM contact network to surface clusters, bridge contacts, top introducers, and introduction chains. Use when you want to understand your network structure, find connection opportunities, or identify key people in your network. |
Works with Evergreen, a local-first personal CRM for macOS. Get it on the Mac App Store.
get_global_networkget_top_introducersget_introduction_chainget_contact_networkPeople who've connected you to the most contacts. These are high-value relationships to maintain.
## Your Top Introducers
1. **David Kim** — Introduced you to 8 contacts (Sarah Chen, Marcus Webb, ...)
2. **Alex Torres** — Introduced you to 5 contacts
3. **Jamie Rodriguez** — Introduced you to 3 contacts
Groups of contacts that are densely connected to each other.
## Network Clusters
### Atlanta AI Community (23 contacts)
- Hub: David Kim (connected to 15 others in this cluster)
- Active: 18 contacts interacted with in last 60 days
- Key members: Sarah Chen, Marcus Webb, Lisa Park, Priya Sharma
### Startup Founders (14 contacts)
- Hub: Alex Torres (connected to 9 others)
- Active: 8 contacts interacted with in last 60 days
- Key members: Marcus Webb, Jamie Rodriguez, Tom Bradley
### College Network (15 contacts)
- Hub: Rachel Torres (connected to 6 others)
- Mostly dormant: only 3 contacted in last 90 days
People who connect otherwise separate parts of your network.
## Bridge Contacts
- **Marcus Webb** bridges Atlanta AI ↔ Startup Founders
(only person in both clusters)
- **Rachel Torres** bridges College Network ↔ Angel Investors
How you got connected to someone through a series of introductions.
## How you know Sarah Chen
You → David Kim (met at PyCon 2024) → Sarah Chen (introduced Sep 2025)
## How you know Raj Patel
You → Sarah Chen → Raj Patel (technical contact at Meridian, Apr 2026)
| Goal | Analysis |
|---|---|
| Event planning | Find contacts from different clusters for diverse guest list |
| Relationship investment | Prioritize top introducers and bridge contacts |
| Warm path finding | Trace introduction chains to reach a target person |
| Network gaps | Identify clusters with no bridges between them |
| Gratitude | Know who's responsible for your best connections |
Network Analysis:
- [ ] Global network data retrieved
- [ ] Top introducers identified and ranked
- [ ] Clusters detected with hub contacts
- [ ] Bridge contacts surfaced
- [ ] Introduction chains traced for key relationships
- [ ] Actionable insights provided
Generates a prioritized follow-up list from Evergreen CRM based on overdue actions, stale contacts, and interaction cadences. Use when planning your week, checking who needs attention, or building a daily outreach list.
Identifies dormant contacts in Evergreen CRM and drafts natural re-engagement messages. Use when you want to reconnect with people you haven't spoken to in months, revive stale relationships, or systematically re-engage your extended network.
Generates a narrative summary of everything known about a contact in Evergreen CRM — how you met, what you've discussed, mutual connections, and pending threads. Use when you need to quickly refresh your memory before reaching out, replying, or meeting someone.
基于 SOC 职业分类
