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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.
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。
基于 SOC 职业分类
Parses recent Gmail activity and logs interaction summaries to Evergreen CRM contacts — without storing full email bodies. Use when you want to sync email activity to your CRM, update interaction history, or keep Evergreen current with your communications. Requires Gmail connected in Claude.
Parses unstructured text (email signatures, business cards, LinkedIn profiles, meeting notes) into structured Evergreen CRM contacts. Use when adding new contacts from raw text, importing contacts from emails or messages, or batch-creating contacts from event notes.
Researches and enriches Evergreen CRM contacts with publicly available information — LinkedIn details, company info, recent news, and shared context. Use when a contact has sparse details, before an important meeting, or when batch-updating stale records.
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.
Drafts personalized follow-up emails and messages based on Evergreen CRM contact history, past interactions, and pending actions. Use when you need to write a follow-up email, thank-you note, check-in message, or any outreach to an existing contact.
Batch-processes contacts from a conference, dinner, or networking event into Evergreen CRM — creates records, tags them by event, and drafts personalized follow-up messages. Use after any event where you met multiple new people.
| 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