Overview
- Skill Key
- aspenas/ironclaw-outreach-sequencer
- Author
- aspenas
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/aspenas/ironclaw-outreach-sequencer
- Latest Commit SHA
- 4542f463acc7af1fcd674a1643ae4b3c2a8312e9
Create and manage multi-step outreach sequences — LinkedIn messages, cold emails, and follow-ups with personalization. Use when asked to "send outreach", "create email sequence", "follow up with leads", "start a drip campaign", "send LinkedIn messages", "personalized outreach", or any automated multi-step communication workflow.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 outreach-sequencer 技能。 若已安装,则直接安装 outreach-sequencer 技能。
# Outreach Sequencer — Multi-Step Personalized Campaigns
Design, schedule, and execute multi-step outreach sequences across LinkedIn and email. Each message is personalized per lead using their profile data from DuckDB.
## Sequence Templates
### Template 1: LinkedIn Connection + Message
```
Day 0: Send LinkedIn connection request (with note)
Day 1: If accepted → Send intro message
Day 3: If no reply → Follow-up message
Day 7: If no reply → Break-up / value-add message
```
### Template 2: Cold Email Sequence
```
Day 0: Initial cold email
Day 3: Follow-up (reply to original thread)
Day 7: Value-add email (case study, resource)
Day 14: Break-up email ("closing the loop")
```
### Template 3: Multi-Channel
```
Day 0: LinkedIn connection request
Day 2: Cold email (if not connected on LinkedIn)
Day 4: LinkedIn message (if connected) OR email follow-up
Day 7: Final touch (whichever channel they engaged on)
```
## Personalization Engine
Each message is generated per-lead using their DuckDB profile data. Use these variables:
| Variable | Source | Example |
|----------|--------|---------|
| `{first_name}` | Name field (split) | "Jane" |
| `{company}` | Company field | "Acme Corp" |
| `{title}` | Title field | "CTO" |
| `{mutual}` | Shared connections/background | "Stanford" |
| `{trigger}` | Why reaching out now | "saw your Series A" |
| `{value_prop}` | What you offer them | "AI-powered analytics" |
| `{pain_point}` | Their likely challenge | "scaling engineering team" |
### Personalization Rules
- **Never use generic openers** like "I hope this finds you well"
- **Reference something specific**: recent post, company news, shared background
- **Keep LinkedIn messages under 300 chars** (connection note limit)
- **Keep cold emails under 150 words** (respect attention)
- **Vary language across leads** — don't send identical messages to people at the same company
- **Match tone to seniority**: C-suite gets concise/strategic, ICs get technical/peer-level
### Message Gene...
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