name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
日本語の概要は準備中です。原文の説明を表示しています。
Multi-channel ABM automation that turns LinkedIn URLs into coordinated outbound campaigns. Scrapes profiles, enriches with Apollo (email + phone), gets mailing addresses via Skip Trace, then orchestrates email sequences, LinkedIn touches, and handwritten letters via Scribeless. The secret weapon for standing out in crowded inboxes.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Turn LinkedIn prospect lists into multi-channel outbound: email sequences, LinkedIn touches, and handwritten letters.
| Service | Purpose | Sign Up |
|---|---|---|
| Apify | LinkedIn scraping, Skip Trace | apify.com |
| Apollo | Email & phone enrichment | apollo.io |
| Scribeless | Handwritten letters | platform.scribeless.co |
| Instantly (optional) | Dedicated cold email | instantly.ai |
export APIFY_API_KEY="your_key"
export APOLLO_API_KEY="your_key"
export SCRIBELESS_API_KEY="your_key"
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ 1. INPUT │───▶│ 2. SCRAPE │───▶│ 3. ENRICH │───▶│ 4. ADDRESS │───▶│ 5. OUTREACH │
│ LinkedIn │ │ Profiles │ │ Email/Phone │ │ Skip Trace │ │ │
│ URLs │ │ │ │ │ │ │ │ │
└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘
Your list Apify Apollo Apify PFI Email +
LinkedIn +
Scribeless
Provide a list of LinkedIn profile URLs from:
linkedin_url
https://linkedin.com/in/johndoe
https://linkedin.com/in/janesmith
curl -X POST "https://api.apify.com/v2/acts/harvestapi~linkedin-profile-scraper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"profileUrls": [
"https://linkedin.com/in/johndoe",
"https://linkedin.com/in/janesmith"
]
}'
Returns: First name, last name, company, title, location.
curl -X POST "https://api.apollo.io/api/v1/people/bulk_match" \
-H "X-Api-Key: $APOLLO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"reveal_personal_emails": true,
"reveal_phone_number": true,
"details": [{
"first_name": "John",
"last_name": "Doe",
"organization_name": "Acme Corp",
"linkedin_url": "https://linkedin.com/in/johndoe"
}]
}'
Returns: Work email, phone numbers.
curl -X POST "https://api.apify.com/v2/acts/one-api~skip-trace/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"name": ["John Doe"]}'
Returns: Street address, city, state, postal code.
Important: Verify Skip Trace state matches LinkedIn location.
Option 1: Apollo Sequences (Recommended)
curl -X POST "https://api.apollo.io/api/v1/emailer_campaigns/add_contact_ids" \
-H "X-Api-Key: $APOLLO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"emailer_campaign_id": "YOUR_SEQUENCE_ID",
"contact_ids": ["CONTACT_ID_1", "CONTACT_ID_2"],
"send_email_from_email_account_id": "YOUR_EMAIL_ACCOUNT_ID"
}'
Option 2: Instantly.ai
curl -X POST "https://api.instantly.ai/api/v1/lead/add" \
-H "Authorization: Bearer $INSTANTLY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"campaign_id": "YOUR_CAMPAIGN_ID",
"email": "john@acme.com",
"first_name": "John",
"last_name": "Doe",
"company_name": "Acme Corp",
"personalization": "Saw Acme just expanded to UK"
}'
Option 3: CSV Upload
email,first_name,last_name,company,title,phone,personalization
john@acme.com,John,Doe,Acme Corp,VP Marketing,555-1234,Saw Acme just expanded to UK
Create campaign at platform.scribeless.co, then add recipients:
curl -X POST "https://platform.scribeless.co/api/recipients" \
-H "X-API-Key: $SCRIBELESS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"campaignId": "YOUR_CAMPAIGN_ID",
"data": {
"firstName": "John",
"lastName": "Doe",
"company": "Acme Corp",
"address": {
"address1": "123 Main St",
"city": "San Francisco",
"state": "CA",
"postalCode": "94102",
"country": "US"
},
"variables": {
"custom1": "Saw Acme just expanded to the UK — congrats!"
}
}
}'
See references/scribeless-api.md for full API details.
| Day | Letter | ||
|---|---|---|---|
| 1 | — | View profile | Letter sent |
| 3 | — | Connection request | — |
| 5 | "Got my note?" | — | Letter arrives |
| 7 | Value email | Message if connected | — |
| 10 | Case study | — | — |
| 14 | Break-up | Engage content | — |
The play: Letter lands → Email references it → LinkedIn reinforces.
# 1. Start with LinkedIn URLs
linkedin_urls = load_csv("prospects.csv")
# 2. Scrape profiles
profiles = apify_linkedin_scrape(linkedin_urls)
# 3. Enrich with Apollo
for profile in profiles:
enriched = apollo_bulk_match(profile)
profile['email'] = enriched['email']
profile['phone'] = enriched['phone']
# 4. Get mailing addresses
for profile in profiles:
address = skip_trace(profile['name'])
if address['state'] == profile['linkedin_state']:
profile['address'] = address
profile['mailable'] = True
# 5. Push to channels
push_to_email_tool(profiles)
push_to_scribeless(profiles, campaign_id)
export_for_linkedin(profiles)
first_name,last_name,email,phone,company,title,address1,city,state,postal,country,linkedin,mailable
John,Doe,john@acme.com,555-1234,Acme Corp,VP Marketing,123 Main St,San Francisco,CA,94102,US,linkedin.com/in/johndoe,TRUE
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
日本語の概要は準備中です。原文の説明を表示しています。
Use cheap, TEE-verified AI models from the 0G Compute Network as OpenClaw providers. Discover available models and compare pricing vs OpenRouter, verify provider integrity via hardware attestation (Intel TDX), manage your 0G wallet and sub-accounts, and configure models in OpenClaw with one workflow. Supports DeepSeek, GLM-5, Qwen, and other models available on the 0G marketplace.
日本語の概要は準備中です。原文の説明を表示しています。
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.
日本語の概要は準備中です。原文の説明を表示しています。
Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
日本語の概要は準備中です。原文の説明を表示しています。
Find and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, check earnings or wallet balance, or set up as a 0xWork worker. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: posting tasks (use the website), managing the 0xWork platform, or frontend development.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and practices that dramatically accelerate development velocity. Covers parallel execution, automation, feedback loops, workflow optimization, and anti-pattern avoidance. Use when starting projects, planning sprints, optimizing workflows, or onboarding developers.
日本語の概要は準備中です。原文の説明を表示しています。