Agent skill · Data & Analytics

linkedin-message-writer

Research LinkedIn profiles and write personalized messages for any LinkedIn message type — connection requests, InMails, DMs, message requests, post comments, and comment replies. Takes LinkedIn URLs as input, researches each person (profile data + recent posts via Apify), and generates messages tailored to each lead's background, interests, and recent activity. Exports tool-ready CSVs for Dripify, Expandi, Botdog, PhantomBuster, or generic format. No LinkedIn cookies or login required.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill linkedin-message-writer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/outreach/capabilities/linkedin-message-writer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LinkedIn Message Writer Research LinkedIn leads and write personalized messages for any LinkedIn message type. Takes LinkedIn URLs, researches each person using Apify (profile + recent posts), and writes messages based on what it finds. No LinkedIn cookies. No database setup. Just LinkedIn URLs in, personalized messages out. ## When to Auto-Load Load this skill when: - User says "write LinkedIn messages", "LinkedIn outreach", "connect with these leads on LinkedIn", "send LinkedIn messages" - User has a list of LinkedIn URLs and wants to reach out - User wants to write personalized connection requests, InMails, DMs, or comments ## Prerequisites ### Apify API Token Required for researching LinkedIn profiles and posts. Set in `.env`: ``` APIFY_API_TOKEN=your_token_here ``` No LinkedIn cookies, login, or session tokens needed. Apify handles scraping without any LinkedIn credentials. That's it. One env var. Nothing else. --- ## LinkedIn Message Types Reference This skill writes any text-based LinkedIn message type. Each type has different constraints. | Message Type | Who Can Receive | Character Limit | When to Use | |-------------|----------------|-----------------|-------------| | *

What's inside
Steps it walks through
  1. When to Auto-Load
  2. Prerequisites
  3. Apify API Token
  4. LinkedIn Message Types Reference
  5. Key Rules Per Type
  6. Workflow
  7. Phase 0: Intake
  8. Phase 1: Load Leads
  9. Phase 2: Research
  10. Phase 3: Write Messages
  11. Phase 4: Export
  12. Phase 5: Review & Deliver
  13. Cost Estimates
  14. Error Handling
Ships with 1 file
  • skill.meta.json
Commands it runs
curl -X POST "https://api.apify.com/v2/acts/harvestapi~linkedin-profile-scraper/runs?token=$APIFY_API_TOKEN" \
Check run status
curl "https://api.apify.com/v2/acts/harvestapi~linkedin-profile-scraper/runs/{RUN_ID}?token=$APIFY_API_TOKEN"
When status is SUCCEEDED, fetch results
curl "https://api.apify.com/v2/datasets/{DATASET_ID}/items?token=$APIFY_API_TOKEN"
curl -X POST "https://api.apify.com/v2/acts/harvestapi~linkedin-profile-posts/runs?token=$APIFY_API_TOKEN" \
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About this skill
What does the linkedin-message-writer skill do?

Research LinkedIn profiles and write personalized messages for any LinkedIn message type — connection requests, InMails, DMs, message requests, post comments, and comment replies. Takes LinkedIn URLs as input, researches each person (profile data + recent posts via Apify), and generates messages tailored to each lead's background, interests, and recent activity. Exports tool-ready CSVs for Dripify, Expandi, Botdog, PhantomBuster, or generic format. No LinkedIn cookies or login required.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill linkedin-message-writer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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