--- name: linkedin-dm description: Send personalized LinkedIn direct messages to a list of existing 1st-degree connections via browser automation. Use when the user wants to message LinkedIn connections with AI-personalized outreach — e.g. nurturing leads, following up after events, reconnecting with contacts, or announcing something. Takes a data file (CSV/TSV) or plain list with connection names and companies, asks for outreach context/goal, generates a tailored message per person, and sends each one via browser automation. Handles message compose flow, character limits, and incremental status tracking. ---

LinkedIn DM

Sends personalized LinkedIn messages to existing 1st-degree connections. Each message has:

• A personalized opening unique to each person (based on their profile + relationship to the sender)
• A consistent product/pitch section confirmed once by the user and reused for all messages

---

⚠️ Pre-flight Checklist — Confirm Before Starting

1. Connection List

Ask the user for their data file or list. Must include (or be added):

• Person Name — full name
• Company/Role — their current company or role
• LinkedIn URL — optional but helpful
• Message Status — column for tracking (add if missing)

If only a plain list is provided, offer to convert to TSV.

2. Read Sender's LinkedIn Profile (mandatory)

Before writing any messages, navigate to /in/me/ and read the sender's profile:

• Name and current role/company
• Career history — companies, roles, years
• Education — college, degree, batch years
• Location

Store these facts. They are used to identify relationship hooks with each connection.

3. Confirm the Pitch (once, upfront)

Ask the user: > "What's your pitch / product message? This will be the consistent part of every message. Describe it in 1–2 sentences."

Then draft a polished pitch section (2–4 sentences max, punchy and clear). Show it to the user and get explicit approval. Do not start sending until the pitch is confirmed.

Example prompt: "Here's the pitch I'll use for everyone — confirm or edit: > 'I'm building an AI calling agent — you give it a phone number + context, and it handles the call end-to-end. Think customer follow-ups, research calls, vendor coordination — anything phone-based that eats into your day. Happy to show you a demo if this sounds useful.'"

4. Browser Setup

• Option A — Chrome Browser Relay (profile="chrome"): extension attached to LinkedIn tab (badge ON) — recommended for flagged accounts
• Option B — OpenClaw Isolated Browser (profile="openclaw"): openclaw-managed Chrome, LinkedIn logged in

5. CRM Sheet

Ask the user for a Google Sheet ID/URL to log outreach results. If they don't have one, offer to set one up (create tab + write headers). Confirm gog is authenticated (gog auth list).

If the user skips this, fall back to local linkedin_dm_progress.json but remind them the follow-up skill needs the sheet.

6. Ready Check

Only proceed once:

• ✅ List is ready
• ✅ Sender profile has been read
• ✅ Pitch is confirmed by user
• ✅ Browser is open with LinkedIn logged in
• ✅ Sheet ID confirmed (or sidecar fallback acknowledged)

---

Relationship Analysis (per person)

Before writing a message, compare the connection's profile against the sender's profile to find the strongest hook. Use this hierarchy — pick the highest that applies:

| Priority | Hook | Example opener | |---|---|---| | 1 | Same company (current or past) | "You and I both spent time at CRED…" | | 2 | Same college + overlapping years | "Fellow BITS Goa 2018 batch here…" | | 3 | Same college (different years) | "BITS connect here — saw your journey from…" | | 4 | Same industry/function | "Both been in fintech/product for a while…" | | 5 | Mutual connection | "We're both connected to [Name]…" | | 6 | Their work context (no personal hook) | "Seen what you've built at [Company]…" |

Combine the hook with a line about their current work to show you know what they do.

---

Message Structure

Send as two separate messages per person, back to back:

Message 1 — Personalized opener (unique per person)

[Relationship hook — 1 sentence]
[Acknowledgement of their work/role — 1 sentence]

Target: 100–180 chars. Feels like a genuine reach-out from someone who knows them.

Message 2 — Pitch (identical for everyone, confirmed upfront)

[Product description — 1–2 sentences]
[Relevant use case for their role — 1 sentence]
[Soft CTA — 1 sentence]

Target: 150–250 chars. Clear, punchy, no filler.

Why two messages?

• Opener lands first — they see it before the pitch, feels more personal
• Pitch is clearly a separate thought, not buried at the end
• Mirrors how a human would actually message a connection

Fallback: If sending two messages is technically difficult (e.g. bubble re-focusing issues), use Shift+Enter twice between the opener and pitch to create a paragraph break within a single message.

Do not:

• Open with "I hope you're well" or "I came across your profile"
• Use the same opening for multiple people
• Change the pitch section per person

---

Batch Preview Before Sending

Generate messages for the entire list first. Present them in a table:

| Name | Company | Relationship Hook Used | Message Preview | |---|---|---|---| | Shorya Saini | Razorpay | Same BITS batch | Hey Shorya, BITS Goa 2018 batch… |

Get user approval on the full batch before opening the browser. Allow edits per row.

---

Sending Flow (Per Person)

1. Navigate to /feed/ — mandatory, no exceptions, no skipping
2. Wait 3–5 seconds
3. Search connections at linkedin.com/mynetwork/invite-connect/connections/ — type name in "Search by name"
4. Handle results:

- 1 match → confirm name + headline → click to open profile - Multiple matches → show user, ask which one - 0 matches → mark Not a Connection, skip

1. Read their profile if not already done (for personalisation)
2. Click Message button on their profile
3. Send Message 1 — personalized opener only, send it
4. Send Message 2 — pitch only, send it immediately after
5. Confirm both delivered
6. Log to CRM sheet — append row via gog sheets append with all fields (see CRM Tracking section)

See references/browser-workflow.md for exact browser automation steps.

---

Status Values

| Status | Meaning | |---|---| | Sent | Message delivered this session | | Already Messaged | Recent conversation exists — skip | | Not a Connection | No Message button or not in connections search | | Profile Not Found | Could not identify the right person | | Skipped | User chose to skip | | Failed | Browser error — retry next session |

---

Anti-Detection Rules

• /feed/ before every single profile — non-negotiable
• 3–5 second wait after feed loads
• Max 15–20 messages per session
• Stop immediately if LinkedIn warns about messaging rate — tell the user

---

CRM Tracking — Google Sheet

After each message is sent, append a row to a Google Sheet. This sheet is the source of truth for all outreach — current session and future follow-up.

Sheet Setup

Ask the user for a Google Sheet ID or URL at the start of the session (or offer to create a new one). The sheet should have a tab named Outreach with these columns:

...