Rechercher

PythonReactSEOPDF
OpenClaw

linkedin-followup

Manage LinkedIn outreach leads from Google Sheets — search by name, read live conversation threads, update status, and send contextual follow-up messages. Use after linkedin-dm to move leads through the pipeline (Sent → Replied → Call Scheduled → Demo Done → Closed).

10madh0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 10madh/linkedin-followup

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

linkedin-followup

Manage ongoing LinkedIn conversations from a central Google Sheet CRM. Read threads, draft context-aware replies, send messages, and keep the sheet updated — all from one skill.


Pre-flight Checklist

Before doing anything:

  1. Sheet ID — Confirm the CRM sheet ID (from linkedin-dm setup). Default: 1eEZDGcr1dIbSC782mNkxvD7pVrF8rOFySWCVZ1RXkhM, tab: Sheet1 (or Outreach if renamed).
  2. gog auth — Run gog auth list. If no tokens: see gog auth setup below.
  3. Browser — Open the openclaw browser profile and confirm LinkedIn is logged in. Navigate to /feed/ first.
  4. Mode — Identify which mode the user wants (see Modes).

Sheet Schema

The CRM sheet uses these columns (A–P):

Col Field Notes
A Date Sent ISO date
B Person Name Full name
C Role / Title
D Company
E LinkedIn URL Profile URL
F Relationship Hook Hook used in opener
G Opener Sent Message 1 text
H Pitch Sent Message 2 text
I Campaign Batch label
J Status Current pipeline stage
K Notes Context and history
L Last Updated ISO timestamp
M Last Reply Date When they last replied
N Last Reply (preview) First 200 chars of their last reply
O Conversation Log Full thread (see format below)
P Next Action What to do next (agent or human)

Status values: Sent → Replied → Call Scheduled → Demo Done → Follow Up Sent → No Response → Closed Won → Closed Lost

Conversation Log format (column O):

[2026-02-13 17:05 SENT] Hey Rishabh, we both had stints at CRED...
[2026-02-13 17:05 SENT] I'm building an AI calling agent...
[2026-02-15 09:30 RECEIVED] Hey! Sounds interesting, tell me more.
[2026-02-15 09:45 SENT] Happy to show you a live demo — are you free Thursday?

If columns M–P don't exist yet, add them first:

gog sheets update <SHEET_ID> "Sheet1!M1:P1...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/10madh/linkedin-followup
Version
—
Commit
7fba061fe13d016d8c411389a7b8df4d4d7a575d
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# linkedin-followup

Manage ongoing LinkedIn conversations from a central Google Sheet CRM. Read threads, draft context-aware replies, send messages, and keep the sheet updated — all from one skill.

---

## Pre-flight Checklist

Before doing anything:

1. **Sheet ID** — Confirm the CRM sheet ID (from `linkedin-dm` setup). Default: `1eEZDGcr1dIbSC782mNkxvD7pVrF8rOFySWCVZ1RXkhM`, tab: `Sheet1` (or `Outreach` if renamed).
2. **gog auth** — Run `gog auth list`. If no tokens: see [gog auth setup](#gog-auth-setup) below.
3. **Browser** — Open the openclaw browser profile and confirm LinkedIn is logged in. Navigate to `/feed/` first.
4. **Mode** — Identify which mode the user wants (see [Modes](#modes)).

---

## Sheet Schema

The CRM sheet uses these columns (A–P):

| Col | Field | Notes |
|---|---|---|
| A | Date Sent | ISO date |
| B | Person Name | Full name |
| C | Role / Title | |
| D | Company | |
| E | LinkedIn URL | Profile URL |
| F | Relationship Hook | Hook used in opener |
| G | Opener Sent | Message 1 text |
| H | Pitch Sent | Message 2 text |
| I | Campaign | Batch label |
| J | Status | Current pipeline stage |
| K | Notes | Context and history |
| L | Last Updated | ISO timestamp |
| M | Last Reply Date | When they last replied |
| N | Last Reply (preview) | First 200 chars of their last reply |
| O | Conversation Log | Full thread (see format below) |
| P | Next Action | What to do next (agent or human) |

**Status values:**
`Sent` → `Replied` → `Call Scheduled` → `Demo Done` → `Follow Up Sent` → `No Response` → `Closed Won` → `Closed Lost`

**Conversation Log format** (column O):
```
[2026-02-13 17:05 SENT] Hey Rishabh, we both had stints at CRED...
[2026-02-13 17:05 SENT] I'm building an AI calling agent...
[2026-02-15 09:30 RECEIVED] Hey! Sounds interesting, tell me more.
[2026-02-15 09:45 SENT] Happy to show you a live demo — are you free Thursday?
```

If columns M–P don't exist yet, add them first:
```bash
gog sheets update <SHEET_ID> "Sheet1!M1:P1...

Skills associés

OpenClaw

x402hub

capncoconut

Register, communicate, and earn on the x402hub AI agent marketplace. Use when an agent needs to register on x402hub, browse or claim bounties, submit deliverables, send messages to other agents via x402 Relay,...

OpenClaw

claw

capevace

Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.

OpenClaw

captchas-openclaw

captchasco

OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.