# Gtm Pipeline:outreach

> Execute LinkedIn outreach — send connection requests and personalized messages/InMails to a contact list via PhantomBuster, one profile at a time on a timed loop. Use after people-enrichment when contacts are ready for outreach. Also triggers on "linkedin outreach", "send connection requests", "connect with leads on linkedin", "send linkedin messages", "send inmails", "start outreach", "launch ou…

- **Type:** Skill
- **Install:** `agentstack add skill-keinsaasforever-gtm-pipeline-skills-gtm-outreach`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [keinsaasforever](https://agentstack.voostack.com/s/keinsaasforever)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [keinsaasforever](https://github.com/keinsaasforever)
- **Source:** https://github.com/keinsaasforever/gtm-pipeline-skills/tree/main/skills/gtm-outreach
- **Website:** https://www.keinsaas.com/de/research-agent

## Install

```sh
agentstack add skill-keinsaasforever-gtm-pipeline-skills-gtm-outreach
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# LinkedIn Outreach

Execute LinkedIn connection requests and personalized messages/InMails via PhantomBuster agents.

**Read these files before executing:**
- `~/.claude/skills/gtm-pipeline/_shared/conventions.md`
- `~/.claude/skills/gtm-pipeline/_shared/phantombuster.md`

---

## When to Use

- Contacts are enriched and ready for LinkedIn outreach
- You want to send connection requests and/or InMails from a CSV
- You want to put outreach on a paced loop (every N minutes)

## Inputs

| Input | Required | Source |
|-------|----------|--------|
| Contacts CSV | Yes | People enrichment output or user-provided |
| `linkedin_profile_url` column | Yes | Must be present |
| `linkedinMessage` column | For messaging | Pre-generated by n8n message_agent or manually written |
| `inmailSubject` column | For InMail | Pre-generated or user-provided |

If `linkedinMessage` / `inmailSubject` are missing, ask the user whether to generate them or use a single shared template message.

---

## Agents

| Phase | Phantom Script | Local Config Key |
|-------|---------------|-----------------|
| 1 — Connection request | LinkedIn Auto Connect | `PB_AGENT_CONNECT` |
| 2 — Message / InMail | Sales Navigator Message Sender | `PB_AGENT_MESSAGE` |

Agent IDs are account-specific. Resolve via `_shared/local.md` (preferred) or PhantomBuster MCP (`PHANTOMBUSTER_GET_AGENTS_FETCH_ALL` → match by script name). See `_shared/phantombuster.md`.

---

## Execution

### Step 1: Inspect the CSV

Read 3–5 rows. Confirm:
- `linkedin_profile_url` present and not empty
- `linkedinMessage` and `inmailSubject` present if Phase 2 is needed
- Total row count
- Ask the user: run Phase 1 (connect), Phase 2 (message), or both?

### Step 2: Generate scripts

Generate one Python script per phase, saved in the same directory as the CSV. Follow the script template in `_shared/phantombuster.md` exactly.

**Script names:**
- `pb_connect.py` — connection requests
- `pb_message.py` — messages / InMails

**State files** (auto-created alongside scripts):
- `pb_connect_state.json`
- `pb_message_state.json`

Use the argument templates from `_shared/phantombuster.md`. Do not save to the agent config permanently — always use the one-off `argument` override in the launch body.

### Step 3: Test run each script

```bash
python3 "/pb_connect.py"
python3 "/pb_message.py"
```

Show full agent output. Look for:
- `✅ Connected successfully as [Your LinkedIn Name]` — auth working
- Profile name in output — correct profile targeted
- `✅ 1 profile has been processed` — success

If the output shows a type error (`numberOfAddsPerLaunch => is the wrong type`), the argument JSON has string values where booleans/ints are needed. Fix by ensuring `json.dumps()` is used on the argument dict.

### Step 4: Suggest loop commands

After successful test runs, show the user:

```
✅ Both scripts tested successfully.

To process one profile every 20 minutes (10am–6pm Berlin time):

  Phase 1 (connect):
  /loop 20m python3 "/pb_connect.py"

  Phase 2 (message) — run after connections are accepted (typically 1–3 days):
  /loop 20m python3 "/pb_message.py"

Or run either script again immediately:
  python3 "/pb_connect.py"

State is tracked in pb_connect_state.json and pb_message_state.json —
each script picks up where it left off. Scripts exit cleanly when all profiles are done.
```

---

## Rate Limit Guidance

| Agent | Safe Rate | Notes |
|-------|-----------|-------|
| LinkedIn Auto Connect | 1 per run, max ~14/day | 100/week LinkedIn hard limit. Pacing: every 20–30 min |
| Sales Navigator Message Sender | 1–3 per run | InMail credits apply for 3rd-degree / non-connections |

**Example throughput:** 43 contacts × 1/run × 20 min interval = ~24 runs/day (10am–6pm) → all connected in ~2 days.

---

## Output

Append to `run_log.md` per conventions:

```
## Run Summary — outreach — {timestamp}
- Phase: {connect | message | both}
- Records in CSV: {total}
- Already processed: {done_count}
- Remaining: {total - done_count}
- Scripts: {paths}
- Loop commands: shown above
```

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [keinsaasforever](https://github.com/keinsaasforever)
- **Source:** [keinsaasforever/gtm-pipeline-skills](https://github.com/keinsaasforever/gtm-pipeline-skills)
- **License:** MIT
- **Homepage:** https://www.keinsaas.com/de/research-agent

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-keinsaasforever-gtm-pipeline-skills-gtm-outreach
- Seller: https://agentstack.voostack.com/s/keinsaasforever
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.