Skill

LinkedIn outreach through Omentir

Research LinkedIn prospects, score fit and draft messages through a connected Omentir workspace, with sending separately requested.


50
Spark score
out of 100
Updated 17 days ago
Source checked Oct 7, 2026
Version 19.0.1

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Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-omentir-linkedin-outreach | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

LinkedIn outreach through Omentir

Researches LinkedIn prospects, scores fit and drafts messages through Omentir MCP. It checks campaign state while keeping sends, enrollment and replies behind an explicit session request. Use it with a connected Omentir workspace for prospect research, drafts and campaign checks. It does not sign into LinkedIn or drive its browser interface.

What it does

This skill uses a connected Omentir workspace to find LinkedIn prospects, score their fit, draft messages and inspect campaigns. Omentir holds the LinkedIn connection and daily send limits. The default workflow is research and drafts only; sending, enrollment and replies require the user's request in the current session.

Initial calls read context, the product profile, connected LinkedIn accounts and existing agents. If multiple companies exist, the workflow lists workspaces and switches only after selection. An empty workspace or missing LinkedIn connection stops the process so setup can be completed inside Omentir. The skill does not guess an ideal customer profile from a homepage.

When to use - and when NOT to

Use it to research prospects matching a product, score leads already in Omentir, draft first messages or check campaign agents, scheduled sends, replies and statistics. It works through Omentir MCP tools rather than browser control. It never asks for a LinkedIn password, passkey, two-factor code or CAPTCHA takeover.

The skill cannot create an Omentir account, change billing, connect LinkedIn, create or delete a workspace, or mint API keys. Installing the skill alone does not connect the MCP server. A configured workspace and an existing LinkedIn connection are prerequisites.

Inputs and outputs

Classic prospect discovery uses a prompt plus titles, industries, locations and keywords. The workspace can provide proposed configuration through omentir_draft_agent_setup; the configuration is shown for approval before creation. Steal Customers mode uses competitor or founder URLs with the workspace already set. Outreach-only mode accepts CSV leads and optional custom sequence steps.

Discovery is asynchronous. An empty result immediately after creation is not automatically a failure; activity is checked while discovery runs. Fit scores use evidence specific to each lead, and generic notes that could describe multiple buyers are rewritten. Outputs include prospect research, evidence-based fit notes, first-message drafts and campaign status.

Integrations

Omentir exposes a streamable HTTP MCP endpoint. OAuth 2.1 sign-in or a bearer API key can authenticate the connection. Claude Code can connect to the endpoint with this command:

claude mcp add --transport http omentir https://omentir.com/api/agent/v1/mcp

The documented hosted prerequisite is Pro at $49/month; self-hosting is free under MIT. The workspace must already have LinkedIn connected.

When sending is requested, Omentir's planner owns timing unless immediate execution is requested. Scheduled actions provide committed send times, and remaining invite and message allowances come from the context call. A single lead's outreach can be stopped. Replies use either a captured lead thread or a live inbox chat; chat replies support attachments.

For Grok Bot, installed plugins are account-wide and the Omentir plugin is attached with @omentir. Its description retains the research-and-draft-only stop rule, including no sending, enrollment or LinkedIn sign-in.

License

The entry is imported from Omentir's official linkedin-outreach skill under MIT, with catalog overview, usage, prerequisites, examples and limitations added around the upstream instructions.

Source README

Omentir is an open-source AI sales workspace for LinkedIn. This skill tells the agent how to use the Omentir MCP server to find and score prospects, draft messages, and check campaigns. It defaults to research and drafts only. It never sends unless the user asks, and it never signs into LinkedIn.

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