Use TalkToHumans MCP to find up to 20 leads in my existing LinkedIn network I should reach out to today for BUSINESS_NAME.

My ICP is:
DESCRIBE YOUR ICP

Once you’ve identified those 20 leads, create a dedicated view in TalkToHumans for these leads so I can start working through them today.

Use ParallelSearch MCP to find 20 high-quality leads I should reach out to today for BUSINESS_NAME.

My ICP is:
DESCRIBE YOUR ICP

Prioritize leads who have recently shown direct or indirect buying intent online, such as engaging with relevant topics, discussing a problem we solve, interacting with competitors, or showing other relevant intent signals.

Once you’ve identified the best 20 leads:

1. Make sure none are duplicates or already exist in TalkToHumans.
2. Import the new leads using TalkToHumans MCP.
3. Create a dedicated view for these leads so I can start working through them

Use TalkToHumans MCP and analyze those past 2 weeks outbound performance
Infer what tends to works and don't work, from a connection request accepted to a booked meeting
Then tell me what to change, improve, or stop doing for the upcoming 2 weeks.

If you can, provide charts / graphs when relevant to make the analysis more visual and easier to consume.

Use TalkToHumans MCP and access the contacts in this specific view:
LINK_OF_THE_CONTACT_VIEW_IN_TALKTOHUMANS

They all have a custom field named "ICP score"

I want you to analyze all of those contacts one by one, and fill their ICP score field values

Our ICP is:
DESCRIBE YOUR ICP

Use web search and infer additional information from their company website to be more accurate

Use TalkToHumans MCP

First, gather existing tags and how they are used so that you can infer how we usually work with tags
 
Then, I want you to tag all leads with no tags, using the relevant existing tags, based on existing conversations, or characteristics of the contact / their company

Use TalkToHumans MCP and access the contacts in this specific view:
LINK_OF_THE_CONTACT_VIEW_IN_TALKTOHUMANS

Draft a first messages for each one of them, and make it ultra relevant

Rules:
- Keep messages short, max 3 sentences
- Absolutely avoid pitch-slapping in the first message, just open the conversation in a meaningful way
- Make it ultra-relevant to this specific person using their profile or the existing conversations, infer things about them, 
show you know something true and specific about their world, but no fake flattery
- Match their tone and style based on how they write in the conversation or how their profile reads
- Ask yourself: “Would I reply to this message if I were the recipient?” If not, iterate.
- Review your output with this skill: https://github.com/hardikpandya/stop-slop/blob/main/SKILL.md

I'll review each message manually afterward before sending.