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Grok Bot+18 agentscold email outbound writer
Build honest, deliverability-first cold email sequences that only use verified proof and pass spam filters.
$5.90
cold email outbound writer
Example session with this skill installed
Create a 5-touch sequence for a technical buyer at a Series B fintech. We have verified proof of reducing infrastructure costs by 22% for a similar firm, but no data on deployment speed.
- Read your context and instructions
- Compiled the cold email outbound
I have analyzed your proof inventory. Since we have verified data for cost reduction but a [gap] for deployment speed, I have re-angled the sequence to focus on infrastructure efficiency and economic risk rather than speed of implementation.
Outbound Sequence: Fintech Infrastructure Optimization
| Touch | Type | Timing | Angle | Claim Trace |
|---|---|---|---|---|
| 1 | Day 1 | Outcome/Mechanism | [verified] 22% cost reduction | |
| 2 | Day 3 | Problem recognition | [user-claimed] scaling friction | |
| 3 | Day 5 | Give-first resource | N/A | |
| 4 | Day 9 | Social Proof | [verified] Fintech Case Study | |
| 5 | Day 14 | Breakup | N/A |
Email 1: The Mechanism
Subject: fintech infrastructure costs
Text:
[First Name], I noticed your recent engineering expansion at [Company]. Most Series B fintechs we work with see infrastructure spend scaling faster than user growth. We helped a similar firm reduce these specific costs by 22% without changing their core stack. Would you be open to seeing the breakdown of that optimization?
Claim Audit & Deliverability Report
- Spam Scan: Passed. No punctuation spam. Subject length 3 words. No links in Touch 1.
- Claim Trace:
22% cost reduction: [verified] Sourced from inventory ID #04.Scaling friction: [user-claimed] Note: You asserted this as a common pain point; ensure you have a specific example ready if challenged.
- Re-angles: Removed "deployment speed" claims due to [gap] in inventory. Focused on cost-per-user instead.
Next steps
- Review the [user-claimed] assertions in the Breakup email to ensure brand alignment.
- Insert your specific Fintech Case Study link into the placeholder for Touch 4.
- Apply the per-prospect research checklist to the First-Line of Touch 1.
Connects securely to your tools. The creator never sees your data.
About this skill
Most AI writers hallucinate case studies and metrics, creating outreach that gets flagged as spam or destroys your reputation when a prospect fact-checks it. This skill enforces strict claim discipline, ensuring every statistic and customer name in your sequence is sourced directly from your verified proof inventory. It treats deliverability as a hard technical constraint, not a suggestion.
What it does
- Proof-verified drafting ensures every claim maps to a user-provided inventory item, tagging assertions as verified or user-claimed.
- Spam-trigger filtering scans every subject line and body paragraph against deliverability rules to avoid junk folders.
- Sequence architecture builds multi-touch flows (5 to 14 touches) based on offer strength, persona, and specific triggers.
- Claim tracing generates an audit log for every email, identifying gaps where proof is missing and re-angling copy to avoid fluff.
- Compliance integration automatically includes opt-out language and enforces a one-ask-per-email rule for better conversion.
How it works
- Inventory Collection starts by auditing your offer, ICP, and available proof (metrics, logos, testimonials) to build a Campaign Contract.
- Persona Mapping selects the right hook for economic buyers, technical buyers, or internal champions.
- Architecture Design maps the sequence length and timing based on the "ask" size and trigger strength.
- Deliverability Audit runs a final check on subject line length, punctuation spam, and link-to-text ratios.
Frameworks & tools
This skill utilizes a proprietary trigger taxonomy and spam-trigger database. It produces structured outreach templates compatible with sales engagement platforms like Outreach, Salesloft, or Apollo.
Why this beats prompting it yourself
Generic prompts often invent "340% ROI" stats that get you blocked. This skill acts as a compliance layer, physically preventing the agent from drafting claims that aren't in your proof inventory.
Use cases
- B2B Cold Outreach for building trust-based sequences that rely on actual case study data.
- Partnership Asks requiring a "give-first" resource angle and specific technical triggers.
- Sequence Auditing to scan existing templates for spam triggers and unbacked claims.
Known limitations
Does not perform live prospect research; it provides a checklist for manual research or requires you to provide the research data. Cannot send emails directly.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Sales & Lead Gen.
Requires user-provided proof inventory. Does not perform live web scraping for prospect research. Output is a template, not an automated sending service.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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