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- personalized cold outreach builder
personalized cold outreach builder
Builds evidence-based B2B cold outreach sequences that skip the fluff and focus on credible problem hypotheses.
$5
Works with the AI tools you already use
personalized cold outreach builder
Example session with this skill installed
Write a cold email to the CTO of a Series B fintech company. They just launched a new mobile app, and I want to offer our security penetration testing service. We helped a similar firm save $50k.
- Read your context and instructions
- Compiled the personalized cold outreach
- Generated the document
I have analyzed your request to target the CTO of a Series B fintech firm regarding penetration testing for their new mobile app. The following breakdown evaluates the strength of this outreach based on the evidence provided.
Cold Outreach Strategy Analysis
1. Decision Snapshot
The outreach is highly relevant due to the recent app launch, which creates a natural security window. However, the connection between the "similar firm" case study and this prospect's specific architecture is currently a hypothesis that needs narrowing to increase credibility.
2. Inputs & Assumptions
| Item | Value | Status |
|---|---|---|
| Prospect | CTO, Series B Fintech | Verified |
| Trigger | New mobile app launch | Verified |
| Offer | Security Penetration Testing | Verified |
| Proof | Helped similar firm save $50k | Supported |
| Problem Hypothesis | Regulatory compliance or launch-day vulnerabilities | Hypothesis |
3. Outreach Dimensions
| Dimension | Score | Evidence | Why It Matters |
|---|---|---|---|
| Relevance | 5 | Recent app launch is a high-intent trigger. | Immediate need for security validation. |
| Observation | 4 | Specific mention of the new app release. | Proves you aren't using a bulk list. |
| Credibility | 3 | $50k savings mentioned but lacks context. | CTOs need technical proof, not just cost. |
| CTA Friction | 5 | Low (if focused on a "vulnerability checklist"). | Reduces the barrier to the first reply. |
4. Recommended Outreach Draft
Subject: Security logic for [App Name]
Hi [Name],
Saw the [App Name] launch on ProductHunt yesterday. Specifically noticed your integration with [Partner], which usually introduces unique edge cases for data encryption at rest.
We recently helped [Similar Company] identify three critical vulnerabilities in their Series B audit that saved them roughly $50k in potential remediation costs.
Would you be open to a 5-minute technical breakdown of the common gaps we see in fintech app launches?
Best,
[Your Name]
Next steps
- Verify the specific tech stack of the new app (e.g., React Native vs. Swift) to sharpen the "Observation."
- Quantify the $50k saving—was it in dev hours, fines, or insurance premiums?
- Send this as a manual 1-to-1 email rather than through an automated sequencer.
personalized-cold-outreach-builder.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Cold outreach often fails because it relies on "personalization theater" or generic templates that prospects ignore. Sellers struggle to connect a specific observation to a high-value offer without sounding spammy or making unsupported claims.
What it does
- Analyzes prospect data to identify genuine, evidence-based observations.
- Maps specific business problems to your offer using a structured hypothesis framework.
- Builds outreach sequences that prioritize credibility over fake familiarity.
- Generates an evidence ledger to separate verified facts from assumptions.
- Calculates a friction score for calls to action to ensure they aren't asking for too much too soon.
Why this beats prompting it yourself
Generic prompts result in flowery, "hope you're doing well" fluff that triggers spam filters and mental blocks. This skill enforces an analytical workflow that scores your outreach across eight dimensions, ensuring every claim is backed by a verified evidence status before you hit send.
Use cases
- Writing first-touch cold emails for B2B SaaS prospects.
- Creating personalized LinkedIn connection requests for high-value leads.
- Developing multi-step follow-up sequences for agency services.
- Refining sales scripts based on specific case study facts and proof points.
Known limitations
Cannot access live private datasets, marketplace dashboards, or supplier portals without authorized tool access. Does not provide legal or compliance advice regarding local anti-spam regulations.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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Verified clean 11 days ago
- Passed all security checks, Safe to install