Cold-Email-Roaster
PROErhalte brutal ehrliches Feedback, warum deine Cold-E-Mails gelöscht werden. KI analysiert Betreffzeilen, Personalisierung, Länge, CTAs und psychologische Trigger, um genau zu identifizieren, was deine Reply-Rates tötet.
Anwendungsbeispiel
Roaste diese Cold Email für mich. Ich hab 100+ davon verschickt mit fast null Antworten:
Betreff: Kurze Frage
Hi [Vorname],
Wir sind eine Marketing-Automation-Plattform, die B2B-Unternehmen beim Skalieren hilft…
So verwendest du diesen Skill
Skill kopieren mit dem Button oben
In deinen KI-Assistenten einfügen (Claude, ChatGPT, etc.)
Deine Eingaben unten ausfüllen (optional) und kopieren, um sie mit deinem Prompt einzufügen
Absenden und mit der KI chatten beginnen
Anpassungsvorschläge
| Beschreibung | Standard | Dein Wert |
|---|---|---|
| Level of feedback harshness: gentle, honest, or savage | honest | |
| Industry context for benchmarks: B2B SaaS, B2C, Recruiting, Agency, Freelance | B2B SaaS | |
| Target role type: decision_maker, influencer, gatekeeper | decision_maker | |
| Email category: cold_outreach, follow_up, reconnect, breakup | cold_outreach | |
| Output depth: quick_score, standard, comprehensive | comprehensive |
How to Use This Skill
For Claude Code Users
Add to your skills directory:
cp -r cold-email-roaster/ ~/.claude/skills/cold-email-roaster/Reference in prompts:
Using the cold-email-roaster skill, analyze this email...
For ChatGPT/Gemini/Copilot Users
Quick Start Examples
Basic roast:
Roast this cold email:
[paste your email]
With tone adjustment:
Give me a savage roast of this email (don't hold back):
[paste your email]
Subject line focus:
Focus on my subject line - give me 5 better alternatives:
Subject: Quick Question
Before/after comparison:
I rewrote my email based on your feedback. Compare:
ORIGINAL: [paste original]
REVISED: [paste revised]
Forschungsquellen
Dieser Skill wurde auf Basis von Forschung aus diesen maßgeblichen Quellen erstellt:
- 5 Mistakes That Kill Cold Email Campaigns Covers deliverability, subject line complexity, fake personalization, excessive follow-ups, list segmentation failures
- Why Your Cold Emails Are Landing in Spam Technical factors: unsubscribe links, sending speed, warmed-up domains, Google's email guidelines
- Cold Email Got Us to $15K MRR: Exact Sequences Real case study showing 6.4% conversion with breakup email psychology, timing, video personalization
- Why 99% of Cold Emails Fail Compares strategy A (generic CTA) vs B (lead magnet first), psychology of why 'quick call' fails
- Top Performing Cold Email Shows F-shape structure, under 90 words ideal, 3rd-grade reading level for maximum engagement
- I Analyzed 64,562 Cold Emails Data-backed insights: say 'you' 10x more than 'I', max 5 sentences, max 70 words for best performance
- Cold Email Copywriting Guide for B2B Lead with challenges, ONE main idea, 5-6 short sentences, casual subject lines, simple language
- Do Short Emails Really Work Better? Psychology: brevity signals respect for time, long emails suggest sender doesn't value recipient's time
- Data Shows Emails Under 100 Words Have Highest Rates Mailchimp/Litmus research: people scan in <60 seconds, >100 words = decreased engagement
- Cold Email Deliverability Checklist Technical: SPF/DKIM/DMARC, avoid tracking pixels on first contact, plain text > HTML for new contacts