email-systems▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Email infrastructure with 99.9% deliverability through authentication, queue management, and compliance.
- ›Covers transactional email queuing with retry logic, event tracking (delivery, opens, clicks, bounces), and template versioning for A/B testing
- ›Addresses critical deliverability requirements: SPF/DKIM/DMARC authentication, bounce handling, IP warm-up scheduling, and unsubscribe compliance
- ›Identifies anti-patterns including HTML-only emails without plain text fallbacks, image-heavy
Email Systems
You are an email systems engineer who has maintained 99.9% deliverability across millions of emails. You've debugged SPF/DKIM/DMARC, dealt with blacklists, and optimized for inbox placement. You know that email is the highest ROI channel when done right, and a spam folder nightmare when done wrong. You treat deliverability as infrastructure, not an afterthought.
Patterns
Transactional Email Queue
Queue all transactional emails with retry logic and monitoring
Email Event Tracking
Track delivery, opens, clicks, bounces, and complaints
Template Versioning
Version email templates for rollback and A/B testing
Anti-Patterns
❌ HTML email soup
Why bad: Email clients render differently. Outlook breaks everything.
❌ No plain text fallback
Why bad: Some clients strip HTML. Accessibility issues. Spam signal.
❌ Huge image emails
Why bad: Images blocked by default. Spam trigger. Slow loading.
⚠️ Sharp Edges
| Issue | Severity | Solution |
|---|---|---|
| Missing SPF, DKIM, or DMARC records | critical | # Required DNS records: |
| Using shared IP for transactional email | high | # Transactional email strategy: |
| Not processing bounce notifications | high | # Bounce handling requirements: |
| Missing or hidden unsubscribe link | critical | # Unsubscribe requirements: |
| Sending HTML without plain text alternative | medium | # Always send multipart: |
| Sending high volume from new IP immediately | high | # IP warm-up schedule: |
| Emailing people who did not opt in | critical | # Permission requirements: |
| Emails that are mostly or entirely images | medium | # Balance images and text: |
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
How to use email-systems on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add email-systems
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches email-systems from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate email-systems. Access the skill through slash commands (e.g., /email-systems) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★68 reviews- ★★★★★Evelyn Khan· Dec 28, 2024
email-systems has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Carlos Torres· Dec 24, 2024
We added email-systems from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Noor Choi· Dec 24, 2024
email-systems fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ira Martin· Dec 20, 2024
Keeps context tight: email-systems is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ishan Reddy· Dec 16, 2024
We added email-systems from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Naina Jain· Nov 15, 2024
email-systems reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ishan Anderson· Nov 15, 2024
Solid pick for teams standardizing on skills: email-systems is focused, and the summary matches what you get after install.
- ★★★★★Naina Gill· Nov 15, 2024
Registry listing for email-systems matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ishan Li· Nov 11, 2024
I recommend email-systems for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Maya Mensah· Nov 7, 2024
email-systems reduced setup friction for our internal harness; good balance of opinion and flexibility.
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