Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add w95/awesome-claude-corporate-skills --skill email-marketinggit clone --depth 1 https://github.com/w95/awesome-claude-corporate-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/email-marketing)<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/email-marketing"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/email-marketing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/email-marketing"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/email-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.02372 |
| Opus 5 | $0.00020 | $0.01186 |
| Sonnet 5 | $0.00008 | $0.00474 |
| Haiku 4.5 | $0.00004 | $0.00237 |
Grade A, and why
email-marketing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email Marketing
Overview
The Email Marketing skill enables marketers to design, execute, and optimize email campaigns that drive engagement and conversions. It covers strategy, segmentation, creative development, and performance analysis for various email types.
When to Use This Skill
- Building new email campaigns or sequences
- Optimizing email performance and engagement rates
- Creating segmentation strategies for personalization
- Developing email nurture sequences
- Planning email calendar and sending cadence
- Analyzing campaign results and identifying improvements
Email Campaign Framework
Email Types and Use Cases
Transactional Emails (System-triggered)
- Confirmations: Order, signup, password reset
- Notifications: Shipment, delivery, alerts
- Receipts: Purchase, invoice, download
- Goal: Ensure delivery and clarity
- Engagement opportunity: Cross-sell, upsell hints
Promotional Emails (Direct sales focus)
- Product launches: New features, products
- Sales promotions: Limited-time offers, discounts
- Flash sales: Urgency-driven campaigns
- Goal: Drive immediate conversions
- Best frequency: 1-2x per week max
Newsletter Emails (Content + offers)
- Weekly/monthly roundups: Curated content
- Educational series: Thought leadership
- Company updates: News, milestones, insights
- Goal: Build relationships, establish authority
- Best frequency: Weekly or bi-weekly
Nurture Sequences (Multi-email progression)
- Welcome series: 5-7 emails over 2 weeks
- Product education: Feature deep-dives
- Objection handling: Address customer concerns
- Goal: Move prospects through funnel
- Typical duration: 2-8 weeks
Re-engagement Campaigns (Inactive user focus)
- Win-back emails: Special offer to re-engage
- Survey/feedback: Understand disengagement
- One-final-email: Last chance to retain
- Goal: Reactivate or remove inactive users
- Frequency: Quarterly or as-needed
Email Segmentation Strategy
Behavioral Segmentation (Action-based)
Segment: "High Engagement Users"
- Criteria: Opened 3+ emails in last 30 days
- Send frequency: 2x per week
- Content: Advanced features, premium content
- Goal: Maximize engagement and upgrades
Segment: "Product Explorers"
- Criteria: Visited pricing/demo page
- Send frequency: 1x per week
- Content: Product education, case studies
- Goal: Drive conversion to paid plan
Segment: "At-Risk Users"
- Criteria: No opens in 60+ days
- Send frequency: 1x per week (re-engagement series)
- Content: Value prop reminder, special offer
- Goal: Reactivate or collect feedback
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 286 lines · 40 tokens per session scan A 94540480a7ce
email-marketing is a skill published in the GitHub repository w95/awesome-claude-corporate-skills (198 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 2,372 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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