Email Sequence Generation (Market Emails)
Generate complete, ready-to-send email sequences inside Claude Code — subject lines, body copy, cadence, segmentation, and compliance checklists, all calibrated to industry benchmarks.
Pure prompt-based skill with no scripts or code; narrow permission surface and mostly transparent data flow (URL fetch, writes EMAIL-SEQUENCES.md). Deducted for: URL fetching without an explicit user-confirmation step, no rollback guidance, unverified publisher identity, and attribution resting solely on the repository.
Instructions are self-consistent with clear trigger, phased structure and output format; can fall back to clarifying questions. Deducted for: no tests, no abnormal-input handling, no failure-feedback guidance if URL fetching fails — plausible happy path with thin edge handling (static cap 10).
Trigger (/market emails <topic/url>), seven sequence types with use cases, and I/O definitions are clear; cross-skill integration conditions explicit. Deducted for: no declared non-fit boundaries, no Chinese-language support, send-time and compliance guidance skewed to US/EU/Canada markets, limited fit for mainland-China users.
Well-layered document (phases-frameworks-templates-output), clear MIT license, install/uninstall paths exist. Deducted for: no per-skill version or changelog, no FAQ or known-limitations section, unclear maintenance responsibility and update path, uncited benchmark data.
Output template is complete and paste-ready for an ESP, with compliance checklist and benchmarks; claimed marginal value is concrete. Deducted for: generation quality unverifiable in static review, industry benchmark numbers unsourced, expected open/click-rate promises potentially misleading (static cap 7).
Only author-authored methodology claims; no tests, no third-party execution evidence, no cross-source corroboration; benchmark figures not traceable (static cap 5).
- Static review only; actual quality of generated emails is unverified.
- Industry benchmark figures (open/click rates) are unsourced and should not be treated as reliable promises.
- Compliance guidance covers CAN-SPAM/GDPR/CASL only; other jurisdictions require separate legal review.
- URL fetching has no explicit confirmation step; be aware of data flow when targeting third-party sites.
- Publisher identity unverified; maintenance and update path unclear.
What does this skill do, and when should you use it?
This is a sub-skill of the AI Marketing Suite for Claude Code, triggered by /market emails <topic/url>. It first gathers business context (by fetching a site or asking questions), then recommends at least two of seven sequence types: welcome, nurture, launch, re-engagement, onboarding, cart abandonment, and cold outreach. Every email follows proven frameworks like 'one email, one job,' with subject-line formulas, send-timing tables, A/B testing priorities, and industry open/click benchmarks. Output lands in a paste-ready EMAIL-SEQUENCES.md file plus a compliance checklist covering CAN-SPAM, GDPR, and CASL.
Reads a topic or fetches a URL to understand the business, audience, pricing, and voice; selects at least two sequence types from seven; writes full email bodies with subject-line A/B variants and preview text using frameworks (value-before-ask, story-driven, problem-agitate-solution); produces day-by-day cadence tables, segmentation strategies, prioritized A/B test plans, and per-industry open/click/conversion benchmarks; writes everything to EMAIL-SEQUENCES.md and prints a terminal summary. It cross-references sibling artifacts (BRAND-VOICE.md, FUNNEL-ANALYSIS.md, COPY-SUGGESTIONS.md, MARKETING-AUDIT.md) when they exist to stay on-brand and funnel-aligned.
- An indie founder launching a product: an 8-12 email launch sequence with open-cart, reminder, and close-cart cadence
- An e-commerce seller recovering abandoned carts: 1-hour/24-hour/72-hour reminder emails with objection handling and timed discounts
- A B2B founder doing cold outreach: a 3-5 email sequence with follow-ups and breakup templates
- A SaaS team activating trial users: a 5-7 email onboarding sequence to drive activation and cut churn
- An agency delivering to clients: a full email marketing plan with benchmark metrics generated from the client's URL
What are this skill's strengths and limitations?
- Covers seven sequence types, each with specific email counts, day-by-day cadence, and full templates
- Includes actionable detail: subject-line formulas, send-time benchmarks, prioritized A/B testing order
- Built-in CAN-SPAM, GDPR, and CASL compliance checklist required in every output
- Cross-references sibling skills (brand voice, funnel, copy) so outputs stay consistent across the suite
- It is a prompt-instruction file only — no scripts, no test suite, no automated verification; output quality depends entirely on model execution
- Industry benchmarks are generalized numbers with no cited sources or methodology
- Depends on the suite's /market command routing; using it outside Claude Code requires reworking the trigger
- Does not integrate with any email service provider — pasting into an ESP and setting up automation is manual
How do you install this skill?
Install the whole suite: curl -fsSL https://raw.githubusercontent.com/zubair-trabzada/ai-marketing-claude/main/install.sh | bash, or git clone the repo and run ./install.sh. This skill lives at skills/market-emails/. The repo does not document standalone installation of a single sub-skill.
How do you use this skill?
In Claude Code, run /market emails <topic/url>. With a URL it fetches the site to understand the business; with a topic it may ask clarifying questions. Optional PDF report support across the suite requires pip install reportlab (not used by this email skill itself).