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Suede Emails

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JasonColapietro
suede-emails

Use when asked "build a welcome email sequence" or to design nurture, onboarding, win-back, post-purchase or trigger-based lifecycle email flows. Suede AI returns entry and exit criteria, timing, exact copy, sender-rule checks and a measurement plan. NOT FOR: cold outbound (use suede-cold-email), SMS (use suede-sms), in-product onboarding (use suede-onboarding), or broader lifecycle operations (use suede-revops).

Overview

PublisherJasonColapietro
Repositorysuede-creator-skills
Skill namesuede-emails
Stars
126
Forks
12
Bundled files
8
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JasonColapietro on GitHub. Read the source before you install it.

Installation

Install the Suede Emails AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-emails
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JasonColapietro/suede-creator-skills.git /tmp/suede-creator-skills
mkdir -p .claude/skills
cp -r /tmp/suede-creator-skills/skills/suede-emails .claude/skills/suede-emails
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Suede Emails in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Suede Emails on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Suede Emails is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Suede AI Lifecycle Email Skills

Design lifecycle email as a consent-aware system of triggers, message roles, pacing, and measurable next actions. Create sequences that move a known audience toward value without inventing intent, exhausting the list, or confusing lifecycle messaging with cold outreach.

Compatibility

Any agent with product, consent and lifecycle context. Current deliverability checks need web access; producing a handoff does not require an email-service integration.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before creating a sequence, understand:

  1. Sequence Type

    • Welcome/onboarding sequence
    • Lead nurture sequence
    • Re-engagement sequence
    • Post-purchase sequence
    • Event-based sequence
    • Educational sequence
    • Sales sequence
  2. Audience Context

    • Who are they?
    • What triggered them into this sequence?
    • What do they already know/believe?
    • What's their current relationship with you?
    • What other emails are they already receiving?
    • What's the current email performance to beat?
  3. Goals

    • Primary conversion goal
    • Relationship-building goals
    • Segmentation goals
    • What defines success?

Core Principle

One email, one job: a single purpose and a single primary CTA per email. Everything downstream, sequence length, roles, copy, follows from that.


Email Sequence Strategy

Sequence lengths are set per type in Sequence Types Overview below; use those numbers, not a generic range. Adjust for sales-cycle length, product complexity, and relationship stage.

Timing/Delays

  • Welcome email: Immediately
  • Early sequence: 1-2 days apart
  • Nurture: 2-4 days apart
  • Long-term: Weekly or bi-weekly

Consider:

  • B2B: Avoid weekends
  • B2C: Test weekends
  • Time zones: Send at local time

Subject Line Strategy

  • Clear > Clever
  • Specific > Vague
  • Benefit or curiosity-driven
  • 40-60 characters, front-loading the words that matter for mobile truncation
  • Test emoji (they're polarizing)
  • Judge subject tests on clicks or conversions, not opens: Apple Mail Privacy Protection preloads images and inflates open rates

Patterns that work:

  • Question: "Still struggling with X?"
  • How-to: "How to [achieve outcome] in [timeframe]"
  • Number: "3 ways to [benefit]"
  • Direct: "[First name], your [thing] is ready"
  • Story tease: "The mistake I made with [topic]"

Preview Text

  • Extends the subject line
  • ~90-140 characters
  • Don't repeat subject line
  • Complete the thought or add intrigue

Sequence Types Overview

Welcome Sequence (Post-Signup)

Length: 5-7 emails over 12-14 days Goal: Activate, build trust, convert

Key emails:

  1. Welcome + deliver promised value (immediate)
  2. Quick win (day 1-2)
  3. Story/Why (day 3-4)
  4. Social proof (day 5-6)
  5. Overcome objection (day 7-8)
  6. Core feature highlight (day 9-11)
  7. Conversion (day 12-14)

Lead Nurture Sequence (Pre-Sale)

Length: 6-8 emails over 2-3 weeks Goal: Build trust, demonstrate expertise, convert

Key emails:

  1. Deliver lead magnet + intro (immediate)
  2. Expand on topic (day 2-3)
  3. Problem deep-dive (day 4-5)
  4. Solution framework (day 6-8)
  5. Case study (day 9-11)
  6. Differentiation (day 12-14)
  7. Objection handler (day 15-18)
  8. Direct offer (day 19-21)

Re-Engagement Sequence

Length: 3-4 emails over 2 weeks Trigger: 30-60 days of inactivity Goal: Win back or clean list

Key emails:

  1. Check-in (genuine concern)
  2. Value reminder (what's new)
  3. Incentive (special offer)
  4. Last chance (stay or unsubscribe)

Onboarding Sequence (Product Users)

Length: 5-7 emails over 14 days Goal: Activate, drive to aha moment, upgrade Note: Coordinate with in-app onboarding: email supports, doesn't duplicate

Key emails:

  1. Welcome + first step (immediate)
  2. Getting started help (day 1)
  3. Feature highlight (day 2-3)
  4. Success story (day 4-5)
  5. Check-in (day 7)
  6. Advanced tip (day 10-12)
  7. Upgrade/expand (day 14+)

For detailed templates: See references/sequence-templates.md


Email Types by Category

Six categories: Onboarding · Retention · Billing · Usage · Win-Back · Campaigns.

Read references/email-types.md when you need to pick or design an individual email type: it carries the trigger, timing, role, and copy pattern for each one, plus an email audit checklist.


Email Copy Guidelines

Structure

  1. Hook: First line grabs attention
  2. Context: Why this matters to them
  3. Value: The useful content
  4. CTA: What to do next
  5. Sign-off: Human, warm close

Formatting

  • Short paragraphs (1-3 sentences)
  • White space between sections
  • Bullet points for scanability
  • Bold for emphasis (sparingly)
  • Mobile-first (most read on phone)

Tone

  • Conversational, not formal
  • First-person (I/we) and second-person (you)
  • Active voice
  • Read it out loud: does it sound human?

Never ship these strings. They are the lifecycle-email defaults a model reaches for unprompted, and every one of them is a slot where a specific sentence should be:

  • "We're thrilled to have you aboard!" / "We're excited to have you!"
  • "Welcome to the family!" / "You're in good company"
  • "Here's what you can do next" / "Let's get you started"
  • "Don't miss out" / "Act now" / "Limited time only"
  • "Quick question" / "Just checking in" / "Just following up"
  • "We noticed you haven't..." / "We miss you!"
  • "Ready to take your [X] to the next level?"
  • "Unlock the full power of..." / "Supercharge your..."
  • "As a valued customer" / "We value your feedback"

The replacement is always the same shape: name the specific thing this reader did, or the specific thing they get next. If a sentence would be true for any recipient of any product, it is one of these in disguise.

Length

  • 50-125 words for transactional
  • 150-300 words for educational
  • 300-500 words for story-driven

CTA Guidelines

  • Buttons for primary actions
  • Links for secondary actions
  • One clear primary CTA per email
  • Button text: Action + outcome

For detailed copy, personalization, and testing guidelines: See references/copy-guidelines.md


Output Format

Sequence Overview

Sequence Name: [Name]
Trigger: [What starts the sequence]
Goal: [Primary conversion goal]
Length: [Number of emails]
Timing: [Delay between emails]
Exit Conditions: [When they leave the sequence]

For Each Email

Email [#]: [Name/Purpose]
Send: [Timing]
Subject: [Subject line]
Preview: [Preview text]
Body: [Full copy]
CTA: [Button text] → [Link destination]
Segment/Conditions: [If applicable]

Metrics Plan

Per email: open rate, click rate, unsubscribe rate
Per sequence: completion rate, primary-conversion rate, revenue or signups attributed
Baseline: [the user's current numbers for this audience, or "none supplied"]
Review point: [when to read results and what number would trigger a rewrite]

Pre-delivery self-check

Run this on the drafted sequence before presenting it. Each box checks a rule this skill already states, against the copy you just wrote.

  • Every email has exactly one primary CTA
  • Every subject line is 40-60 characters: count them, do not estimate
  • No preview text repeats its subject line
  • Every body is inside the word band for its type (50-125 transactional / 150-300 educational / 300-500 story-driven)
  • Exit conditions are specified for the sequence
  • No string from the Tone blocklist appears anywhere in the copy
  • The consent and suppression assumption is stated explicitly rather than assumed: say which list, which opt-in, and what excludes a contact
  • Every marketing email is marked for one-click unsubscribe (RFC 8058 headers) and the plan says unsubscribes are honored within 48 hours
  • The re-engagement or win-back flow ends by suppressing contacts who never re-engage

Any box that fails means fix it before presenting. Do not deliver the sequence with the failure noted as a caveat.


Implementation Hand-off

Choose the provider only after reading the user's installed tools and live account state. Customer.io, Mailchimp, Resend, SendGrid, Kit, and similar services may support parts of the workflow, but this public Suede skill does not assume that any provider, connector, account, or permission is available.

Before implementation, return:

  1. The required trigger, audience, fields, suppression rules, and exit criteria
  2. The provider-neutral sequence and event contract
  3. The exact account or integration that must be inspected
  4. The deliverability checklist from references/deliverability.md: SPF, DKIM, DMARC alignment, one-click unsubscribe, complaint-rate monitoring below 0.1%, and separated transactional and marketing streams. Gmail began rejecting non-compliant bulk mail more aggressively in November 2025, and Microsoft has enforced its high-volume rules since May 2025.
  5. A preview-and-approval checkpoint before any live change or send

Boundaries

  • Do not send, schedule, import contacts, alter automations, or change suppression lists without explicit authorization.
  • Do not invent consent, deliverability, attribution, audience, or performance data.
  • Do not promise inbox placement or revenue; separate observed results from projections.
  • Do not decide legal compliance, transactional classification, or contact eligibility on the user's behalf.

Routing

  • Use suede-lead-magnets for the asset that feeds a nurture sequence.
  • Use suede-churn-prevention for cancellation, save, and dunning strategy.
  • Use suede-onboarding for in-product activation and suede-copy for destination-page copy.
  • Use suede-ab-testing for sequence experiments and suede-revops for lifecycle-stage orchestration.
  • Use suede-sms when the same lifecycle program should also reach people by text: SMS layers on top of email, it does not replace it.
  • Use suede-deslop before any email in the sequence goes to a real recipient.
  • From those skills, route lifecycle sequence design, cadence, and message roles back to suede-emails.

Worked contract

Worked contract gives a bounded input, expected output and failure check for this workflow.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Suede Emails AI skill do?

Use when asked "build a welcome email sequence" or to design nurture, onboarding, win-back, post-purchase or trigger-based lifecycle email flows. Suede AI returns entry and exit criteria, timing, exact copy, sender-rule checks and a measurement plan. NOT FOR: cold outbound (use suede-cold-email), SMS (use suede-sms), in-product onboarding (use suede-onboarding), or broader lifecycle operations (use suede-revops).

Why use Suede Emails on TypingMind?

Because you install it once and use it with any model. Suede Emails is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Suede Emails in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-emails. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Suede Emails?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Suede Emails?

As many as you like. As long as a model supports skills, you can use Suede Emails with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Suede Emails AI skill free?

Yes. It is published on GitHub by JasonColapietro under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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