Agent skill

Sales Email Sequences

by seb1n in seb1n/awesome-ai-agent-skills

Design multi-touch outbound email sequences with personalized messaging, timing cadences, and conversion-aware copy for prospecting or re-engagement.

MITAuto-check passedMarketing & SEO

Install Sales Email Sequences

skills CLI
$ npx skills add seb1n/awesome-ai-agent-skills --skill sales-email-sequences -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install seb1n/awesome-ai-agent-skills sales-email-sequences --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sales/sales-email-sequences .claude/skills/sales-email-sequences && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sales-email-sequences
GitHub stars
206
Token cost
~2.1k tokens
SKILL.md length
1,148 words
Files
1
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Design multi-touch outbound email sequences with personalized messaging, timing cadences, and conversion-aware copy for prospecting or re-engagement.

  • Works in 5 steps: Define ICP and Persona — Establish the… → Craft the Core Value Proposition —… → Write the Email Sequence — Build a… → …
  • The user needs a coordinated sales campaign across several touches
  • SKILL.md covers Workflow, Usage, Examples and Best Practices, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sales Email Sequences is an agent skill from seb1n/awesome-ai-agent-skills. Design multi-touch outbound email sequences with personalized messaging, timing cadences, and conversion-aware copy for prospecting or re-engagement. Use when the user needs a coordinated sales campaign across several touches; use email-drafting for a single message or reply.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Email marketing and Cold outreach. The repository describes itself as: 103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other Agent Skills-compatible tools. Complete SKILL.md… The licence is MIT.

When your agent uses it

  • The user needs a coordinated sales campaign across several touches
  • Use email-drafting for a single message

Example prompts

  • “/sales-email-sequences”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Define ICP and Persona — Establish the ideal customer profile (industry, company size, revenue range, geography) and the target persona…
  2. Craft the Core Value Proposition — Distill your product's relevance to this persona into a single compelling statement. Focus on a…
  3. Write the Email Sequence — Build a multi-touch sequence: an opening email that earns attention with a relevant hook, follow-ups that…
  4. Add Personalization Tokens — Insert dynamic fields for prospect name, company, industry, recent trigger events (funding rounds, job…
  5. Set Timing and Cadence — Define send days, times, and intervals between touches. B2B sequences typically perform best with…

What it can do on your machine

Read from SKILL.md and the folder at commit 75865a5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sales Email Sequences loads about 2.1k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 1,148 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from seb1n/awesome-ai-agent-skills at commit 75865a5, republished under its MIT licence (© seb1n). 1,148 words, ~2,101 tokens.

Download SKILL.mdSave it as .claude/skills/sales-email-sequences/SKILL.md (or your agent's skills folder).
name
sales-email-sequences
description
Design multi-touch outbound email sequences with personalized messaging, timing cadences, and conversion-aware copy for prospecting or re-engagement. Use when the user needs a coordinated sales campaign across several touches; use email-drafting for a single message or reply.
license
MIT
metadata.author
community
metadata.version
1.0

Sales Email Sequences

Design end-to-end outbound email sequences that move prospects from cold outreach to booked meetings. This skill builds persona-targeted messaging across multiple touches — intros, follow-ups, value-adds, and breakup emails — with personalization tokens, subject line variants, and send-timing cadences optimized for reply rates.

Workflow

  1. Define ICP and Persona — Establish the ideal customer profile (industry, company size, revenue range, geography) and the target persona (title, seniority, responsibilities, pain points). This determines tone, vocabulary, value framing, and which proof points resonate.

  2. Craft the Core Value Proposition — Distill your product's relevance to this persona into a single compelling statement. Focus on a specific, measurable outcome (e.g., "reduce month-end close from 10 days to 3") rather than feature lists. This value prop threads through every email in the sequence.

  3. Write the Email Sequence — Build a multi-touch sequence: an opening email that earns attention with a relevant hook, follow-ups that introduce new angles or proof points, a value-add email offering a resource, and a breakup email that creates urgency through finality. Each email should be 50–120 words in the body.

  4. Add Personalization Tokens — Insert dynamic fields for prospect name, company, industry, recent trigger events (funding rounds, job changes, earnings calls), and any known tech stack details. Personalization beyond {{first_name}} dramatically lifts reply rates.

  5. Set Timing and Cadence — Define send days, times, and intervals between touches. B2B sequences typically perform best with Tuesday–Thursday sends between 8–10 AM local time, with 2–4 day gaps between early touches and longer gaps (5–7 days) before the breakup.

Usage

Specify the target persona, your product/service, the core pain point you solve, and desired sequence length. Optionally include trigger events or specific personalization data.

Example prompt:

Create a 5-email cold outreach sequence targeting VP of Engineering at Series B+ SaaS companies. We sell an automated code review platform that cuts PR review time by 60%. Include subject lines, body copy, and send timing for each email.

Examples

Example 1: 5-Email Cold Outreach Sequence (B2B SaaS)

Target: VP of Engineering at Series B+ SaaS companies (100–500 employees) Product: Automated code review platform Value prop: Cut PR review time by 60%, ship 2x faster


Email 1 — The Hook (Day 1, Tuesday 9:00 AM)

Subject: {{company}}'s PR bottleneck

Hi {{first_name}},

Saw {{company}} just shipped {{recent_launch}} — congrats. Curious if your team is feeling the review bottleneck that usually comes with scaling engineering velocity post-Series B.

Our platform plugs into your existing GitHub workflow and automates 60% of code review — teams our size typically cut PR cycle time from 24 hours to under 4.

Worth a 15-min look? I can show you results from {{similar_company}} in your space.

Best, {{sender_name}}


Email 2 — Social Proof (Day 3, Thursday 8:30 AM)

Subject: How {{similar_company}} ships 2x faster

{{first_name}}, quick follow-up.

{{similar_company}} was averaging 22-hour PR cycle times with a 40-person eng team. After deploying our automated review, they dropped to 3.5 hours and increased weekly deploys by 94%.

Happy to share their playbook — no strings.

{{sender_name}}


Email 3 — Value-Add (Day 7, Monday 9:00 AM)

Subject: Code review benchmarks for {{industry}} teams

{{first_name}},

We just published our 2025 Engineering Velocity Report — covers review cycle benchmarks across 200+ SaaS teams your size.

Key finding: top-quartile teams automate 55%+ of review comments. Bottom quartile still relies on fully manual review and ships 3.2x slower.

Here's the report: [link]

Useful regardless of whether we chat — but if the data resonates, I'd love to show how we help teams move from bottom to top quartile in weeks.

{{sender_name}}


Email 4 — New Angle (Day 11, Friday 8:00 AM)

Subject: Developer satisfaction at {{company}}

{{first_name}},

One thing that doesn't show up in cycle-time metrics: developer frustration. Our latest survey found that 72% of engineers rank "waiting on code review" as their top workflow blocker.

If retention and developer experience are on your radar this year, automating the review bottleneck is low-hanging fruit with outsized impact.

Open to a quick call next week?

{{sender_name}}


Email 5 — Breakup (Day 16, Wednesday 9:00 AM)

Subject: Closing the loop

{{first_name}},

I've reached out a few times and haven't heard back — totally understand if the timing isn't right.

I'll leave you with this: {{company}} can trial our platform free for 30 days on a single repo, no integration work required. If review speed becomes a priority, you'll know where to find us.

Wishing you and the {{company}} team a strong quarter.

{{sender_name}}


Show full SKILL.md (420 more words)Show less
Example 2: 3-Email Re-Engagement Sequence (Dormant Leads)

Target: Marketing Directors who attended a webinar 90+ days ago but went dark.

Email 1 — Re-engage with New Value (Day 1)

Subject: A lot's changed since {{webinar_name}}

Hi {{first_name}},

You joined our {{webinar_name}} session back in {{month}} — since then, we've launched three features our marketing customers specifically asked for: multi-touch attribution, AI-powered content scoring, and Salesforce bi-directional sync.

Any of those hit a current pain point? Happy to do a 15-minute walkthrough tailored to {{company}}'s stack.

{{sender_name}}

Email 2 — Peer Success Story (Day 5)

Subject: {{peer_company}} just hit 140% of pipeline target

{{first_name}},

Since we last connected, {{peer_company}} (similar size and vertical to {{company}}) rolled out our attribution model. Result: 140% of pipeline target last quarter with 20% less ad spend.

Their director of demand gen did a 3-minute video case study — want me to send it over?

{{sender_name}}

Email 3 — Breakup with Offer (Day 10)

Subject: Last note from me

{{first_name}},

Don't want to clutter your inbox. If priorities have shifted, no worries — I'll close out this thread.

One parting offer: we're running a free pipeline audit for marketing teams through end of quarter. Takes 30 minutes, zero commitment, and you walk away with a benchmarked view of your funnel vs. industry peers.

Link to book: [link]

Either way, wishing {{company}} a strong quarter.

{{sender_name}}

Best Practices

  • Keep body copy under 120 words — every extra sentence drops reply rates measurably.
  • Personalize beyond first name; reference company news, tech stack, or a recent trigger event.
  • Each email should introduce a new angle (social proof, data, empathy, resource) rather than repeating the same pitch.
  • Write subject lines under 6 words — shorter subjects outperform in B2B outreach.
  • Send from a real person's address, never a generic team alias.
  • A/B test the first email's subject line and opening line before scaling the sequence.

Edge Cases

  • No trigger events available — Fall back to industry-level trends or publicly available company metrics (headcount growth, job postings, tech stack signals).
  • Prospect replies mid-sequence — Any reply (positive, negative, or out-of-office) should halt the automated sequence and route to a human rep immediately.
  • Multi-threaded deals — When targeting multiple personas at the same company, stagger sequences by 3–5 days and vary the value prop angle to avoid the contacts comparing notes on identical emails.
  • Regulated industries (healthcare, finance) — Remove aggressive urgency language, add compliance-safe disclaimers, and ensure CAN-SPAM / GDPR opt-out links are present.
  • Very small TAM (< 200 accounts) — Increase manual personalization depth significantly; generic sequences burn through a limited addressable market too quickly.

© seb1n, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in sales/sales-email-sequences of seb1n/awesome-ai-agent-skills.

Open the folder on GitHubat commit 75865a5

Compare with similar skills

Sales Email Sequences next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sales Email Sequences compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sales Email Sequences this skillseb1n/awesome-ai-agent-skills206—~2.1kAutomated safety check: PassMIT
Emailscoreyhaines31/marketingskills54k1 repos~2.8kAutomated safety check: PassMIT
Email Sequence Designeraaron-he-zhu/aaron-marketing-skills2.9k2 repos~4.2kAutomated safety check: PassApache-2.0
Email Generationextruct-ai/gtm-skills109—~1.7kAutomated safety check: PassNone
Social Selling Planneraaron-he-zhu/aaron-marketing-skills2.9k—~3.3kAutomated safety check: PassApache-2.0
56 Retargeting Plan Globalminhnv0807/ai-business-skills609—~2.8kAutomated safety check: PassMIT

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Categories

Questions about Sales Email Sequences

What does Sales Email Sequences do?

Design multi-touch outbound email sequences with personalized messaging, timing cadences, and conversion-aware copy for prospecting or re-engagement. Sales Email Sequences is an agent skill from seb1n/awesome-ai-agent-skills. Design multi-touch outbound email sequences with personalized messaging, timing cadences, and conversion-aware copy for prospecting or re-engagement.

When should I use Sales Email Sequences?

Sales Email Sequences fits situations like: the user needs a coordinated sales campaign across several touches; use email-drafting for a single message.

How do I install Sales Email Sequences in Claude Code?

Run `npx skills add seb1n/awesome-ai-agent-skills --skill sales-email-sequences -a claude-code`. Or copy the skill folder (sales/sales-email-sequences in seb1n/awesome-ai-agent-skills) into .claude/skills/sales-email-sequences in your project. Claude Code loads it when a task matches its description.

How do I install Sales Email Sequences in Codex?

Run `npx skills add seb1n/awesome-ai-agent-skills --skill sales-email-sequences -a codex`. Or copy the skill folder (sales/sales-email-sequences in seb1n/awesome-ai-agent-skills) into .agents/skills/sales-email-sequences in your project. Codex loads it when a task matches its description.

Can I use Sales Email Sequences in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add seb1n/awesome-ai-agent-skills --skill sales-email-sequences -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sales-email-sequences, .gemini/skills/sales-email-sequences, .github/skills/sales-email-sequences and .opencode/skills/sales-email-sequences in your project.

What does Sales Email Sequences need to run?

SKILL.md names no scripts, command-line tools or credentials: Sales Email Sequences is instructions for the agent only.

Does Sales Email Sequences access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sales Email Sequences safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sales Email Sequences use?

Sales Email Sequences is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sales Email Sequences use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sales Email Sequences?

Skills that share tags, products or a category with Sales Email Sequences: Emails (coreyhaines31/marketingskills, 54k stars), Email Sequence Designer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Email Generation (extruct-ai/gtm-skills, 109 stars) and Social Selling Planner (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sales Email Sequences?

seb1n (a GitHub user) maintains it in seb1n/awesome-ai-agent-skills, which has 206 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on August 9, 2026.

Source: seb1n/awesome-ai-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.