Agent skill

Email Generation

by extruct-ai in extruct-ai/gtm-skills

Render a cold-outreach email sequence from a fixed template set and a contact CSV whose input fields are already filled.

No licenceAuto-check passedMarketing & SEO

Install Email Generation

skills CLI
$ npx skills add extruct-ai/gtm-skills --skill email-generation -a claude-code

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

GitHub CLI
$ gh skill install extruct-ai/gtm-skills email-generation --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/extruct-ai/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/email-generation .claude/skills/email-generation && 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
email-generation
GitHub stars
109
Token cost
~1.7k tokens
SKILL.md length
740 words
Files
2 (incl. references)
Skills in repo
20
Repo updated
First seen
Licence
None found

At a glance

Render a cold-outreach email sequence from a fixed template set and a contact CSV whose input fields are already filled.

  • Works in 4 steps: Validate inputs → Render per row → Write outputs → …
  • : generate emails
  • SKILL.md covers Architectural Principle, Inputs Required, The Render Contract and Workflow, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Email Generation is an agent skill from extruct-ai/gtm-skills. Render a cold-outreach email sequence from a fixed template set and a contact CSV whose input fields are already filled. Deterministic — variant routing + placeholder substitution, no per-row LLM call. The render contract (newline model, per-target escaping, operation order) is the core of this skill. Triggers on: "generate emails", "email generation", "run emails", "render emails", "create emails", "email pipeline", "generate outreach".

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/render_emails.py`).

It sits in Marketing & SEO, covering Email marketing, Cold outreach and CSV and tabular files.

When your agent uses it

  • : generate emails
  • Email generation
  • Generate outreach

Example prompts

  • “generate emails”
  • “email generation”
  • “run emails”
  • “/email-generation”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Validate inputs
  2. Render per row
  3. Write outputs
  4. Quality checks

What it can do on your machine

Read from SKILL.md and the folder at commit 34406cb. 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

    Ships script files (Python), which the agent can run.

    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

Email Generation loads about 1.7k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 740 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 740 words (~1,655 tokens).

“Render a sequence from a fixed template set (sequence.md from email-prompt-building) and a contact CSV whose {{input_fields}} are already populated. This skill is mechanical: route variants, substitute placeholders, render to the target format, write the output CSV.”

— opening of SKILL.md by extruct-ai
name
email-generation

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in skills/email-generation of extruct-ai/gtm-skills.

  • SKILL.md
  • references/render_emails.py

Open the folder on GitHubat commit 34406cb

Compare with similar skills

Email Generation 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.

Email Generation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Email Generation this skillextruct-ai/gtm-skills109—~1.7kAutomated safety check: PassNone
56 Retargeting Plan Globalminhnv0807/ai-business-skills608—~2.8kAutomated safety check: PassMIT
Suede EmailsJasonColapietro/suede-creator-skills127—~2.5kAutomated safety check: PassMIT
Email Marketing BibleCosmoBlk/email-marketing-bible324—~6.8kAutomated safety check: PassMIT
Email Sequence Designeraaron-he-zhu/aaron-marketing-skills2.9k2 repos~4.2kAutomated safety check: PassApache-2.0
Outreach Specialistognjengt/founder-skills406—~3.2kAutomated safety check: PassMIT

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  • 56 Retargeting Plan Global

    minhnv0807/ai-business-skills

    A skill your agent uses when warm audiences need a plan — retargeting tiers by intent and recency, a different message per tier, frequency caps, attribution windows, lookalike seeds, exclusion…

    608 GitHub stars~2.8k tokensUpdated 25 days ago
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  • Suede Emails

    JasonColapietro/suede-creator-skills

    Suede-owned lifecycle email design for welcome, onboarding, nurture, re-engagement, post-purchase, and trigger-based sequences.

    127 GitHub stars~2.5k tokensUpdated 3 days ago
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  • Email Marketing Bible

    CosmoBlk/email-marketing-bible

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    324 GitHub stars~6.8k tokensUpdated today
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  • Email Sequence Designer

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "design a welcome flow", "set up an abandoned-cart sequence", "build a light re-engagement branch inside a lifecycle flow", or "plan a cold-outbound…

    2.9k GitHub starsUsed in 2 repos~4.2k tokens
    Marketing & SEOAuto-check passed
  • Outreach Specialist

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    406 GitHub stars~3.2k tokensUpdated 4 mo ago
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  • Context Building

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  • Email Response Simulation

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  • Email Search

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  • Enrichment Design

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Questions about Email Generation

What does Email Generation do?

Render a cold-outreach email sequence from a fixed template set and a contact CSV whose input fields are already filled. Email Generation is an agent skill from extruct-ai/gtm-skills. Render a cold-outreach email sequence from a fixed template set and a contact CSV whose input fields are already filled.

When should I use Email Generation?

Email Generation fits situations like: : generate emails; email generation; generate outreach.

How do I install Email Generation in Claude Code?

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

How do I install Email Generation in Codex?

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

Can I use Email Generation 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 extruct-ai/gtm-skills --skill email-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/email-generation, .gemini/skills/email-generation, .github/skills/email-generation and .opencode/skills/email-generation in your project.

What does Email Generation need to run?

Going by SKILL.md and its folder, Email Generation needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Email Generation 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 Email Generation 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 Email Generation use?

No licence was found for Email Generation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Email Generation use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Email Generation?

Skills that share tags, products or a category with Email Generation: 56 Retargeting Plan Global (minhnv0807/ai-business-skills, 608 stars), Suede Emails (JasonColapietro/suede-creator-skills, 127 stars), Email Marketing Bible (CosmoBlk/email-marketing-bible, 324 stars) and Email Sequence Designer (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 Email Generation?

extruct-ai (a GitHub organization) maintains it in extruct-ai/gtm-skills, which has 109 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 28, 2026.

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