Agent skill

Atomic Message

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

Draft ONE cold-outreach message from a signal + persona + channel: a single cold email, a LinkedIn note, or a follow-up.

No licenceAuto-check passedSales & Support

Install Atomic Message

skills CLI
$ npx skills add extruct-ai/gtm-skills --skill atomic-message -a claude-code

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

GitHub CLI
$ gh skill install extruct-ai/gtm-skills atomic-message --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/atomic-message .claude/skills/atomic-message && 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
atomic-message
GitHub stars
109
Token cost
~952 tokens
SKILL.md length
446 words
Files
2 (incl. references)
Skills in repo
20
Repo updated
First seen
Licence
None found

At a glance

Draft ONE cold-outreach message from a signal + persona + channel: a single cold email, a LinkedIn note, or a follow-up.

  • Works in 5 steps: Read the context file → Pick the angle → Draft for the channel → …
  • : write a message
  • SKILL.md covers Inputs, Workflow and Reference
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Atomic Message is an agent skill from extruct-ai/gtm-skills. Draft ONE cold-outreach message from a signal + persona + channel: a single cold email, a LinkedIn note, or a follow-up. Generates one primary draft plus 1-2 variants, then runs a self-check lint. Reads voice, sender identity, positioning, proof, and banned words from the company context file. This is the single-message craft engine; it does NOT build sequences, cadences, or multi-touch arcs (email-prompt-building owns sequencing). Triggers on: "write a message", "draft a message", "atomic message", "write a…

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/craft.md`).

It sits in Sales & Support, covering Cold outreach, Verification before completion and Linting and formatting. It works with LinkedIn.

When your agent uses it

  • : write a message
  • Draft a message
  • Write a single email
  • Write a linkedin message

Example prompts

  • “write a message”
  • “draft a message”
  • “atomic message”
  • “/atomic-message”

Workflow steps

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

  1. Read the context file
  2. Pick the angle
  3. Draft for the channel
  4. Self-check (lint)
  5. Emit

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

    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

Atomic Message loads about 952 tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 189 tokens; SKILL.md has 446 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~189
When it runs · the whole SKILL.md, loaded when a task matches
~952
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

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 446 words (~952 tokens).

“Draft one outreach message at a time: a cold email, a LinkedIn note, or a follow-up. Generate a primary draft plus 1-2 variants, then lint against the craft rules before emitting.”

— opening of SKILL.md by extruct-ai
name
atomic-message

Read the full SKILL.md on GitHub

Files

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

  • SKILL.md
  • references/craft.md

Open the folder on GitHubat commit 34406cb

Compare with similar skills

Atomic Message 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.

Atomic Message compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Atomic Message this skillextruct-ai/gtm-skills109—~952Automated safety check: PassNone
Messaging Ab Testergooseworks-ai/goose-skills1.2k1 repos~2.3kAutomated safety check: PassMIT
Linkedin Outbound AngleOthmane-Khadri/YALC-the-GTM-operating-system317—~3.5kAutomated safety check: PassMIT
Prospectingcoreyhaines31/marketingskills54k—~4.9kAutomated safety check: PassMIT
Sales OsromangojiberryAI/gojiberryai-sales-os138—~2kAutomated safety check: PassMIT
Cold Outreach Personalizeraiskilloftheweek/claude-ai-skill-of-the-week146—~2.6kAutomated safety check: PassNone

Similar skills

  • Messaging Ab Tester

    gooseworks-ai/goose-skills

    Generate 3-5 messaging variants for a value proposition, design structured A/B tests, and analyze results to determine which framing resonates most with ICP.

    1.2k GitHub starsUsed in 1 repo~2.3k tokens
    Sales & SupportAuto-check passed
  • Linkedin Outbound Angle

    Othmane-Khadri/YALC-the-GTM-operating-system

    Analyzes a LinkedIn profile and identifies the perfect outbound attack angle for personalized outreach.

    317 GitHub stars~3.5k tokensUpdated 1 mo ago
    Marketing & SEOAuto-check passed
  • Prospecting

    coreyhaines31/marketingskills

    When the user wants to find, qualify, and build a list of prospects to reach out to, across B2B SaaS, general B2B, or local small businesses.

    54k GitHub stars~4.9k tokensUpdated today
    Sales & SupportAuto-check passed
  • Sales Os

    romangojiberryAI/gojiberryai-sales-os

    A complete outbound sales department in one skill. An agent skill from romangojiberryAI/gojiberryai-sales-os.

    138 GitHub stars~2k tokensUpdated 1 mo ago
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  • Cold Outreach Personalizer

    aiskilloftheweek/claude-ai-skill-of-the-week

    Generates hyper-personalized cold outreach messages (email, LinkedIn DM, connection request) from raw prospect research.

    146 GitHub stars~2.6k tokensUpdated 4 mo ago
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  • Cold Email

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    Write and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling.

    54k GitHub stars~3.1k tokensUpdated today
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More from extruct-ai/gtm-skills

All 20 skills in this repo
  • Account Research

    extruct-ai/gtm-skills

    Deep-research a single target account into a decision-ready dossier: the entity tree, the buying units and decision-makers, live signals (open/closed roles, leadership moves, news, tech stack), and…

    109 GitHub stars~1.6k tokensUpdated 9 days ago
    Auto-check passed
  • Campaign Sending

    extruct-ai/gtm-skills

    Upload finalized emails for sequencing and sending. An agent skill from extruct-ai/gtm-skills.

    109 GitHub stars~1.2k tokensUpdated 9 days ago
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  • Context Building

    extruct-ai/gtm-skills

    Build and maintain a global company context file that all other GTM skills read from.

    109 GitHub stars~1.5k tokensUpdated 9 days ago
    Auto-check passed
  • Email Generation

    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.

    109 GitHub stars~1.7k tokensUpdated 9 days ago
    Auto-check passed
  • Email Response Simulation

    extruct-ai/gtm-skills

    Deep persona simulation and skeptical buyer review for cold emails.

    109 GitHub stars~2.8k tokensUpdated 9 days ago
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  • Email Search

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    Get verified emails and phones for contacts found by people-search.

    109 GitHub stars~1.3k tokensUpdated 9 days ago
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Works with

Categories

Questions about Atomic Message

What does Atomic Message do?

Draft ONE cold-outreach message from a signal + persona + channel: a single cold email, a LinkedIn note, or a follow-up. Atomic Message is an agent skill from extruct-ai/gtm-skills. Draft ONE cold-outreach message from a signal + persona + channel: a single cold email, a LinkedIn note, or a follow-up.

When should I use Atomic Message?

Atomic Message fits situations like: : write a message; draft a message; write a single email; write a linkedin message.

How do I install Atomic Message in Claude Code?

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

How do I install Atomic Message in Codex?

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

Can I use Atomic Message 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 atomic-message -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/atomic-message, .gemini/skills/atomic-message, .github/skills/atomic-message and .opencode/skills/atomic-message in your project.

What does Atomic Message need to run?

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

Does Atomic Message 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 Atomic Message 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 Atomic Message use?

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

How many tokens does Atomic Message use?

About 952 tokens (SKILL.md is roughly 3.8k 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 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Atomic Message?

Skills that share tags, products or a category with Atomic Message: Messaging Ab Tester (gooseworks-ai/goose-skills, 1.2k stars), Linkedin Outbound Angle (Othmane-Khadri/YALC-the-GTM-operating-system, 317 stars), Prospecting (coreyhaines31/marketingskills, 54k stars) and Sales Os (romangojiberryAI/gojiberryai-sales-os, 138 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Atomic Message?

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.