Email Response Simulation
extruct-ai/gtm-skills
Deep persona simulation and skeptical buyer review for cold emails.
Writes personalized B2B cold emails from prospect research, using a gated workflow, a quality rubric and follow-up sequences.
Install Cold Email Personalization
$ npx skills add gtmagents/gtm-agents --skill cold-email-personalization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gtmagents/gtm-agents cold-email-personalization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gtmagents/gtm-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/copywriting/skills/cold-email-personalization .claude/skills/cold-email-personalization && rm -rf skills-srcUse ~/.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/
Install the "cold-email-personalization" agent skill from https://github.com/gtmagents/gtm-agents/tree/main/plugins/copywriting/skills/cold-email-personalization into .claude/skills/cold-email-personalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-personalization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gtmagents/gtm-agents/tree/main/plugins/copywriting/skills/cold-email-personalizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gtmagents/gtm-agents --skill cold-email-personalization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gtmagents/gtm-agents cold-email-personalization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gtmagents/gtm-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/copywriting/skills/cold-email-personalization .agents/skills/cold-email-personalization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cold-email-personalization" agent skill from https://github.com/gtmagents/gtm-agents/tree/main/plugins/copywriting/skills/cold-email-personalization into .agents/skills/cold-email-personalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-personalization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gtmagents/gtm-agents --skill cold-email-personalization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gtmagents/gtm-agents cold-email-personalization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gtmagents/gtm-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/copywriting/skills/cold-email-personalization .cursor/skills/cold-email-personalization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cold-email-personalization" agent skill from https://github.com/gtmagents/gtm-agents/tree/main/plugins/copywriting/skills/cold-email-personalization into .cursor/skills/cold-email-personalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-personalization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gtmagents/gtm-agents.git --path plugins/copywriting/skills/cold-email-personalization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gtmagents/gtm-agents --skill cold-email-personalization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gtmagents/gtm-agents cold-email-personalization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gtmagents/gtm-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/copywriting/skills/cold-email-personalization .gemini/skills/cold-email-personalization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cold-email-personalization" agent skill from https://github.com/gtmagents/gtm-agents/tree/main/plugins/copywriting/skills/cold-email-personalization into .gemini/skills/cold-email-personalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-personalization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gtmagents/gtm-agents cold-email-personalizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gtmagents/gtm-agents --skill cold-email-personalization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gtmagents/gtm-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/copywriting/skills/cold-email-personalization .github/skills/cold-email-personalization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cold-email-personalization" agent skill from https://github.com/gtmagents/gtm-agents/tree/main/plugins/copywriting/skills/cold-email-personalization into .github/skills/cold-email-personalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-personalization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gtmagents/gtm-agents --skill cold-email-personalization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gtmagents/gtm-agents cold-email-personalization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gtmagents/gtm-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/copywriting/skills/cold-email-personalization .opencode/skills/cold-email-personalization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cold-email-personalization" agent skill from https://github.com/gtmagents/gtm-agents/tree/main/plugins/copywriting/skills/cold-email-personalization into .opencode/skills/cold-email-personalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-personalization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
cold-email-personalization- GitHub stars
- 414
- Used in
- 1 other repo
- Token cost
- ~853 tokens
- SKILL.md length
- 347 words
- Files
- 11 (incl. assets)
- Skills in repo
- 121
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Writes personalized B2B cold emails from prospect research, using a gated workflow, a quality rubric and follow-up sequences.
- Works in 6 steps: Map the ICP — Complete ICP & Objection… → Research signals — Follow the Research… → Choose campaign path — Pick Custom… → …
- Writing outbound emails to a list of B2B prospects
- SKILL.md covers When to Use, Workflow, Principles and Example, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
A six-step workflow: map the ideal customer profile and objections, research signals from the last 90 days, choose a campaign path (Custom Signal, Creative Idea, Whole Offer or Fallback), draft the email, run QA and scoring, then build the follow-up sequence. Several steps carry gates, such as at least 2 verified signals per prospect and a score of 80 or more.
Drafts are plain text, 60 to 120 words, with one call to action and merge fields from a variable schema. The principles stress that research is the personalization, that each email has one job, and that facts are never invented. The assets folder holds the playbooks, rubric, checklist and worked examples that the steps point to.
When your agent uses it
- Writing outbound emails to a list of B2B prospects
- Turning prospect research into opening lines
- Scoring a draft before it goes out
- Building a multi-touch follow-up sequence
Example prompts
- “Write a cold email to the VP of Sales at a logistics startup that just hired a new CRO.”
- “Score this cold email draft against the rubric and tighten it.”
- “Build a four-touch follow-up sequence for our fintech outreach list.”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Map the ICP — Complete ICP & Objection Mapping. Gate: persona, top 3 objections, and desired next step are defined.
- Research signals — Follow the Research Playbook to find custom signals from the last 90 days. Gate: at least 2 verified signals per…
- Choose campaign path — Pick Custom Signal, Creative Idea, Whole Offer, or Fallback from Campaign Types.
- Draft the email — Apply Email Structure rules: plain text, 60-120 words, one CTA. Use Variable Schema for merge fields.
- QA and score — Run the QA Checklist, then score with the Scoring Rubric. Gate: score >= 80 and 3:1 recipient-to-sender ratio.
- Build sequence — Add follow-ups per Follow-Up Strategy, rotating value props each touch.
What it can do on your machine
Read from SKILL.md and the folder at commit 78e0419. 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
Cold Email Personalization loads about 853 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 347 words of instructions outside code blocks.
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 gtmagents/gtm-agents at commit 78e0419, republished under its Apache-2.0 licence (© gtmagents). 347 words, ~853 tokens.
Download SKILL.mdSave it as
.claude/skills/cold-email-personalization/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.- name
- cold-email-personalization
- description
- Writes personalized cold emails by researching prospects, crafting attention-grabbing openers, and scoring drafts against a quality rubric. Use when the user asks to write cold emails, outreach emails, sales prospecting messages, outbound email campaigns, or B2B email sequences.
Cold Email Personalization
When to Use
- Writing cold outreach, sales prospecting, or outbound B2B emails
- Personalizing email openers from prospect research signals
- Building multi-touch follow-up sequences
- Reviewing or scoring email drafts before sending
Workflow
- Map the ICP — Complete ICP & Objection Mapping. Gate: persona, top 3 objections, and desired next step are defined.
- Research signals — Follow the Research Playbook to find custom signals from the last 90 days. Gate: at least 2 verified signals per prospect.
- Choose campaign path — Pick Custom Signal, Creative Idea, Whole Offer, or Fallback from Campaign Types.
- Draft the email — Apply Email Structure rules: plain text, 60-120 words, one CTA. Use Variable Schema for merge fields.
- QA and score — Run the QA Checklist, then score with the Scoring Rubric. Gate: score >= 80 and 3:1 recipient-to-sender ratio.
- Build sequence — Add follow-ups per Follow-Up Strategy, rotating value props each touch.
Principles
- Message-market fit over cleverness — Show you understand the prospect's situation immediately.
- Research is the personalization — Custom signals prove homework; never fabricate facts.
- One job per email — Single sharp question or CTA; earn a reply, not a meeting.
- Two personalization paths — Path A: custom signal research. Path B: whole-offer strategy. See Creative Ideas for Path B tactics.
Example
Signal found: Prospect's company posted a VP Sales hire on LinkedIn 2 weeks ago.
Subject: {{first_name}}, growing the sales team?
Body: Hi {{first_name}}, saw {{company}} just brought on a new VP Sales — congrats. Specifically, it looks like you're scaling outbound to {{customer_type}}. We helped [similar company] ramp 3 new reps to quota 40% faster by templatizing their top performer's research workflow. Worth a 15-min look?
Why it works: Uses a verified, recent signal in the first line; ties it to a specific, relevant outcome; single clear CTA.
References
- Research Playbook — Finding custom signals
- Variable Schema — Standard merge variables
- Email Structure — Subject lines, body, punchiness
- Campaign Types — Four campaign patterns
- Creative Ideas — Generating credible prospect ideas
- Follow-Up Strategy — Sequence logic and value rotation
- ICP & Objection Mapping — Persona and objection prep
- QA Checklist — Pre-send verification
- Scoring Rubric — 0-100 quality score
- Examples — Full campaign examples
© gtmagents, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 10 other files (assets) in plugins/copywriting/skills/cold-email-personalization of gtmagents/gtm-agents.
- SKILL.md
- assets/campaign-types.md
- assets/creative-ideas.md
- assets/email-structure.md
- assets/examples.md
- assets/follow-up-strategy.md
- assets/icp-objection-mapping.md
- assets/qa-checklist.md
- assets/research-playbook.md
- assets/scoring-rubric.md
- assets/variable-schema.md
Open the folder on GitHubat commit 78e0419
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gtmagents/gtm-agents, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Cold Email Personalization 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cold Email Personalization this skillgtmagents/gtm-agents | 414 | 1 repos | ~853 | Automated safety check: Pass | Apache-2.0 | |
| Email Response Simulationextruct-ai/gtm-skills | 109 | — | ~2.8k | Automated safety check: Pass | None | |
| Msp SalesRTFM-IT-Services-LLC/msp-claude-skills | 115 | — | ~7.8k | Automated safety check: Pass | Custom licence | |
| Email Template GeneratorOneWave-AI/claude-skills | 336 | 1 repos | ~906 | Automated safety check: Pass | MIT | |
| Personalize Emailexplorium-ai/gtm-skills | 185 | — | ~2k | Automated safety check: Pass | MIT | |
| Compose Outreachw95/awesome-claude-corporate-skills | 244 | — | ~1.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Cold Email Personalization
What does Cold Email Personalization do?
Writes personalized B2B cold emails from prospect research, using a gated workflow, a quality rubric and follow-up sequences. A six-step workflow: map the ideal customer profile and objections, research signals from the last 90 days, choose a campaign path (Custom Signal, Creative Idea, Whole Offer or Fallback), draft the email, run QA and scoring, then build the follow-up sequence. Several steps carry gates, such as at least 2 verified signals per prospect and a score of 80 or more.
When should I use Cold Email Personalization?
Cold Email Personalization fits situations like: writing outbound emails to a list of B2B prospects; turning prospect research into opening lines; scoring a draft before it goes out; building a multi-touch follow-up sequence.
How do I install Cold Email Personalization in Claude Code?
Run `npx skills add gtmagents/gtm-agents --skill cold-email-personalization -a claude-code`. Or copy the skill folder (plugins/copywriting/skills/cold-email-personalization in gtmagents/gtm-agents) into .claude/skills/cold-email-personalization in your project. Claude Code loads it when a task matches its description.
How do I install Cold Email Personalization in Codex?
Run `npx skills add gtmagents/gtm-agents --skill cold-email-personalization -a codex`. Or copy the skill folder (plugins/copywriting/skills/cold-email-personalization in gtmagents/gtm-agents) into .agents/skills/cold-email-personalization in your project. Codex loads it when a task matches its description.
Can I use Cold Email Personalization 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 gtmagents/gtm-agents --skill cold-email-personalization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cold-email-personalization, .gemini/skills/cold-email-personalization, .github/skills/cold-email-personalization and .opencode/skills/cold-email-personalization in your project.
What does Cold Email Personalization need to run?
SKILL.md names no scripts, command-line tools or credentials: Cold Email Personalization is instructions for the agent only.
Does Cold Email Personalization 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 Cold Email Personalization 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 Cold Email Personalization use?
Cold Email Personalization is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cold Email Personalization use?
About 853 tokens (SKILL.md is roughly 3.4k 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 Cold Email Personalization?
Skills that share tags, products or a category with Cold Email Personalization: Email Response Simulation (extruct-ai/gtm-skills, 109 stars), Msp Sales (RTFM-IT-Services-LLC/msp-claude-skills, 115 stars), Email Template Generator (OneWave-AI/claude-skills, 336 stars) and Personalize Email (explorium-ai/gtm-skills, 185 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cold Email Personalization?
gtmagents (a GitHub user) maintains it in gtmagents/gtm-agents, which has 414 GitHub stars. The repository holds 121 skills in this directory. The repository was last updated on April 3, 2026.
Source: gtmagents/gtm-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.