Personalize Email
explorium-ai/gtm-skills
Cold email personalization skill for Claude Code and Codex: assemble an intent and firmographic signal pack for one prospect so a downstream LLM can compose a truly personalized outbound email.
Deep persona simulation and skeptical buyer review for cold emails.
Install Email Response Simulation
$ npx skills add extruct-ai/gtm-skills --skill email-response-simulation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install extruct-ai/gtm-skills email-response-simulation --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/extruct-ai/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/email-response-simulation .claude/skills/email-response-simulation && 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 "email-response-simulation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/email-response-simulation into .claude/skills/email-response-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "email-response-simulation", 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/extruct-ai/gtm-skills/tree/main/skills/email-response-simulationType 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 extruct-ai/gtm-skills --skill email-response-simulation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install extruct-ai/gtm-skills email-response-simulation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/email-response-simulation .agents/skills/email-response-simulation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "email-response-simulation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/email-response-simulation into .agents/skills/email-response-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "email-response-simulation", 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 extruct-ai/gtm-skills --skill email-response-simulation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install extruct-ai/gtm-skills email-response-simulation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/email-response-simulation .cursor/skills/email-response-simulation && 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 "email-response-simulation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/email-response-simulation into .cursor/skills/email-response-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "email-response-simulation", 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/extruct-ai/gtm-skills.git --path skills/email-response-simulation--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 extruct-ai/gtm-skills --skill email-response-simulation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install extruct-ai/gtm-skills email-response-simulation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/email-response-simulation .gemini/skills/email-response-simulation && 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 "email-response-simulation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/email-response-simulation into .gemini/skills/email-response-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "email-response-simulation", 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 extruct-ai/gtm-skills email-response-simulationInstalls 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 extruct-ai/gtm-skills --skill email-response-simulation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/email-response-simulation .github/skills/email-response-simulation && 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 "email-response-simulation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/email-response-simulation into .github/skills/email-response-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "email-response-simulation", 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 extruct-ai/gtm-skills --skill email-response-simulation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install extruct-ai/gtm-skills email-response-simulation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/email-response-simulation .opencode/skills/email-response-simulation && 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 "email-response-simulation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/email-response-simulation into .opencode/skills/email-response-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "email-response-simulation", 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
email-response-simulation- GitHub stars
- 109
- Token cost
- ~2.8k tokens
- SKILL.md length
- 1,058 words
- Files
- 2 (incl. references)
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- None found
At a glance
Deep persona simulation and skeptical buyer review for cold emails.
- Works in 6 steps: Data Enrichment and World Building → Professional Reality → Skeptical Buyer Roast → …
- Would they reply
- SKILL.md covers Related Skills, Scraping Tell Detection, When to Use and Environment, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Email Response Simulation is an agent skill from extruct-ai/gtm-skills. Deep persona simulation and skeptical buyer review for cold emails. Builds a full prospect "world" from LinkedIn + company data, defines their professional reality (KPIs, pain points, inbox behavior), then runs a skeptical buyer roast — emotional reaction first, business evaluation second. One prospect at a time, Tier 1 only. Triggers on: "review email", "copy feedback", "email feedback", "would they reply", "persona review", "check this email", "review this draft", "roast this email", "skeptical buyer".
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/persona-review-template.md`).
It sits in Sales & Support, covering Email writing, Cold outreach and Email management. It works with LinkedIn.
When your agent uses it
- Would they reply
- Check this email
- Review this draft
- Roast this email
Example prompts
- “review email”
- “copy feedback”
- “email feedback”
- “/email-response-simulation”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Data Enrichment and World Building
- Professional Reality
- Skeptical Buyer Roast
- Risk Flags and Refinement
- Output
- Iterate
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 (its code samples are markdown).
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 Response Simulation loads about 2.8k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 134 tokens; SKILL.md has 1,058 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,058 words (~2,804 tokens).
“Simulate a real prospect reading your cold email. Build their world, then roast the email through their eyes.”
- name
- email-response-simulation
Files
SKILL.md and 1 other file (references) in skills/email-response-simulation of extruct-ai/gtm-skills.
- SKILL.md
- references/persona-review-template.md
Open the folder on GitHubat commit 34406cb
Compare with similar skills
Email Response Simulation 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 |
|---|---|---|---|---|---|---|
| Email Response Simulation this skillextruct-ai/gtm-skills | 109 | — | ~2.8k | Automated safety check: Pass | None | |
| Personalize Emailexplorium-ai/gtm-skills | 160 | — | ~2k | Automated safety check: Pass | MIT | |
| Outreachyc-software/recruiting | 116 | — | ~3k | Automated safety check: Notes | None | |
| Cold Outreachericrisco/rsc-harness | 156 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Email ManagerLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.5k | Automated safety check: Pass | MIT | |
| Cold Email Personalizationgtmagents/gtm-agents | 412 | 1 repos | ~853 | Automated safety check: Pass | Apache-2.0 |
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Outreach
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Cold Outreach
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A skill your agent uses when writing a cold email or LinkedIn DM to a stranger and its cadence: first-touch copy under a word ceiling, 4-7 step bump sequences, per-inbox volume and warm-up limits…
Email Manager
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When user asks to write email, draft reply, manage inbox, email template, follow up email, cold email, professional email, email subject line, thank you email, apology email, meeting request email…
Cold Email Personalization
gtmagents/gtm-agents
Writes personalized B2B cold emails from prospect research, using a gated workflow, a quality rubric and follow-up sequences.
Personalization At Scale
manojbajaj95/claude-gtm-plugin
Generate unique personalized first lines for hundreds of prospects using company news, LinkedIn activity, and mutual connections.
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Related
Works with
Categories
Questions about Email Response Simulation
What does Email Response Simulation do?
Deep persona simulation and skeptical buyer review for cold emails. Email Response Simulation is an agent skill from extruct-ai/gtm-skills. Deep persona simulation and skeptical buyer review for cold emails.
When should I use Email Response Simulation?
Email Response Simulation fits situations like: would they reply; check this email; review this draft; roast this email.
How do I install Email Response Simulation in Claude Code?
Run `npx skills add extruct-ai/gtm-skills --skill email-response-simulation -a claude-code`. Or copy the skill folder (skills/email-response-simulation in extruct-ai/gtm-skills) into .claude/skills/email-response-simulation in your project. Claude Code loads it when a task matches its description.
How do I install Email Response Simulation in Codex?
Run `npx skills add extruct-ai/gtm-skills --skill email-response-simulation -a codex`. Or copy the skill folder (skills/email-response-simulation in extruct-ai/gtm-skills) into .agents/skills/email-response-simulation in your project. Codex loads it when a task matches its description.
Can I use Email Response Simulation 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-response-simulation -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-response-simulation, .gemini/skills/email-response-simulation, .github/skills/email-response-simulation and .opencode/skills/email-response-simulation in your project.
What does Email Response Simulation need to run?
SKILL.md names no scripts, command-line tools or credentials: Email Response Simulation is instructions for the agent only.
Does Email Response Simulation 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 Response Simulation 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 Response Simulation use?
No licence was found for Email Response Simulation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Email Response Simulation use?
About 2.8k tokens (SKILL.md is roughly 11k 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 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Email Response Simulation?
Skills that share tags, products or a category with Email Response Simulation: Personalize Email (explorium-ai/gtm-skills, 160 stars), Outreach (yc-software/recruiting, 116 stars), Cold Outreach (ericrisco/rsc-harness, 156 stars) and Email Manager (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Email Response Simulation?
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.