Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add swan-gtm/gtm-skills --skill ai-personalization-promptsgit clone --depth 1 https://github.com/swan-gtm/gtm-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/swan-gtm/gtm-skills/ai-personalization-prompts)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/ai-personalization-prompts"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/ai-personalization-prompts/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/ai-personalization-prompts"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/ai-personalization-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.00648 |
| Opus 5.5 | $0.00030 | $0.00259 |
| Sonnet 5.5 | $0.00015 | $0.00130 |
| Haiku 4.5 | $0.00007 | $0.00065 |
Grade A, and why
ai-personalization-prompts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- ai-personalization-prompts — 89% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Personalization Prompts (lemlist Style)
Quick reference for AI prompts. For full prompts with rules, see references/prompts.md.
Prompt Overview
| # | Prompt | Output | Max Words |
|---|---|---|---|
| 1 | ICP Identification | Top 3 ICPs (job titles) | 3 titles |
| 2 | Company Description | Concise description | 8 words |
| 3 | Similar Product | Product category | 6 words |
| 4 | Top 3 Problems | ICP pain points | 10 words each |
| 5 | Subject Line | Email subject | 2 words |
| 6 | Case Study Reference | Template with variables | N/A |
| 7 | Similar Company Approach | Full email template | N/A |
Quick Usage
Inputs needed: {{companyDomain}} or {{companyDescription}}
Prompt 1-5: Use for variable generation in Clay/lemlist Prompt 6-7: Use as full email templates with AI-generated variables
Output Examples
| Prompt | Input | Output |
|---|---|---|
| ICP ID | "CRM software" | "Sales leaders, RevOps managers and AEs" |
| Description | "frontal.so" | "outbound automation (for B2B sales teams)" |
| Similar | "calendly.com" | "scheduling software" |
| Problems | "HR software" | "slow hiring, poor retention, and compliance gaps" |
| Subject | "analytics platform" | "your metrics" |
Key Rules (All Prompts)
- All lower case output
- No full stops at end
- No sales/buzzwords
- Must fit grammatically in template sentence
Combines with
| Skill | Why |
|---|---|
clay-enrichment-9step |
Run prompts via Claygent |
personalization-6-buckets |
Know what data to feed prompts |
cold-email-templates-34 |
Use outputs in email templates |
frontal-messaging-templates |
Combine with case study template |
Example prompts
Generate ICP identification and top 3 problems for a cybersecurity company.
Create a 2-word subject line for a prospect selling HR software.
Write template #7 (Similar Company Approach) with AI-generated variables for [company].
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 77 lines · 74 tokens per session scan A da60bad4d503
ai-personalization-prompts is a skill published in the GitHub repository swan-gtm/gtm-skills (220 stars, last pushed 7d ago), licensed MIT. It adds 74 tokens to every session and 648 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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