Agent skill

Personalization Logic

by gtmagents in gtmagents/gtm-agents

A skill your agent uses when defining dynamic content rules, tokens, and conditional offers inside nurture programs.

Apache-2.0Auto-check passed

Install Personalization Logic

skills CLI
$ npx skills add gtmagents/gtm-agents --skill personalization-logic -a claude-code

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

GitHub CLI
$ gh skill install gtmagents/gtm-agents personalization-logic --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/gtmagents/gtm-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/lead-nurture-orchestration/skills/personalization-logic .claude/skills/personalization-logic && 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
personalization-logic
GitHub stars
414
Used in
1 other repo
Token cost
~310 tokens
SKILL.md length
130 words
Files
1
Skills in repo
121
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when defining dynamic content rules, tokens, and conditional offers inside nurture programs.

  • Works in 5 steps: Segmentation Inputs – persona, industry,… → Content Blocks – hero, proof, CTA, offer… → Token Management – define data sources,… → …
  • Defining dynamic content rules
  • SKILL.md covers When to Use, Framework, Templates and Tips
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Personalization Logic is an agent skill from gtmagents/gtm-agents. Use when defining dynamic content rules, tokens, and conditional offers inside nurture programs.

Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Production-ready collection of GTM agents and specialized skills for claude code. Covers sales, marketing, customer success, and revenue operations workflows. The licence is Apache-2.0.

When your agent uses it

  • Defining dynamic content rules
  • Conditional offers inside nurture programs

Example prompts

  • “/personalization-logic”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Segmentation Inputs – persona, industry, product usage, lifecycle stage, engagement history.
  2. Content Blocks – hero, proof, CTA, offer modules with variants per segment.
  3. Token Management – define data sources, fallback values, formatting rules.
  4. Testing Plan – structure A/B/C tests for personalization depth.
  5. Governance – approval workflows, localization, compliance, expirations.

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

Personalization Logic loads about 310 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 130 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~310

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). 130 words, ~310 tokens.

Download SKILL.mdSave it as .claude/skills/personalization-logic/SKILL.md (or your agent's skills folder).
name
personalization-logic
description
Use when defining dynamic content rules, tokens, and conditional offers inside nurture programs.

Nurture Personalization Logic Skill

When to Use

  • Building dynamic content for lifecycle nurtures.
  • Mapping personalization tokens (industry, role, behavior) to copy blocks.
  • Coordinating personalization across email, in-app, ads, and SDR assists.

Framework

  1. Segmentation Inputs – persona, industry, product usage, lifecycle stage, engagement history.
  2. Content Blocks – hero, proof, CTA, offer modules with variants per segment.
  3. Token Management – define data sources, fallback values, formatting rules.
  4. Testing Plan – structure A/B/C tests for personalization depth.
  5. Governance – approval workflows, localization, compliance, expirations.

Templates

  • Personalization matrix (segment vs module vs asset).
  • Token dictionary (field, source, fallback, formatting).
  • QA checklist (seed records, fallback coverage, compliance notes).

Tips

  • Start with modular blocks so ops can update without rewriting entire emails.
  • Document dependencies on upstream data hygiene.
  • Pair with copywriting + design teams for brand consistency.

© 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

Just SKILL.md in plugins/lead-nurture-orchestration/skills/personalization-logic of gtmagents/gtm-agents.

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

Personalization Logic 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.

Personalization Logic compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Personalization Logic this skillgtmagents/gtm-agents4141 repos~310Automated safety check: PassApache-2.0
Dynamic Content Personalizeraaron-he-zhu/aaron-marketing-skills2.9k2 repos~3.5kAutomated safety check: PassApache-2.0
Offerssickn33/agentic-awesome-skills47k1 repos~2.4kAutomated safety check: PassMIT
Offer Appointmentsickn33/agentic-awesome-skills47k1 repos~3.9kAutomated safety check: PassMIT
Dynamic Workflow Modeaffaan-m/ECC276k1 repos~1.3kAutomated safety check: PassMIT
Logical Propertiesthedaviddias/Front-End-Checklist74k—~526Automated safety check: PassMIT

Similar skills

  • Dynamic Content Personalizer

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "personalize the email", "add merge tags / dynamic content", "set up conditional blocks per segment", or "make first-name and product-recommendation…

    2.9k GitHub starsUsed in 2 repos~3.5k tokens
    Marketing & SEOAuto-check passed
  • Offers

    sickn33/agentic-awesome-skills

    When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment…

    47k GitHub starsUsed in 1 repo~2.4k tokens
    Auto-check passed
  • Offer Appointment

    sickn33/agentic-awesome-skills

    Offer register: candidate, position, department, employment type, offered salary and currency, offer date and expiry, joining date, probation, approver and sign-off.

    47k GitHub starsUsed in 1 repo~3.9k tokens
    Auto-check passed
  • Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.

    276k GitHub starsUsed in 1 repo~1.3k tokens
    Auto-check passed
  • Logical Properties

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing stylesheets, component styles, and responsive behavior related to Use CSS logical properties for i18n and RTL support.

    74k GitHub stars~526 tokensUpdated 4 days ago
    Frontend & DesignAuto-check passed
  • Writing Kea Logics

    PostHog/posthog

    Official

    Guide for writing or reviewing PostHog kea logic files (Logic.ts / Logic.tsx).

    40k GitHub stars~2.3k tokensUpdated today
    Frontend & DesignAuto-check passed

More from gtmagents/gtm-agents

All 121 skills in this repo
  • Enrichment Data Sourcing

    gtmagents/gtm-agents

    Chooses and orders data providers for email, phone, company and intent enrichment, with waterfall sequences and credit-saving tactics across 150+ sources.

    414 GitHub starsUsed in 2 repos~2.4k tokens
    Auto-check passed
  • 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.

    414 GitHub starsUsed in 1 repo~853 tokens
    Auto-check passed
  • Discovery Call Playbook

    gtmagents/gtm-agents

    Structures sales discovery calls with a PREP routine, a five-part call flow, a question bank, a qualification scorecard and a follow-up recap email.

    414 GitHub starsUsed in 1 repo~368 tokens
    Auto-check passed
  • Frames marketing automation around lifecycle stages, signals, touches and SLAs, with worksheets for onboarding, expansion, renewal and churn-prevention journeys.

    414 GitHub starsUsed in 1 repo~927 tokens
    Auto-check passed
  • Social Selling

    gtmagents/gtm-agents

    A skill your agent uses when engaging prospects through LinkedIn, communities, and social channels to spark warm conversations and meetings.

    414 GitHub starsUsed in 1 repo~431 tokens
    Auto-check passed
  • Drip Campaigns

    gtmagents/gtm-agents

    A skill your agent uses when you need to map sequenced nurture flows with pacing, storytelling arcs, and value ladders.

    414 GitHub starsUsed in 1 repo~310 tokens
    Auto-check passed

Questions about Personalization Logic

What does Personalization Logic do?

A skill your agent uses when defining dynamic content rules, tokens, and conditional offers inside nurture programs. Personalization Logic is an agent skill from gtmagents/gtm-agents. Use when defining dynamic content rules, tokens, and conditional offers inside nurture programs.

When should I use Personalization Logic?

Personalization Logic fits situations like: defining dynamic content rules; conditional offers inside nurture programs.

How do I install Personalization Logic in Claude Code?

Run `npx skills add gtmagents/gtm-agents --skill personalization-logic -a claude-code`. Or copy the skill folder (plugins/lead-nurture-orchestration/skills/personalization-logic in gtmagents/gtm-agents) into .claude/skills/personalization-logic in your project. Claude Code loads it when a task matches its description.

How do I install Personalization Logic in Codex?

Run `npx skills add gtmagents/gtm-agents --skill personalization-logic -a codex`. Or copy the skill folder (plugins/lead-nurture-orchestration/skills/personalization-logic in gtmagents/gtm-agents) into .agents/skills/personalization-logic in your project. Codex loads it when a task matches its description.

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

What does Personalization Logic need to run?

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

Does Personalization Logic 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 Personalization Logic 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 Personalization Logic use?

Personalization Logic 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 Personalization Logic use?

About 310 tokens (SKILL.md is roughly 1.2k 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 Personalization Logic?

Skills that share tags, products or a category with Personalization Logic: Dynamic Content Personalizer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Offers (sickn33/agentic-awesome-skills, 47k stars), Offer Appointment (sickn33/agentic-awesome-skills, 47k stars) and Dynamic Workflow Mode (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Personalization Logic?

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.