Agent skill

New Visitor Cold Start

by LeoYeAI in LeoYeAI/openclaw-master-skills

Convert first-time store visitors with behavior-based personalization — browse path → preference segment → matched first-order incentive → popup timing including exit intent.

MITAuto-check passedMarketing & SEO

Install New Visitor Cold Start

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill new-visitor-cold-start -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills new-visitor-cold-start --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/new-visitor-cold-start .claude/skills/new-visitor-cold-start && 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
new-visitor-cold-start
GitHub stars
2.2k
Token cost
~770 tokens
SKILL.md length
285 words
Files
10 (incl. scripts, references, assets)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Convert first-time store visitors with behavior-based personalization — browse path → preference segment → matched first-order incentive → popup timing including exit intent.

  • Works in 4 steps: Monitor browse path — Pages viewed,… → Classify user preference — Segment from… → Match first-order offer — Code or… → …
  • The user wants cold-start offers for new visitors
  • SKILL.md covers Core workflow (always in order), Gather context, Mandatory outputs (full run) and Pushy when vague, plus 2 more sections
  • First-purchase coupons tied to what they viewed

What it does

New Visitor Cold Start is an agent skill from LeoYeAI/openclaw-master-skills. Convert first-time store visitors with behavior-based personalization — browse path → preference segment → matched first-order incentive → popup timing including exit intent. Use when the user wants cold-start offers for new visitors, first-purchase coupons tied to what they viewed, exit-intent or timed modals, or onboarding for anonymous traffic before email capture. Steps baked in: monitor path, classify preference, match first-order voucher or gift, set trigger (exit intent and alternatives). Do NOT use for…

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts, reference files and assets (for example `.clawhub/origin.json`, `_meta.json` and `assets/README.md`). Compatibility notes: required: []

It sits in Marketing & SEO, covering Referral and retention marketing. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • The user wants cold-start offers for new visitors
  • First-purchase coupons tied to what they viewed
  • Onboarding for anonymous traffic before email capture
  • (exit intent and alternatives)

Example prompts

  • “/new-visitor-cold-start”

Requirements

  • Compatibility (from SKILL.md): required: []

Workflow steps

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

  1. Monitor browse path — Pages viewed, sequence, time on category/PDP, scroll depth proxy (if described), cart add without checkout.
  2. Classify user preference — Segment from path (e.g. category A explorer, price-sensitive browser, single-SKU deep dive, bouncer on shipping…
  3. Match first-order offer — Code or auto-apply; type (%, fixed, gift, free ship) aligned to segment; guardrails (min order, exclusions).
  4. Set popup / push timing — Exit intent primary; backups (seconds on PDP, second category view, cart abandon on first visit).

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    Ships 1 file in scripts/, which the agent can run.

    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.

  • Compatibility

    required: []

    From compatibility in the SKILL.md frontmatter.

Context cost

New Visitor Cold Start loads about 770 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 173 tokens; SKILL.md has 285 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~173
When it runs · the whole SKILL.md, loaded when a task matches
~770
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 285 words, ~770 tokens.

Download SKILL.mdSave it as .claude/skills/new-visitor-cold-start/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
new-visitor-cold-start
description
Convert first-time store visitors with behavior-based personalization — browse path → preference segment → matched first-order incentive → popup timing including exit intent. Use when the user wants cold-start offers for new visitors, first-purchase coupons tied to what they viewed, exit-intent or timed modals, or onboarding for anonymous traffic before email capture. Steps baked in: monitor path, classify preference, match first-order voucher or gift, set trigger (exit intent and alternatives). Do NOT use for loyalty win-back of existing customers only, post-purchase flows with no first-visit lens, or legal-only coupon policy with no behavioral targeting ask.
compatibility
required: []

New visitor cold-start conversion

You turn first session behavior into a single high-fit first-order offer and clear modal timing so new visitors convert without generic blasts.

Core workflow (always in order)

  1. Monitor browse path — Pages viewed, sequence, time on category/PDP, scroll depth proxy (if described), cart add without checkout.
  2. Classify user preference — Segment from path (e.g. category A explorer, price-sensitive browser, single-SKU deep dive, bouncer on shipping page).
  3. Match first-order offer — Code or auto-apply; type (%, fixed, gift, free ship) aligned to segment; guardrails (min order, exclusions).
  4. Set popup / push timing — Exit intent primary; backups (seconds on PDP, second category view, cart abandon on first visit).

Gather context

  1. Catalog categories and margin-safe discount bands.
  2. Stack rules with other promos.
  3. Compliance: new-customer definition, consent for popup/email.

Read references/cold_start_playbook.md for segment → offer → trigger map.

Mandatory outputs (full run)

A) Path → segment table
Observed path patternPreference labelRationale
e.g. 3 PDPs same categoryCategory intent…
e.g. cart + shipping pageShipping sensitivity…
B) Segment → first-order offer
SegmentFirst-order offerMin order / notes
………
C) Trigger spec
TriggerWhenCopy role
Exit intentMouse leave viewport / mobile back intent proxySave offer + urgency light
Backup 1e.g. 25s on PDPDeep interest
Backup 2e.g. second collection viewBroad interest

Include one modal headline + subline + CTA per primary segment (or one adaptive template with dynamic category name).

Pushy when vague

If user only says "better first-time conversion," still deliver one full row chain: path example → segment → offer → exit-intent line.

When NOT to use

  • Repeat-customer-only campaigns.
  • No first-visit or anonymous context.

Split with other skills

  • LTV win-back — lapsed buyers; this skill is first session.
  • Cart bundle AOV — add-ons; this skill is cold start + first order.

© LeoYeAI, MIT. 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 9 other files (scripts, references, assets) in skills/new-visitor-cold-start of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • .clawhub/origin.json
  • _meta.json
  • assets/README.md
  • evals/README.md
  • evals/evals.json
  • evals/files/README.md
  • references/README.md
  • references/cold_start_playbook.md
  • scripts/README.md

Open the folder on GitHubat commit e5199b5

Compare with similar skills

New Visitor Cold Start 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.

New Visitor Cold Start compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
New Visitor Cold Start this skillLeoYeAI/openclaw-master-skills2.2k—~770Automated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
Referral Programfreekmurze/dotfiles1k17 repos~1.8kAutomated safety check: PassNone
Churn Preventionrongxinzy/RongxinAI1543 repos~2.6kAutomated safety check: PassMIT
100m Leadsgetagentseal/founder-playbook729—~2.3kAutomated safety check: PassMIT
Churn Preventionfreekmurze/dotfiles1k13 repos~4.4kAutomated safety check: PassNone

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Categories

Questions about New Visitor Cold Start

What does New Visitor Cold Start do?

Convert first-time store visitors with behavior-based personalization — browse path → preference segment → matched first-order incentive → popup timing including exit intent. New Visitor Cold Start is an agent skill from LeoYeAI/openclaw-master-skills. Convert first-time store visitors with behavior-based personalization — browse path → preference segment → matched first-order incentive → popup timing including exit intent.

When should I use New Visitor Cold Start?

New Visitor Cold Start fits situations like: the user wants cold-start offers for new visitors; first-purchase coupons tied to what they viewed; onboarding for anonymous traffic before email capture; (exit intent and alternatives).

How do I install New Visitor Cold Start in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill new-visitor-cold-start -a claude-code`. Or copy the skill folder (skills/new-visitor-cold-start in LeoYeAI/openclaw-master-skills) into .claude/skills/new-visitor-cold-start in your project. Claude Code loads it when a task matches its description.

How do I install New Visitor Cold Start in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill new-visitor-cold-start -a codex`. Or copy the skill folder (skills/new-visitor-cold-start in LeoYeAI/openclaw-master-skills) into .agents/skills/new-visitor-cold-start in your project. Codex loads it when a task matches its description.

Can I use New Visitor Cold Start 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 LeoYeAI/openclaw-master-skills --skill new-visitor-cold-start -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/new-visitor-cold-start, .gemini/skills/new-visitor-cold-start, .github/skills/new-visitor-cold-start and .opencode/skills/new-visitor-cold-start in your project.

What does New Visitor Cold Start need to run?

SKILL.md names no scripts, command-line tools or credentials: New Visitor Cold Start is instructions for the agent only. Compatibility (from SKILL.md): required: [].

Does New Visitor Cold Start 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 New Visitor Cold Start 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does New Visitor Cold Start use?

New Visitor Cold Start is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does New Visitor Cold Start use?

About 770 tokens (SKILL.md is roughly 3.1k 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 359 tokens, read only when the agent opens those files.

What are the alternatives to New Visitor Cold Start?

Skills that share tags, products or a category with New Visitor Cold Start: Referrals (coreyhaines31/marketingskills, 54k stars), Referral Program (freekmurze/dotfiles, 1k stars), Churn Prevention (rongxinzy/RongxinAI, 154 stars) and 100m Leads (getagentseal/founder-playbook, 729 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains New Visitor Cold Start?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.