Agent skill

Referral System

by gustavscirulis in gustavscirulis/snapgrid

Generates referral/invite infrastructure with unique codes, deep link sharing, reward tracking, and fraud prevention.

Custom licenceAuto-check: notesMobile

Install Referral System

skills CLI
$ npx skills add gustavscirulis/snapgrid --skill referral-system -a claude-code

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

GitHub CLI
$ gh skill install gustavscirulis/snapgrid referral-system --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/gustavscirulis/snapgrid.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/skills/generators/referral-system .claude/skills/referral-system && 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
referral-system
GitHub stars
116
Used in
1 other repo
Token cost
~2.3k tokens
SKILL.md length
630 words
Files
2
Skills in repo
118
Repo updated
First seen
Licence
Custom licence

At a glance

Generates referral/invite infrastructure with unique codes, deep link sharing, reward tracking, and fraud prevention.

  • Works in 8 steps: Project Context Detection → Conflict Detection → Deep Link Setup Detection → …
  • User wants referral codes
  • SKILL.md covers When This Skill Activates, Pre-Generation Checks, Configuration Questions and Generation Process, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Referral System is an agent skill from gustavscirulis/snapgrid. Generates referral/invite infrastructure with unique codes, deep link sharing, reward tracking, and fraud prevention. Use when user wants referral codes, invite friends flow, or viral growth mechanics.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `templates.md`).

It sits in Mobile. The repository describes itself as: SnapGrid is an open-source Mac app for collecting, organizing, and analyzing UI screenshots. It uses AI to automatically detect UI components and patterns, making it a powerful…

When your agent uses it

  • User wants referral codes
  • Invite friends flow
  • Viral growth mechanics

Example prompts

  • “Use the referral-system skill to generate referral/invite infrastructure with unique codes, deep link sharing, reward tracking, and fraud prevention”
  • “/referral-system”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash, AskUserQuestion

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Project Context Detection
  2. Conflict Detection
  3. Deep Link Setup Detection
  4. Read Templates
  5. Create Core Files
  6. Create UI Files
  7. Create Integration Files
  8. Determine File Location

What it can do on your machine

Read from SKILL.md and the folder at commit eb7eaf4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • Bash
    • AskUserQuestion

    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 swift).

    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

Referral System loads about 2.3k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 630 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Glob, Grep, Bash, AskUserQuestion

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 630 words (~2,313 tokens).

“Generate a production referral/invite system with unique code generation, deep link sharing, reward tracking, fraud prevention, and SwiftUI views for inviting friends and monitoring referral performance.”

— opening of SKILL.md by gustavscirulis, Custom licence
name
referral-system
allowed-tools
Read, Write, Edit, Glob, Grep, Bash, AskUserQuestion

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .claude/skills/skills/generators/referral-system of gustavscirulis/snapgrid.

  • SKILL.md
  • templates.md

Open the folder on GitHubat commit eb7eaf4

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 gustavscirulis/snapgrid, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Referral System 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.

Referral System compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Referral System this skillgustavscirulis/snapgrid1161 repos~2.3kAutomated safety check: NotesCustom licence
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Swiftui Protwostraws/SwiftUI-Agent-Skill5.6k2 repos~1.5kAutomated safety check: PassMIT
Kortix Brandkortix-ai/suna20k—~4kAutomated safety check: PassCustom licence
Ip As LogoKartikLabhshetwar/better-shot2.4k1 repos~4.3kAutomated safety check: PassMIT
Compose Multiplatform Patternsmonta-app/ocpp-emulator1805 repos~2kAutomated safety check: PassApache-2.0

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Categories

Questions about Referral System

What does Referral System do?

Generates referral/invite infrastructure with unique codes, deep link sharing, reward tracking, and fraud prevention. Referral System is an agent skill from gustavscirulis/snapgrid. Generates referral/invite infrastructure with unique codes, deep link sharing, reward tracking, and fraud prevention.

When should I use Referral System?

Referral System fits situations like: user wants referral codes; invite friends flow; viral growth mechanics.

How do I install Referral System in Claude Code?

Run `npx skills add gustavscirulis/snapgrid --skill referral-system -a claude-code`. Or copy the skill folder (.claude/skills/skills/generators/referral-system in gustavscirulis/snapgrid) into .claude/skills/referral-system in your project. Claude Code loads it when a task matches its description.

How do I install Referral System in Codex?

Run `npx skills add gustavscirulis/snapgrid --skill referral-system -a codex`. Or copy the skill folder (.claude/skills/skills/generators/referral-system in gustavscirulis/snapgrid) into .agents/skills/referral-system in your project. Codex loads it when a task matches its description.

Can I use Referral System 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 gustavscirulis/snapgrid --skill referral-system -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/referral-system, .gemini/skills/referral-system, .github/skills/referral-system and .opencode/skills/referral-system in your project.

What does Referral System need to run?

SKILL.md names no scripts, command-line tools or credentials: Referral System is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Bash, AskUserQuestion.

Does Referral System 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 Referral System safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Referral System use?

Referral System has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Referral System use?

About 2.3k tokens (SKILL.md is roughly 9.3k 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 Referral System?

Skills that share tags, products or a category with Referral System: React Native Best Practices (vercel-labs/openreview, 1.7k stars), Swiftui Pro (twostraws/SwiftUI-Agent-Skill, 5.6k stars), Kortix Brand (kortix-ai/suna, 20k stars) and Ip As Logo (KartikLabhshetwar/better-shot, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Referral System?

gustavscirulis (a GitHub user) maintains it in gustavscirulis/snapgrid, which has 116 GitHub stars. The repository holds 118 skills in this directory. The repository was last updated on April 30, 2026.

Source: gustavscirulis/snapgrid on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.