Agent skill

raffle-winner-picker

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

Stars 23,776
Forks 2,298

Install this agent skill to your Project

npx add-skill https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/productivity/raffle-winner-picker

SKILL.md

Raffle Winner Picker

This skill randomly selects winners from lists, spreadsheets, or Google Sheets for giveaways and contests.

When to Use This Skill

  • Running social media giveaways
  • Picking raffle winners at events
  • Randomly selecting participants for surveys or tests
  • Choosing winners from contest submissions
  • Fair distribution of limited spots or resources
  • Random team assignments

What This Skill Does

  1. Random Selection: Uses cryptographically random selection
  2. Multiple Sources: Works with CSV, Excel, Google Sheets, or plain lists
  3. Multiple Winners: Can pick one or multiple winners
  4. Duplicate Prevention: Ensures the same person can't win twice
  5. Transparent Results: Shows the selection process clearly
  6. Winner Details: Displays all relevant information about winners

How to Use

From Google Sheets

Pick a random row from this Google Sheet to select a winner 
for a giveaway: [Sheet URL]

From Local File

Pick 3 random winners from entries.csv

From List

Pick a random winner from this list:
- Alice (alice@email.com)
- Bob (bob@email.com)
- Carol (carol@email.com)
...

Multiple Winners

Pick 5 random winners from contest-entries.xlsx, 
make sure no duplicates

Example

User: "Pick a random row from this Google Sheet to select a winner for a giveaway."

Output:

Accessing Google Sheet...
Total entries found: 247

Randomly selecting winner...

🎉 WINNER SELECTED! 🎉

Row #142
Name: Sarah Johnson
Email: sarah.j@email.com
Entry Date: March 10, 2024
Comment: "Love your newsletter!"

Selection method: Cryptographically random
Timestamp: 2024-03-15 14:32:18 UTC

Would you like to:
- Pick another winner (excluding Sarah)?
- Export winner details?
- Pick runner-ups?

Inspired by: Lenny's use case - picking a Sora 2 giveaway winner from his subscriber Slack community

Features

Fair Selection

  • Uses secure random number generation
  • No bias or patterns
  • Transparent process
  • Repeatable with seed (for verification)

Exclusions

Pick a random winner excluding previous winners: 
Alice, Bob, Carol

Weighted Selection

Pick a winner with weighted probability based on 
the "entries" column (1 entry = 1 ticket)

Runner-ups

Pick 1 winner and 3 runner-ups from the list

Example Workflows

Social Media Giveaway

  1. Export entries from Google Form to Sheets
  2. "Pick a random winner from [Sheet URL]"
  3. Verify winner details
  4. Announce publicly with timestamp

Event Raffle

  1. Create CSV of attendee names and emails
  2. "Pick 10 random winners from attendees.csv"
  3. Export winner list
  4. Email winners directly

Team Assignment

  1. Have list of participants
  2. "Randomly split this list into 4 equal teams"
  3. Review assignments
  4. Share team rosters

Tips

  • Document the process: Save the timestamp and method
  • Public announcement: Share selection details for transparency
  • Check eligibility: Verify winner meets contest rules
  • Have backups: Pick runner-ups in case winner is ineligible
  • Export results: Save winner list for records

Privacy & Fairness

✓ Uses cryptographically secure randomness ✓ No manipulation possible ✓ Timestamp recorded for verification ✓ Can provide seed for third-party verification ✓ Respects data privacy

Common Use Cases

  • Newsletter subscriber giveaways
  • Product launch raffles
  • Conference ticket drawings
  • Beta tester selection
  • Focus group participant selection
  • Random prize distribution at events

Expand your agent's capabilities with these related and highly-rated skills.

davila7/claude-code-templates

verl-rl-training

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.

23,776 2,298
Explore
davila7/claude-code-templates

openrlhf-training

High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.

23,776 2,298
Explore
davila7/claude-code-templates

gguf-quantization

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

23,776 2,298
Explore
davila7/claude-code-templates

Claude Code Guide

Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.

23,776 2,298
Explore
davila7/claude-code-templates

qdrant-vector-search

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

23,776 2,298
Explore
davila7/claude-code-templates

behavioral-modes

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

23,776 2,298
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results