raffle-winner-picker

Solid

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

AI & Automation 27,705 stars 2858 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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... ๐ŸŽ‰ WINNER SELECTE...

Details

Author
davila7
Repository
davila7/claude-code-templates
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content โ€” not just same category