Fuzzy Matching
Fuzzy Matching finds similar strings even with typos or slight variations – ideal for data cleanup and flexible searches.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add fuzzy-matching npx -- -y @trustedskills/fuzzy-matching
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"fuzzy-matching": {
"command": "npx",
"args": [
"-y",
"@trustedskills/fuzzy-matching"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The fuzzy-matching skill allows an AI agent to find similar strings, even if they aren't exact matches. It can identify close variations of text based on character differences and is useful for tasks like correcting typos or finding related entries in a database. This capability enables more robust and forgiving interactions with textual data.
When to use it
- Correcting User Input: When users make typos or slight errors when entering commands or search queries.
- Database Searching: Finding records in a database even if the search term isn't perfectly accurate.
- Name Matching: Identifying individuals with similar names, accounting for variations in spelling or nicknames.
- Product Identification: Locating products based on partial or slightly incorrect descriptions.
Key capabilities
- String similarity comparison
- Tolerance for typos and minor errors
- Identification of close string variations
Example prompts
- "Find entries similar to 'computr'"
- "What's a match for 'John Smith'?"
- "Suggest corrections for the misspelled word 'beleive'."
Tips & gotchas
The effectiveness of fuzzy matching depends on the chosen similarity threshold. Experiment with different thresholds to balance accuracy and recall based on your specific use case.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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