fuzzy-match
CommunityMatch strings with fuzzy logic.
Data & Analytics#entity resolution#data reconciliation#text comparison#fuzzy matching#string similarity#levenshtein distance
Authorpuyanguvic
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of matching strings that are not identical due to spelling variations, typos, or formatting differences, enabling accurate data reconciliation across datasets.
Core Features & Use Cases
- String Similarity: Compares strings using metrics like Levenshtein distance to quantify their similarity.
- Best Match Identification: Finds the closest match for a given string within a list of possibilities.
- Use Case: When merging customer lists from two different sources, this Skill can help match customer records even if one list has "Acme Corporation" and the other has "Acme Corp.".
Quick Start
Use the fuzzy-match skill to find the best match for the string "appel" within the list ["ape", "apple", "peach", "puppy"].
Dependency Matrix
Required Modules
rapidfuzz
Components
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: fuzzy-match Download link: https://github.com/puyanguvic/Argis/archive/main.zip#fuzzy-match Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.