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chunking-strategy

giuseppe-trisciuoglio/developer-kitSkill

Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.

ScannedSkillSource: GitHub
360 stars +2 this week Updated 2mo ago License MIT Context ≈94 tokens always loaded
59popular

Why this score

Stars11/35
Usage (forks)3/15
Upkeep20/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 360 stars are split between them (about 36 each) for scoring.

Popularity score: 59/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit fe73fb33a09e, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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