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Chunking Strategy for RAG

A skill that recommends chunk sizes, overlap ratios, and semantic boundary detection methods for RAG and vector search pipelines.

Data & AnalyticsIntermediate★ 328⑂ 38AI score 8/10Last updated: Jun 22, 2026

What it does

  • Walks through five levels of chunking strategy: fixed-size, recursive character, structure-aware, semantic, and advanced (late/contextual chunking).
  • Gives concrete starting parameters: 256–1024 token chunks, 10–20% overlap, 0.8 similarity threshold, 3–5 sentence buffers.
  • Defines quality targets (cohesion 0.3–0.7, precision ≥ 0.7, recall ≥ 0.6) plus tuning rules when metrics fall short.
  • Lists constraints around compute cost, latency, and memory for large batches.

Who it's for

  • Developers building RAG chatbots or internal document search with weak retrieval quality.
  • AI engineers working with LangChain and vector databases (pgvector, Pinecone, etc.).
  • Data teams embedding mixed content: code, Markdown, PDFs, tables.

Usage examples

  1. "Plan a chunking strategy for our Markdown wiki before embedding" → structure-aware chunking with recommended parameters.
  2. "Retrieval precision is only 0.5" → guided iteration: cut chunk size 25%, adjust overlap, re-measure.
  3. "I want to embed a Python repo" → ast-based function/class-level chunking snippet.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/giuseppe-trisciuoglio/developer-kit/HEAD/plugins/developer-kit-ai/skills/chunking-strategy/SKILL.md

What I want: (describe your task here)

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↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the plugins/developer-kit-ai/skills/chunking-strategy folder from the GitHub repo giuseppe-trisciuoglio/developer-kit into my ~/.claude/skills/chunking-strategy/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/giuseppe-trisciuoglio/developer-kit.git && mkdir -p ~/.claude/skills && cp -r developer-kit/plugins/developer-kit-ai/skills/chunking-strategy ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repo: git clone https://github.com/giuseppe-trisciuoglio/developer-kit.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r developer-kit/plugins/developer-kit-ai/skills/chunking-strategy ~/.claude/skills/
  5. Restart Claude Code and ask something like "recommend a chunking strategy for my RAG pipeline".
  6. To run the validation snippets, install dependencies first: pip install sentence-transformers numpy.
View source on GitHub ↗License: MIT