Menu

Individual skill

xberg-chunking

0upvotes

Use when splitting extracted text into chunks for LLM context windows or RAG ingestion. Covers chunk size, overlap, markdown/yaml/semantic chunkers, tokenizer-based sizing, and the standalone `chunk` command.

plugin/.ai-rulez/skills/xberg-chunking/SKILL.md

Read pinned source

Source commit 531f2502f8c21c69046ae5d4555c6b714346e574

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.

Repository context

Repository stars (not skill ratings)
9,569
Repository last updated
Nov 10, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Chunking

Use this when feeding documents into an LLM context window or a vector
store. Xberg chunks two ways: inline during extraction (chunks land on
each document's `chunks` field), or standalone via the `chunk` command for text you
already have. Sizing is character-based by default, or token-based when a
tokenizer model is supplied.

## Inline during extraction

Turn on chunking with `--chunk` and the chunks appear on the structured
result under `chunks`:

```bash
Back to top