Boof OpenClaw Plugin & Skill | ClawHub

Looking to integrate Boof into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate search & research tasks instantly, without having to write custom tools from scratch.

What this skill does

Convert PDFs and documents to markdown, index them locally for RAG retrieval, and analyze them token-efficiently. Use when asked to: read/analyze/summarize a PDF, process a document, boof a file, extract information from papers/decks/NOFOs, or when you need to work with large documents without filling the context window. Supports batch processing and cross-document queries.

Install

ClawHub CLI

openclaw skills install @chiefsegundo/boof

Node.js (npx)

npx clawhub@latest install boof

Full SKILL.md

Open original

Metadata table.

name	description
boof	Convert PDFs and documents to markdown, index them locally for RAG retrieval, and analyze them token-efficiently. Use when asked to: read/analyze/summarize a PDF, process a document, boof a file, extract information from papers/decks/NOFOs, or when you need to work with large documents without filling the context window. Supports batch processing and cross-document queries.

SKILL.md content below is scrollable.

Boof 🍑

Local-first document processing: PDF → markdown → RAG index → token-efficient analysis.

Documents stay local. Only relevant chunks go to the LLM. Maximum knowledge absorption, minimum token burn.

Powered by opendataloader-pdf — #1 in PDF parsing benchmarks (0.90 overall, 0.93 table accuracy). CPU-only, no GPU required.

Quick Reference

Convert + index a document

bash {SKILL_DIR}/scripts/boof.sh /path/to/document.pdf

Convert with custom collection name

bash {SKILL_DIR}/scripts/boof.sh /path/to/document.pdf --collection my-project

Query indexed content

qmd query "your question" -c collection-name

Core Workflow

Boof it: Run boof.sh on a PDF. This converts it to markdown via opendataloader-pdf (local Java engine, no API, no GPU) and indexes it into QMD for semantic search.
Query it: Use qmd query to retrieve only the relevant chunks. Send those chunks to the LLM — not the entire document.
Analyze it: The LLM sees focused, relevant excerpts. No wasted tokens, no lost-in-the-middle problems.

When to Use Each Approach

"Analyze this specific aspect of the paper" → Boof + query (cheapest, most focused)

"Summarize this entire document" → Boof, then read the markdown section by section. Summarize each section individually, then merge summaries. See advanced-usage.md.

"Compare findings across multiple papers" → Boof all papers into one collection, then query across them.

"Find where the paper discusses X" → qmd search "X" -c collection for exact match, qmd query "X" -c collection for semantic match.

Output Location

Converted markdown files are saved to knowledge/boofed/ by default (override with --output-dir).

Setup

If boof.sh reports missing dependencies, see setup-guide.md for installation instructions (Java + opendataloader-pdf + QMD).

Environment

ODL_ENV — Path to opendataloader-pdf Python venv (default: ~/.openclaw/tools/odl-env)
QMD_BIN — Path to qmd binary (default: ~/.bun/bin/qmd)
BOOF_OUTPUT_DIR — Default output directory (default: ~/.openclaw/workspace/knowledge/boofed)