bmad-distillator

Compress source documents into a lossless, token-efficient format for LLM consumption.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/JohnnyWang1998/job-market-tracker --skill bmad-distillator-johnnywang1998
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-distillator
Source: https://github.com/JohnnyWang1998/job-market-tracker/tree/main/_bmad/core/skills/bmad-distillator
Command: npx skills add https://github.com/JohnnyWang1998/job-market-tracker --skill bmad-distillator-johnnywang1998

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill tackles the challenge of overwhelming context windows and inefficient LLM processing by creating hyper-compressed, token-efficient versions of source documents.

Core Features & Use Cases

  • Lossless Compression: Preserves all facts, decisions, and relationships from source documents.
  • LLM Optimization: Strips human-readable overhead, making documents ideal for LLM consumption.
  • Use Case: Distill a large product brief and its associated discovery notes into a single, dense document that an LLM can use as sole context for generating a PRD.

Quick Start

Use the bmad-distillator skill to distill the document located at '/path/to/my/document.md'.

Frequently Asked Questions about bmad-distillator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compress documents for LLM context windows without losing information?

Lossless document compression strips human-readable overhead to create dense, token-efficient files, preserving all facts and relationships for LLM consumption. This solves context window limits by optimizing source documents into a hyper-compressed format.

What is lossless LLM-optimized document distillation?

Lossless distillation extracts essential information from source documents into a dense format optimized for LLM processing. It strips human-readable overhead while preserving all facts, decisions, and relationships, ensuring complete round-trip reconstruction.

Can I distill multiple input files into a single context document for an LLM?

Yes, lossless distillation handles multiple input files, combining them into a single dense document. You can distill a large product brief and discovery notes together for an LLM to use as sole context for generating a PRD.

How do I set a token budget when compressing files for LLM processing?

Document distillation supports optional downstream consumer context and token budgets. By specifying these parameters, the compression process formats the dense output to fit specific LLM constraints while maintaining lossless information reconstruction.

Does lossless document compression validate that information is preserved?

Yes, lossless document compression includes validation for lossless round-trip reconstruction. This ensures all facts, decisions, and relationships from source documents are fully preserved during the token-efficient information extraction process.