bmad-distillator

Compress multiple source documents into a lossless, token-efficient distillate.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/AhmedKaram50/research --skill bmad-distillator-ahmedkaram50
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-distillator
Source: https://github.com/AhmedKaram50/research/tree/main/shopify-builder/_bmad/core/skills/bmad-distillator
Command: npx skills add https://github.com/AhmedKaram50/research --skill bmad-distillator-ahmedkaram50

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill enables lossless compression of multiple source documents into a single, token-efficient distillate. It preserves every fact, decision, constraint, and relationship while removing overhead for LLM-friendly context.

Core Features & Use Cases

  • Deterministic, lossless compression that preserves all source information
  • Supports routing, grouping, and optional semantic splitting for large inputs
  • Round-trip validation is available when requested to ensure fidelity across transformations

Quick Start

Provide one or more source document paths and optional parameters to generate a distillate using the activation flow.

Frequently Asked Questions about bmad-distillator

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

FAQPage Schema
How do I compress multiple documents into a single token-efficient output for LLM context?

To compress multiple documents into a single token-efficient output, provide source document paths and an optional token budget. The process generates a lossless distillate that preserves all source facts for LLM-friendly context.

What is lossless document distillation and how does it preserve source information?

Lossless document distillation is a compression technique that removes overhead while preserving every fact, decision, constraint, and relationship from the source documents. It ensures deterministic, source-preserving compression for downstream workflows.

Can I validate that my compressed distillate retains all the original information?

You can validate your compressed distillate by using the --validate flag. This triggers round-trip checks to ensure fidelity across transformations, verifying that all original source information is retained.

Does document compression support grouping and splitting for large inputs?

Document compression supports routing, grouping, and optional semantic splitting for large inputs. This allows you to manage multiple source documents efficiently while maintaining deterministic, source-preserving compression.

What inputs do I need to generate a token-efficient distillate from my files?

To generate a token-efficient distillate, you need input paths via source_documents and optional parameters including downstream_consumer, token_budget, output_path, and a --validate flag for round-trip checks.