If you're building agent workflows that consume large codebases or documentation sets as context, this is a compression engine worth trying. It takes your source files and produces "distillates," which are hyper-dense, LLM-optimized documents that strip out all the human-readable overhead while keeping every fact, constraint, and relationship intact. The philosophy here is lossless compression, not summarization. You can scope it to a specific downstream use case, set token budgets for automatic splitting, and even run validation tests to verify nothing was lost in translation. With 165 installs and a passing trust audit, it's clearly solving a real problem for teams hitting context limits.

skills.sh installs
163
GitHub stars
55.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add bmad-code-org/bmad-method --skill bmad-distillator --agent claude-code

Installs into .claude/skills of the current project.

Files

If you're building agent workflows that consume large codebases or documentation sets as context, this is a compression engine worth trying. It takes your source files and produces "distillates," which are hyper-dense, LLM-optimized documents that strip out all the human-readable overhead while keeping every fact, constraint, and relationship intact. The philosophy here is lossless compression, not summarization. You can scope it to a specific downstream use case, set token budgets for automatic splitting, and even run validation tests to verify nothing was lost in translation. With 165 installs and a passing trust audit, it's clearly solving a real problem for teams hitting context limits.

Browse the repository on GitHub

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Details

Repository
github.com/bmad-code-org/bmad-method
Category
AI & Agent Building
First seen
Jun 3, 2026

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