
Bmad Distillator
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-codeInstalls 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.
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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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