v0.1.0-Initial public release

Highlights

Initial tagged release of framework-distillation.

This package helps reverse-engineer open-source frameworks into reusable architecture knowledge for humans and AI, with emphasis on:

• architecture over code
• runtime and lifecycle understanding
• extension mechanisms
• engineering tradeoffs
• reproduction-oriented outputs

Included in this release

Core skill

• SKILL.md for architecture-first framework distillation
• support for mini, standard, and deep analysis modes

Reference material

• output mode definitions
• architecture analysis checklist
• deliverable structure
• self-test notes
• simulated dialogue tests

Documentation improvements

• clearer guidance on how to use generated deliverables
• examples README now explains what to do after generating a distillation
• Chinese README includes matching usage guidance
• sponsor QR code added to README and Chinese README

Recommended usage

Use this skill when you want to:

• understand a framework beyond README and public API
• extract runtime, state, and extension architecture
• compare frameworks by architecture rather than feature lists
• prepare architecture context for AI-assisted implementation
• reproduce similar framework ideas in another language or domain

Key output files after a distillation

Most important artifacts for downstream AI-assisted work:

• 14-knowledge-package.md
• 15-reproduction-guide.md
• 16-ai-simulation-prompt.md

Notes

This is an early release focused on structure, wording, and reusable output guidance.
Behavior and examples will continue to evolve, but the architecture-first direction is already stable enough for practical use.