Self Learning Design Library
Description
Retrieval library for LLM-assisted design work: distilled designer style profiles, universal principles, and project history — organized so AI assistants (Claude, GPT, local LLMs) can read relevant context on demand.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
[](#status--april-2026) [](./style-profiles) [](./sources/research/poster-catalog) [](./CREATOR.md) [](./tools/check-layout.py) [](./LICENSE)
**A retrieval library of designer style profiles, composition principles, and project history — written for LLM assistants to read at runtime.**
A structured reference library for working with LLM coding assistants on design tasks. Distilled designer style profiles, composition principles, and project history — organized so an AI assistant (Claude, GPT, local LLMs) can read relevant context on demand.
**Want the autonomous agent?** → [CREATOR.md](CREATOR.md) — describe a poster in one sentence, the agent picks the designer voice, applies the trend layer, renders SVG, self-verifies layout, and opens the preview. No manual composition, no QA on your end. **New here? Prefer manual workflow?** → [QUICKSTART.md](QUICKSTART.md) — make your first piece in 3 minutes with copy-paste recipes. **Want the 2026 visual language?** → [docs/trends-2026.md](docs/trends-2026.md) — 12 current design trends, how to apply, what to avoid. **See the proof?** → [6 themed reference posters](my-works/showcase-themed-2026/) + [7 agent-generated posters](my-works/) across 6 structural archetypes.
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