Nakshora was the first utility framework built with LLMs as a first-class audience. Nakshora 3.1 ships four machine-readable artifacts:
| Artifact | What it is | Use it for |
|---|---|---|
llms.txt | Concise, spec-compliant framework summary | Agent context, search grounding |
llms-full.md | Complete documentation in one Markdown file | Long-context RAG, offline assistants |
ai/corpus.json | Structured corpus of every utility (11,417 entries) | Embeddings, tool-use catalogs |
ai/sft-train.jsonl | Instruction-tuning pairs | Fine-tuning code models |
Give an agent the framework in one line#
Add to your agent instructions:
"Read https://raw.githubusercontent.com/nakshora/nakshora/main/llms.txt before generating Nakshora markup."Export the corpus yourself#
terminal
npx nakshora export:ai --out corpus.jsonThe corpus shape: { class, css, description, category, example, responsiveExamples[] } for every utility — perfect for embeddings or function-calling catalogs.
Note. This very documentation platform publishes its own
llms.txt and per-version llms-full.md — see the site footer.