helixds

The design system an AI agent can use without guessing: React 19, native HTML, Tailwind v4, DTCG tokens, per-component contracts and an…

A new way for AI to search for data
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1GitHub stars

TypeScript, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit aa3432a554 (2026-10-19).

Selected work

Marta Conde
@MartaCondeDesign

“@helixds/mcp runs from npm (npx @helixds/mcp)”. 16 files, 833 lines in packages/mcp, scripts, packages/core.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

accessibilityai-agentscomponent-librarydesign-systemdesign-tokensdtcgmcpreact

Example questions

The prompt

Paste it into your AI agent. It clones MartaCondeDesign/helixds at the pinned commit and indexes it on your machine.

Search the GitHub repository MartaCondeDesign/helixds with XERJ (https://hub.xerj.org/corpus/martacondedesign--helixds).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/MartaCondeDesign/helixds helixds && git -C helixds checkout aa3432a5546eb300e6a1669a86322e407ed21120
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./helixds --url http://127.0.0.1:9200 --prefix helixds --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.