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documentation for the Plasma design system","maintainers":[{"name":"oa-npmcoveord","email":"oa-npmcoveord@oacvo.com"}],"readme":"# @coveord/plasma-llms\n\nLLM-friendly documentation for the [Plasma design system](https://plasma.coveo.com), Coveo's Mantine-based component library.\n\nInspired by [Mantine's llms.txt guide](https://mantine.dev/guides/llms/), this package generates static documentation files optimised for consumption by AI tools and large language models.\n\n## What's included\n\n| File                        | URL                                                  | Purpose                                                                      |\n| --------------------------- | ---------------------------------------------------- | ---------------------------------------------------------------------------- |\n| `llms.txt`                  | `https://plasma.coveo.com/llms.txt`                  | Index of all components (compact, [llmstxt.org](https://llmstxt.org) format) |\n| `llms-full.txt`             | `https://plasma.coveo.com/llms-full.txt`             | All component docs concatenated into a single file                           |\n| `llms/components/Button.md` | `https://plasma.coveo.com/llms/components/Button.md` | Per-component reference (props, sub-components, design guidelines)           |\n| `llms/content/Voice.md`     | `https://plasma.coveo.com/llms/content/Voice.md`     | Per-guideline reference for user-facing content                              |\n| `plasma-skill.md`           | `https://plasma.coveo.com/plasma-skill.md`           | Portable AI agent skill with Plasma conventions and lookup guidance          |\n\n## Using Plasma with AI coding agents\n\nSee the canonical [AI Coding Agents guide](https://github.com/coveo/plasma#ai-coding-agents) for skill installation, MCP server configuration, and the documentation lookup workflow.\n\n---\n\n## Development\n\n### Regenerating docs\n\n```bash\npnpm turbo run build --filter=@coveord/plasma-llms\n```\n\nThis reads the hand-maintained `.md` files from `src/components/` and `src/content/`, copies them to `dist/llms/` (stripping frontmatter), and assembles `llms.txt`, `llms-full.txt`, and `plasma-skill.md`.\n\nSet `PLASMA_BASE_URL` to override the base URL (default: `https://plasma.coveo.com`):\n\n```bash\nPLASMA_BASE_URL=http://localhost:6006 pnpm build\n```\n\n### Updating component docs\n\nEach component has a hand-maintained `src/components/ComponentName.md` file. These are the source of truth for all LLM-facing documentation.\n\nWhen a component's API changes, use the internal `plasma-component-docs` skill to update the spec. It knows the expected format and conventions. You can also edit the files manually.\n\n### Adding a new component\n\n1. Create `src/components/NewComponent.md` with YAML frontmatter and Markdown content. Use the `plasma-component-docs` skill to generate the initial spec.\n2. Run `pnpm build` to regenerate the dist outputs\n\n### How it works\n\n1. **`src/build.ts`** reads all `*.md` files from `src/components/` and `src/content/`, parses YAML frontmatter, and copies body content to `dist/llms/`\n2. **`src/llms-txt.ts`** builds the index from component and content guideline metadata\n3. **`src/llms-full-txt.ts`** concatenates all component and content guideline docs into one file\n4. **`src/skill.md`** is the source for the AI agent skill served as `plasma-skill.md`; the build replaces its `{{BASE_URL}}` placeholders\n\nDo not edit generated files in `dist/` manually.\n","readmeFilename":""}