RevoGrid Pro publishes several documentation formats for AI agents. They all describe the same portal documentation, but serve different retrieval workflows. Start with the smallest source that answers the task, then retrieve more context only when needed.
| Source | Best for | What the agent receives |
| --- | --- | --- |
| llms.txt | First lookup and URL discovery | A compact Markdown index of high-signal guides, API references, demos, and links to larger resources. |
| llms-full.txt | Offline context or a one-shot research task | The complete normalized Markdown documentation corpus. |
| llms-skill.txt | Skill-aware agents that fetch only relevant references | A SKILL.md index that routes the agent to topic-specific reference files. |
| llms-skill/ | Selective, URL-based retrieval | The same split skill index and individual Markdown references under llms-skill/references/. |
| revogrid-pro.skill | Installing reusable RevoGrid documentation context in a supported agent | A downloadable skill archive containing SKILL.md and its split reference files. |
| RevoGrid Pro MCP | Authenticated, task-oriented retrieval for Pro work | Pro-aware docs, examples, feature resolution, migration notes, and typed plugin context. |
llms.txtFetch https://pro.rv-grid.com/llms.txt when the agent needs to find the right RevoGrid page before reading it. The index favors high-signal pages, groups the remaining documentation by topic, and points to the full corpus and skill formats.
This is the best default for an agent that can follow links. It avoids placing the entire documentation corpus into context before the agent knows whether the task concerns Pivot, Gantt, filtering, or a core API.
Read https://pro.rv-grid.com/llms.txt. Find the relevant RevoGrid Pro documentation,then fetch only the pages needed for this task before proposing an implementation.https://pro.rv-grid.com/llms-full.txt contains every portal documentation page as normalized Markdown. Each section includes its portal URL and source path, so an agent can trace guidance back to its documentation page.
Use it for a research or offline workflow that cannot follow many links. Avoid loading it by default if the agent has a limited context window; llms.txt or the split skill is usually more efficient.
The split skill is designed for agents that understand SKILL.md instructions or can fetch Markdown files by URL.
llms-skill.txt returns the root SKILL.md as plain text.llms-skill/ returns the same index and exposes the individual references it links to.revogrid-pro.skill packages that index and all reference files as a downloadable skill archive.The index groups references by product area. Read the index first, then fetch only the referenced Markdown files that match the task. This gives an agent structured guidance without sending unrelated documentation into its context.
Read https://pro.rv-grid.com/llms-skill.txt first. Follow only the references forthe feature I am implementing, and validate API details against local TypeScript types.Use the installable skill when supported
If your agent supports skill archives, install revogrid-pro.skill to make the split documentation available as a reusable local skill. Otherwise, use the public llms-skill.txt URL and reference links directly.
The public files are documentation exports: they are ideal for direct HTTP retrieval and do not require a Pro token. MCP is different—it is an authenticated tool connection for agents that support MCP and need Pro-only examples, feature resolution, migration notes, or typed plugin context.
For setup, token requirements, supported clients, and example prompts, see How to use RevoGrid Pro MCP.
llms.txt or read the installed split skill index.This sequence gives agents quick discovery, focused context, and a final implementation check against the code they are changing.