Individual skill

browser-intent

Execute a natural-language browser intent via page-agent (browser_act) when the target is easier to describe than to select — degrades gracefully when page-agent or an OpenAI-compatible LLM provider isn't configured

plugins/ruflo-browser/skills/browser-intent/SKILL.md

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# Browser Intent

Natural-language layer on top of the low-level `browser_*` selector tools. Where `browser-extract` and `browser-form-fill` compose selector-based primitives (`browser_click`, `browser_fill`, `browser_snapshot`), `browser-intent` lets the caller say what they want ("Click the login button", "Fill the search box with cats and submit") and delegates execution to [page-agent](https://github.com/alibaba/page-agent) — in-page injected JS that turns the DOM into text and drives an LLM tool-call loop against it.

## When to use

- The target element is easier to describe in words than to select reliably (dynamic class names, ambiguous structure, A/B-tested markup).
- A one-shot interaction where writing out a selector chain isn't worth it.
- Prefer `browser_click` / `browser_fill` / `browser_snapshot` directly when you already know the exact selector or ref (`@e1`) — `browser_act` adds LLM latency + cost that a direct selector call doesn't.

## Steps

1. **Call `browser_act`** with a `task` string, and optionally `url` (navigates first) and `session` (default `"default"`):
   ```