agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
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
$ npx -y skills add ruvnet/claude-flow --skill browser-intent --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/browser-intentContext preview
The summary Claude sees to decide when to auto-load this skill.
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
name: browser-intent description: 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 argument-hint: "<task-description> [--url <url>] [--session <id>]" allowed-tools: mcp__plugin_ruflo-core_ruflo__browser_act mcp__plugin_ruflo-core_ruflo__browser_open mcp__plugin_ruflo-core_ruflo__browser_snapshot mcp__plugin_ruflo-core_ruflo__browser_close mcp__plugin_ruflo-core_ruflo__aidefence_has_pii mcp__plugin_ruflo-core_ruflo__aidefence_is_safe Bash Read
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.
1. **Call `browser_act`** with a `task` string, and optionally `url` (navigates first) and `session` (default `"default"`):
mcp__plugin_ruflo-core_ruflo__browser_act({
task: "Click the login button",
url: "https://example.com/account",
session: "my-session"
})2. **Read the response contract**:
3. **On `contentFlagged: true`**, the returned `result` has already been redacted by AIDefence (PII or a prompt-injection/threat pattern was detected in the page-agent output) — do not attempt to recover the original text. 4. **Prefer a recorded session** (`browser-record`) when the interaction matters enough to replay later; `browser_act` itself does not open an RVF container — it operates on whatever session id you pass (or `"default"`).
`page-agent` calls its LLM directly from the browser page context via a plain OpenAI-compatible `POST {baseURL}/chat/completions`. That means:
An agent meta-harness for Claude Code and Codex. 📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
Repo: ruvnet/claude-flow
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