browser-deep-research

You can automate deep research across signed-in AI browser providers by normalizing prompts and managing provider-specific run packets for multi-model synthesis tasks. The skill orchestrates authenticated execution while enforcing strict human-in-the-loop approval gates.

Provider normalization standardizes research prompts to ensure consistent execution across different browser-based AI interfaces, such as ChatGPT and Claude, before initiating account-gated research runs. This process enables multi-model synthesis and source traversal.

Yes, it executes authenticated research tasks through signed-in browser-based AI providers. It requires strict adherence to owner-approved browser routes and interaction recipes to access account-gated features safely.

Use human-gated execution to explicitly approve all research runs, cost impacts, and source scopes before the provider executes the task. This prevents unauthorized automated queries and unexpected expenses.

Outputs are captured and organized into a structured, versioned research topic folder. The skill automatically archives provider outputs using canonical topic folder structures for later synthesis.

Browser automation for deep research is limited by the need for strict adherence to owner-approved browser routes and interaction recipes, meaning unauthorized UI changes or unapproved platforms can disrupt provider-specific run packets.