Real-world browser-agent benchmark: 210 tasks across 107 websites, multi-agent/multi-browser evaluation, reproducible leaderboard and result submissions.
Use this skill whenever the user describes a benchmark experiment using any combination of these parameters — agent (e.g. browser-use, skyvern), model (e.g. deepseek, minimax, claude, gemini, gpt), data/benchmark (e.g. LexBench-Browser), browser (e.g. Chrome-Local, lexmount), and tasks (specific IDs or "all"). Trigger…
Create and integrate new modular agents for browseruse-bench (BaseAgent in browserusebench/agents/, registry import in init.py, entry in configs/agentregistry.yaml, runtime config in root config.yaml agents section). Use when a user asks to add/register a new agent, scaffold a custom agent, or implement a new agent…
Update Mintlify documentation in docs/ for browseruse-bench, including adding new pages, enforcing .mdx files, and keeping English/Chinese navigation parity. Use when adding or editing docs pages, fixing missing/incorrect language variants, or updating docs/docs.json navigation.
Generate and maintain PR review checklists from GitHub review threads for the current branch PR or a specified PR. Use when you need reviewer comments with exact code locations, nearby code snippets, and raw thread chat logs, and when you want continuously updated .pr/ /reviewchecklist.md and .pr/…
Draft and track fixes for unresolved PR review threads. Use when you need to generate a solution draft markdown for the latest/current PR unresolved threads and keep .pr/ /reviewchecklist.md plus .pr/ /unresolvedchecklist.md checkbox states synchronized as issues are fixed.