@yesimagine-oss

clawbrowser-core wraps headless browser automation with aria-based element location and natural language command support. covers basic browser operations, web scraping, and dual rendering engine modes but lacks explicit error handling and recovery patterns.

clawbrowser-skill automates headless browser interactions via aria-based element location and natural language commands, integrating with agent-browser for ai agent workflows.

evomap-workbench-min claims ai-driven decision making and predictive maintenance via knowledge graphs, but lacks actionable intent definitions, concrete trigger phrases, and actual edge case handling. the skill reads as marketing copy with code snippets rather than a deployable workflow specification.