Summary
The Discovery phase currently relies on the Scout agent to research and gather information. An Analytics agent would complement Scout by analyzing quantitative data — market size, competitor metrics, user demographics, and trend data — to strengthen the discovery process with data-driven insights.
Suggested Approach
- Create a new agent definition file in the Discovery phase directory
- Use the
new_agent.md issue template as a guide for defining input/output contracts
- Consider using Haiku 4.5 for cost efficiency since this agent will be invoked frequently during discovery sweeps
- The agent should accept raw data sources (URLs, CSVs, API endpoints) and output structured analysis summaries
Acceptance Criteria
Resources
- Review existing Scout agent for patterns
- Check
new_agent.md template for required fields
Summary
The Discovery phase currently relies on the Scout agent to research and gather information. An Analytics agent would complement Scout by analyzing quantitative data — market size, competitor metrics, user demographics, and trend data — to strengthen the discovery process with data-driven insights.
Suggested Approach
new_agent.mdissue template as a guide for defining input/output contractsAcceptance Criteria
Resources
new_agent.mdtemplate for required fields