estimate

To estimate software development effort, this Skill analyzes code complexity, scope, dependencies, and historical sprint velocity. It reads design documents and codebase scans to produce structured estimates with optimistic, expected, and pessimistic scenarios.

The best way to plan task effort for a new feature is to invoke this Skill with the feature description. It generates a realistic time and resource estimate by assessing risk factors and dependencies, enabling better project planning and stakeholder communication.

Task effort estimation handles uncertainty by evaluating risk factors and historical data to generate structured output. It provides confidence levels alongside optimistic, expected, and pessimistic scenarios to improve project predictability and reduce uncertainty.

Yes, you can use this estimation tool with existing CLAUDE.md files and sprint data. It requires reading these inputs alongside design documents and codebase scans to inform data-driven effort estimations for software development tasks.

You need a structured effort estimate before starting new feature development to get a realistic time and resource projection. This reduces uncertainty by providing actionable insights, confidence levels, and risk assessments for informed project planning.

Software task estimation requires scanning the codebase and design documents to accurately analyze code complexity, scope, and dependencies. This comprehensive analysis ensures the generated effort estimates are data-driven and reflect actual project risk factors.