Generates data-driven time estimates and risk assessments for coding tasks before implementation begins.
The ETA skill optimizes developer and product workflows by providing realistic, data-driven time estimates for coding tasks. By analyzing the codebase scope and categorizing task complexity—from trivial fixes to major features—it helps prevent scope creep and unexpected delays. The skill automatically identifies risk factors, calculates low-to-high time ranges, and suggests logical checkpoints for long-duration tasks, ensuring both developers and stakeholders have clear expectations before work starts.
Key Features
01Visible risk factor flagging with explanations for high-complexity changes
0249 GitHub stars
03Smart checkpoint recommendations for tasks exceeding 30 minutes
04Automated codebase scope analysis including files, lines, and test coverage
05Detailed phase breakdowns for analysis, implementation, and testing
06Data-driven time ranges with low and high estimates for better planning
Use Cases
01Analyzing the scope of refactoring tasks to set realistic stakeholder expectations
02Planning sprint timelines by generating estimates for a list of bug fixes and enhancements
03Estimating the effort required to implement complex features like user authentication
