agent-estimation

What problem does it solve?

AI coding agents tend to overestimate task duration by anchoring to human development timelines, leading to inflated estimates. This skill forces estimation based on the agent's own operational units (tool call rounds).

Core Features & Use Cases

• Round-based Estimation: Estimates effort in terms of agent "Rounds" (tool call cycles) rather than human time.
• Structured Breakdown: Decomposes tasks into modules, assigns risk factors, and calculates effective rounds.
• Real-time Conversion: Converts estimated rounds into human-readable time at the very end.
• Use Case: When asked to estimate the effort for building a new API endpoint, this skill will break it down into boilerplate, moderate complexity, and integration rounds, applying risk factors to provide a realistic estimate in agent rounds and then converting it to minutes.

Quick Start

Use the agent-estimation skill to estimate the effort required to implement a new feature.