agent-estimation

AI agents overestimate task duration by anchoring to human development timelines. This skill corrects overestimation by forcing effort calculation based on the agent's own operational units, specifically tool call rounds, before converting to wallclock time.

Estimate AI agent effort by decomposing tasks into structured modules, assigning risk factors to each, and calculating effective rounds. This skill automates that breakdown to provide realistic effort estimations in agent operational units.

Scoping AI agent tasks accurately requires structured breakdown and risk assessment. This skill decomposes tasks into boilerplate, moderate complexity, and integration rounds, applying risk factors to prevent inflated effort calculations.

You can convert estimated AI agent tool call rounds into human-readable time. This skill performs the real-time conversion to wallclock minutes as the final step after calculating the effective rounds and applying risk factors.

AI agent task estimation works without external dependencies. This skill relies entirely on its internal references to decompose tasks, apply risk factors, and calculate effort in operational units.

You should not use human time estimates for AI agent tasks when they cause inflated planning. Avoid this by using tool call rounds as the base metric, then converting to wallclock time only after risk assessment.