doncheli-estimatelisted

# Don Cheli: Estimation Engine ## Instructions 1. Read the feature, story or task description 2. Run all 4 estimation models independently (treat each as a separate agent): - **Function Points**: count inputs, outputs, queries, files, interfaces; apply complexity weights - **Planning Poker AI**: 3 independent agents guess simultaneously (pessimist, realist, optimist), then reconcile using Delphi method - **COCOMO II**: classify project size (Organic / Semi-detached / Embedded), apply effort equation - **Historical**: look for comparable past tasks in `.dc/hallazgos.md` and `docs/`; extrapolate velocity 3. Compute the consolidated estimate with 90% confidence interval 4. Flag hidden risks that inflate variance ## Output Format ``` ## Estimation: <feature name> | Model | Estimate | Unit | Confidence | |------------------|------------|------------|------------| | Function Points | X | hours | medium | | Planning Poker | X–Y | story pts | high | | COCOMO II | X | person-days| medium | | Historical | X | days | low/med | **Consolidated:** X–Y days (90% CI) **Key assumptions:** … **Top 3 risks that increase variance:** … ``` ## Quality Gate - All 4 models must be executed; do not skip any - If Historical has no comparable baseline, mark as N/A and explain - If Planning Poker spread > 2x, escalate: ask the user to clarify scope before finalizing ## Do not use this s