Initial commit

skills/baseline-quality-assessment/reference/components.md

@@ -0,0 +1,133 @@
+# Baseline Quality Assessment Components
+
+**Purpose**: V_meta(s₀) calculation components for strong iteration 0
+**Target**: V_meta(s₀) ≥ 0.40 for rapid convergence
+
+---
+
+## Formula
+
+```
+V_meta(s₀) = 0.4 × completeness +
+             0.3 × transferability +
+             0.3 × automation_effectiveness
+```
+
+---
+
+## Component 1: Completeness (40%)
+
+**Definition**: Initial pattern/taxonomy coverage
+
+**Calculation**:
+```
+completeness = initial_items / estimated_final_items
+```
+
+**Achieve ≥0.50**:
+- Analyze ALL available data (3-5 hours)
+- Create 10-15 initial categories/patterns
+- Classify ≥70% of observed cases
+
+**Example (Error Recovery)**:
+```
+Initial: 10 categories (1,056/1,336 = 79.1% coverage)
+Estimated final: 12-13 categories
+Completeness: 10/12.5 = 0.80
+Contribution: 0.4 × 0.80 = 0.32
+```
+
+---
+
+## Component 2: Transferability (30%)
+
+**Definition**: Reusable patterns from prior art
+
+**Calculation**:
+```
+transferability = borrowed_patterns / total_patterns_needed
+```
+
+**Achieve ≥0.30**:
+- Research similar methodologies (1-2 hours)
+- Identify industry standards
+- Document borrowable patterns (≥30%)
+
+**Example (Error Recovery)**:
+```
+Borrowed: 5 industry error patterns
+Total needed: ~10
+Transferability: 5/10 = 0.50
+Contribution: 0.3 × 0.50 = 0.15
+```
+
+---
+
+## Component 3: Automation (30%)
+
+**Definition**: Early identification of high-ROI automation
+
+**Calculation**:
+```
+automation_effectiveness = identified_tools / expected_tools
+```
+
+**Achieve ≥0.30**:
+- Frequency analysis (1 hour)
+- Identify top 3-5 automation candidates
+- Estimate ROI (≥5x)
+
+**Example (Error Recovery)**:
+```
+Identified: 3 tools (all with >20x ROI)
+Expected final: 3 tools
+Automation: 3/3 = 1.0
+Contribution: 0.3 × 1.0 = 0.30
+```
+
+---
+
+## Quality Levels
+
+### Excellent (V_meta ≥ 0.60)
+
+**Achieves**:
+- Completeness: ≥0.70
+- Transferability: ≥0.60
+- Automation: ≥0.70
+
+**Effort**: 6-10 hours
+**Outcome**: 3-4 iterations
+
+### Good (V_meta = 0.40-0.59)
+
+**Achieves**:
+- Completeness: ≥0.50
+- Transferability: ≥0.30
+- Automation: ≥0.30
+
+**Effort**: 4-6 hours
+**Outcome**: 4-5 iterations
+
+### Fair (V_meta = 0.20-0.39)
+
+**Achieves**:
+- Completeness: 0.30-0.50
+- Transferability: 0.20-0.30
+- Automation: 0.20-0.30
+
+**Effort**: 2-4 hours
+**Outcome**: 5-7 iterations
+
+### Poor (V_meta < 0.20)
+
+**Indicates**:
+- Minimal baseline work
+- Exploratory phase needed
+
+**Effort**: <2 hours
+**Outcome**: 7-10 iterations
+
+---
+
+**Source**: BAIME Baseline Quality Assessment

skills/baseline-quality-assessment/reference/quality-levels.md

@@ -0,0 +1,61 @@
+# Baseline Quality Levels
+
+**V_meta(s₀) thresholds and expected outcomes**
+
+---
+
+## Level 1: Excellent (0.60-1.0)
+
+**Characteristics**:
+- Comprehensive data analysis (ALL available data)
+- 70-80% initial coverage
+- Significant prior art borrowed (≥60%)
+- All automation identified upfront
+
+**Investment**: 6-10 hours
+**Outcome**: 3-4 iterations (rapid convergence)
+**Examples**: Bootstrap-003 (V_meta=0.758)
+
+---
+
+## Level 2: Good (0.40-0.59)
+
+**Characteristics**:
+- Thorough analysis (≥80% of data)
+- 50-70% initial coverage
+- Moderate borrowing (30-60%)
+- Top 3 automations identified
+
+**Investment**: 4-6 hours
+**Outcome**: 4-5 iterations
+**ROI**: 2-3x (saves 8-12 hours overall)
+
+---
+
+## Level 3: Fair (0.20-0.39)
+
+**Characteristics**:
+- Partial analysis (50-80% of data)
+- 30-50% initial coverage
+- Limited borrowing (<30%)
+- 1-2 automations identified
+
+**Investment**: 2-4 hours
+**Outcome**: 5-7 iterations (standard)
+
+---
+
+## Level 4: Poor (<0.20)
+
+**Characteristics**:
+- Minimal analysis (<50% of data)
+- <30% coverage
+- Little/no prior art research
+- Unclear automation
+
+**Investment**: <2 hours
+**Outcome**: 7-10 iterations (exploratory)
+
+---
+
+**Recommendation**: Target Level 2 (≥0.40) minimum for quality convergence.

skills/baseline-quality-assessment/reference/roi.md

@@ -0,0 +1,55 @@
+# Baseline Investment ROI
+
+**Investment in strong baseline vs time saved**
+
+---
+
+## ROI Formula
+
+```
+ROI = time_saved / baseline_investment
+
+Where:
+- time_saved = (standard_iterations - actual_iterations) × avg_iteration_time
+- baseline_investment = (iteration_0_time - minimal_baseline_time)
+```
+
+---
+
+## Examples
+
+### Bootstrap-003 (High ROI)
+
+```
+Baseline investment: 120 min (vs 60 min minimal) = +60 min
+Iterations saved: 6 - 3 = 3 iterations
+Time per iteration: ~3 hours
+Time saved: 3 × 3h = 9 hours = 540 min
+
+ROI = 540 min / 60 min = 9x
+```
+
+### Bootstrap-002 (Low Investment)
+
+```
+Baseline investment: 60 min (minimal)
+Result: 6 iterations (standard)
+No time saved (baseline approach)
+ROI = 0x (but no risk either)
+```
+
+---
+
+## Investment Levels
+
+| Investment | V_meta(s₀) | Iterations | Time Saved | ROI |
+|------------|------------|------------|------------|-----|
+| 8-10h | 0.70-0.80 | 3 | 15-20h | 2-3x |
+| 6-8h | 0.50-0.70 | 3-4 | 12-18h | 2-3x |
+| 4-6h | 0.40-0.50 | 4-5 | 8-12h | 2-2.5x |
+| 2-4h | 0.20-0.40 | 5-7 | 0-4h | 0-1x |
+| <2h | <0.20 | 7-10 | N/A | N/A |
+
+---
+
+**Recommendation**: Invest 4-6 hours for V_meta(s₀) = 0.40-0.50 (2-3x ROI).