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commands/content-score-all.md

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+---
+description: "Apply automated 3-framework scoring to all content variations"
+---
+
+# Score All Content Variations
+
+## Mission
+
+Apply automated framework-based scoring (Gap Selling + Munger Biases + Decision Framework) to all content variations in content-drafts.md, calculating total scores with detailed breakdowns.
+
+## Process
+
+Follow the Scorer agent instructions (`agents/scorer.md`) to:
+
+1. **Read all content variations** from content-drafts.md
+2. **Apply 3-framework scoring** with mathematical formulas
+3. **Calculate total scores** (out of 30)
+4. **Update content-drafts.md** with complete score breakdowns
+
+## Execution Steps
+
+### Step 1: Read Content from content-drafts.md
+
+**Location**: `/home/rpiplewar/fast_dot_ai/poasting/content-drafts.md`
+
+**Identify**:
+- All content variations awaiting scoring
+- Look for `[To be filled by Scorer agent]` placeholders
+- Extract content text and bias targeting info
+
+### Step 2: Score Each Variation
+
+**For each content piece, calculate**:
+
+#### Framework 1: Gap Selling (0-10 points)
+- **Problem Clarity** (0-3): Is problem explicit and relatable?
+- **Emotional Impact** (0-3): Is pain point vivid and resonant?
+- **Solution Value** (0-4): Is future state compelling and actionable?
+
+#### Framework 2: Cognitive Biases (0-10+ points)
+- **Count activated biases** from Munger's 25
+- **Lollapalooza bonus**: +2 if 5+ biases converge
+- **List specific biases** detected
+
+#### Framework 3: Decision Framework (0-10 points)
+- **Hook Strength** (0-3): Does first line grab attention?
+- **Content Value** (0-4): Are insights actionable and transferable?
+- **CTA Clarity** (0-3): Is next step crystal clear?
+
+**Total Score = Gap (0-10) + Biases (0-10+) + Decision (0-10)**
+
+### Step 3: Assign Pass/Fail Verdict
+
+**Quality Thresholds**:
+- **< 20**: ❌ FAIL (filter out)
+- **20-24**: ✅ PASS (needs improvement)
+- **25-27**: ✅ PASS (GOOD)
+- **28-30**: ✅ PASS (EXCELLENT)
+
+### Step 4: Update content-drafts.md
+
+**Replace** `[To be filled by Scorer agent]` with:
+
+```markdown
+**Scores:**
+- Gap Selling: X/10 (Problem: X/3, Impact: X/3, Solution: X/4)
+- Biases Activated: Y (List: Bias1, Bias2, Bias3...)
+- Decision Framework: Z/10 (Hook: X/3, Value: X/4, CTA: X/3)
+- **TOTAL: XX/30** {✅ PASS or ❌ FAIL}
+```
+
+## Validation Checklist
+
+Before marking scoring complete:
+
+- [ ] All variations scored
+- [ ] All subscores documented with reasoning
+- [ ] Bias lists include specific bias names (not just count)
+- [ ] Lollapalooza bonus applied where applicable (5+ biases)
+- [ ] Pass/Fail verdicts assigned (< 20 = FAIL, ≥ 20 = PASS)
+- [ ] content-drafts.md updated with complete scores
+- [ ] Scoring formulas followed exactly per scorer.md
+
+## Example Output
+
+```
+✅ Scoring Complete
+
+Variations Scored: 25 (5 themes × 5 variations)
+
+Score Distribution:
+- EXCELLENT (28-30): 3 pieces
+- GOOD (25-27): 8 pieces
+- PASS (20-24): 10 pieces
+- FAIL (< 20): 4 pieces
+
+Pass Rate: 84% (21/25)
+
+Highest Scoring:
+1. Theme: First Money From Code, Variation 1 (Bold Statement) - 28/30
+2. Theme: The Quit Day, Variation 5 (Lollapalooza) - 27/30
+3. Theme: Personal Pain → Product, Variation 2 (Story Hook) - 26/30
+
+Output File: content-drafts.md (updated with all scores)
+
+Next Step: Run /content-critic-review for quality feedback
+```
+
+## Error Handling
+
+**If scoring logic unclear**:
+- Refer to detailed rubrics in `agents/scorer.md`
+- Use examples as reference
+- Document edge cases for future refinement
+
+**If scores seem inaccurate**:
+- Cross-check against manual evaluation
+- Verify detection patterns
+- Adjust formulas if systematic drift detected
+
+## Accuracy Targets
+
+**Goal**: Within ±2 points (10% margin) of manual expert evaluation
+
+**If accuracy drifts**:
+- Review scoring logic against actual performance
+- Adjust detection patterns
+- Document refinements in scorer.md
+
+## Next Steps
+
+After successful scoring:
+
+1. Review score distribution in content-drafts.md
+2. Run `/content-critic-review` to get improvement suggestions
+3. Or continue with full pipeline if running `/content-full-pipeline`