---
generated: YYYY-MM-DD HH:MM
skill: learning-from-history
analyzed_skill: [skill-name]
sample_size: [N]
date_range: [YYYY-MM-DD to YYYY-MM-DD]
paths:
  - "outputs/[output-dir]/**/*.md"
  - "history/[skill-name]/**/*.md"
---

# Learned Patterns: [Skill Name]

## Analysis Summary
- **Outputs analyzed:** [N] files from history/[skill-name]/
- **Time period:** [Date range]
- **Outcomes tracked:** [M] decision logs with results
- **Confidence:** Patterns based on [N] data points

## Success Patterns (Correlate with Approved/Successful Outputs)

### Pattern 1: [Title]
**Observation:** [What we see in successful outputs]
**Evidence:** [X/Y] successful outputs had this ([%])
**Recommendation:** Default to this pattern

**Example from history:**

### Pattern 2: [Title]
**Observation:** [What we see]
**Evidence:** [X/Y] successful outputs ([%])
**Recommendation:** [What to do]

## Failure Patterns (Correlate with Rejected/Reworked Outputs)

### Anti-Pattern 1: [Title]
**Observation:** [What we see in failed outputs]
**Evidence:** [X/Y] rejected outputs had this ([%])
**Recommendation:** Avoid this pattern

**Example from history:**

### Anti-Pattern 2: [Title]
**Observation:** [What we see]
**Evidence:** [X/Y] rejected outputs ([%])
**Recommendation:** [What to avoid]

## Recommendations for [Skill Name]

Based on analysis of [N] outputs:

1. **[Recommendation 1]:** [Specific guidance]
   - Evidence: [X/Y outputs ([%])]
   - Confidence: Strong/Medium/Weak

2. **[Recommendation 2]:** [Specific guidance]
   - Evidence: [X/Y outputs ([%])]
   - Confidence: Strong/Medium/Weak

3. **[Recommendation 3]:** [Specific guidance]
   - Evidence: [X/Y outputs ([%])]
   - Confidence: Strong/Medium/Weak

## Quality Trends Over Time

| Time Period | Outputs | Approved First Try | Avg Revisions | Quality Trend |
|-------------|---------|-------------------|---------------|---------------|
| [Q1 YYYY] | [N] | [%] | [N] | ↗/→/↘ |
| [Q2 YYYY] | [N] | [%] | [N] | ↗/→/↘ |
| [Q3 YYYY] | [N] | [%] | [N] | ↗/→/↘ |

**Trend:** [Improving / Stable / Declining]
**Why:** [Hypothesis about cause]

## Unknowns / Need More Data

- [Pattern needs more data points to confirm]
- [Outcome data missing for X outputs]
- [Confounding variable Y not tracked]

## Next Analysis
Run this analysis again after [N more outputs] or [time period] to validate patterns.

# Learned Preferences (from history analysis)

## [Skill Name] Preferences
**Last updated:** YYYY-MM-DD
**Based on:** [N] outputs

- User prefers [format/style choice] ([X/Y times, [%]])
- User's typical review cycle: [N rounds before approval]
- User always requests [specific thing] ([observed pattern])
- User's common stakeholders: [Names from stakeholder maps]

## Domain Context
- Key terms user uses: [Terms from outputs]
- User's product area: [Context from outputs]
- User's success metrics: [Metrics user tracks]

---
generated: YYYY-MM-DD HH:MM
skill: learning-from-history
analyzed_skill: [skill-name]
sample_size: [N]
---

# Learning Analysis: [Skill Name]

## Data Analyzed
- **History files:** [N] from history/[skill-name]/
- **Decision logs:** [M] from outputs/decisions/
- **Date range:** [YYYY-MM-DD to YYYY-MM-DD]
- **Outcomes available:** [X/N] outputs have outcome data ([%])

## Methodology
1. Read all files in history/[skill-name]/
2. Extract structural patterns (format, length, sections)
3. Extract content patterns (evidence types, specificity)
4. Cross-reference with decision logs for outcomes
5. Identify correlations between patterns and success/failure
6. Quantify confidence based on sample size

## Key Findings

### Finding 1: [Title]
**Pattern:** [Description]
**Evidence:** [X/Y] successful outputs ([%])
**Confidence:** Strong/Medium/Weak
**Implication:** [What this means for future outputs]

### Finding 2: [Title]
**Pattern:** [Description]
**Evidence:** [X/Y] outputs ([%])
**Confidence:** Strong/Medium/Weak
**Implication:** [What this means]

## Recommended Skill Updates

### Update: `skills/[skill-name]/SKILL.md`

**Section:** [Which section]
**Current instruction:**

**Recommended addition:**

**Rationale:** Analysis of [N] outputs shows [pattern] correlates with success.

## Personal Preferences Detected

- [Preference 1]: Observed in [X/Y] outputs
- [Preference 2]: Observed in [X/Y] outputs
- [Preference 3]: Observed in [X/Y] outputs

## Limitations

- **Small sample:** Only [N] outputs (need [M] for high confidence)
- **Outcome data incomplete:** [X/N] outputs lack outcome tracking
- **Confounding variables:** [Other factors that may explain patterns]
- **Recency bias:** Recent outputs may not reflect long-term patterns

## Next Steps

1. **Apply patterns:** Use learned rules in next [skill-name] execution
2. **Validate:** Track whether patterns improve outcomes
3. **Re-analyze:** After [N more outputs] or [time period]
4. **Update skill:** Implement recommended changes to skill file