**Skill**: [MQL5→Python Translation Workspace Skill](../SKILL.md)

## Success Metrics

### Validated Indicators (Production-Ready)

**Laguerre RSI v1.0.0**:

- ✅ Correlation: 1.000000 (all 3 buffers)
- ✅ Temporal leakage audit: CLEAN
- ✅ Documentation: Complete (analysis + validation + audit)
- ✅ Test coverage: Comprehensive validation suite
- **Status**: PRODUCTION READY

### Quality Standards

- **Correlation**: ≥0.999 (not 0.95)
- **MAE**: \<0.001
- **NaN Count**: 0 (after warmup)
- **Historical Warmup**: 5000+ bars
- **Documentation**: Algorithm analysis + validation report + temporal audit

### Validation Runs

- **DuckDB Tracking**: All validation runs stored permanently
- **Regression Detection**: Historical comparison enabled
- **Bar-Level Debugging**: Top 100 largest differences stored
- **Reproducibility**: All parameters stored

---

## Version History

**v1.0.0** (2025-10-27)

- Initial skill creation based on 5-agent parallel research
- Comprehensive boundary definition (CAN vs CANNOT)
- 7-phase workflow documentation
- 185+ hours of debugging captured
- Production-ready validation framework (1.000000 correlation)

---

## Skill Maintenance

### When to Update This Skill

- New indicator validated (add to production-ready list)
- New NOT VIABLE approach discovered (add to limitations)
- New gotcha documented (add to lessons learned reference)
- Workflow optimization (update automation percentages)

### Health Check

Run comprehensive validation suite:

```bash
python comprehensive_validation.py --priority ALL --verbose
```

**Target**: 30/32 PASS (2 expected failures: duckdb/numpy missing in macOS Python)

---

**Skill Status**: ✅ PRODUCTION READY
**Last Updated**: 2025-10-27
**Maintenance**: Update when new indicators validated or limitations discovered
