Content
78%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body with strong progressive disclosure and a clear sequenced workflow. The main weakness is mild verbosity from restated theory and threshold duplication, plus the lack of a complete worked end-to-end example.
Suggestions
Consolidate the cycle-time verdict thresholds (VA% > 25% / 10–25% / < 10%) into one location instead of repeating them in both the Workflow and Scripts sections.
Trim the inline canon citations in the forcing-question library (Goldratt 1984, Rother & Shook, etc.) since the full Lean/Six Sigma canon already lives in references/lean_six_sigma_canon.md.
Add a single end-to-end quick example that runs a sample input JSON through process_documenter.py, bottleneck_detector.py, and cycle_time_analyzer.py with expected output snippets.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and actionable, but restates Lean/Theory-of-Constraints theory inline (e.g., the forcing-question canon citations) and repeats the cycle-time thresholds across the Workflow and Scripts sections. | 4 / 5 |
Actionability | Concrete script flags (--sample, --profile saas/services/manufacturing/healthcare) and detection thresholds (P50 > 2× mean, wait% > 40%, rework% > 15%) are executable, with a copy-paste quick example; the minor gap is no full end-to-end worked example with a real input file run through all three scripts. | 4 / 5 |
Workflow Clarity | A clear five-step sequence (Intake→Map→Measure→Detect→Recommend) with forcing-question gates and verdict thresholds, plus an instrument-first validation gate in Assumption #1; lacks an explicit validate→fix→retry feedback loop, but the task is analytical rather than destructive. | 4 / 5 |
Progressive Disclosure | The body is a well-sectioned overview with one-level-deep, clearly signaled references; all referenced files exist and content is appropriately split (canon in references/, template in assets/, logic in scripts/). | 5 / 5 |
Total | 17 / 20 Passed |