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Operations management across process optimization, efficiency, and continuous improvement.
Passed 18 of 24 test cases with the skill, and 6 of 24 without it.
and 11 more in the full report
12 fixed6 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Just draft it. Write the exact command line invocation for mapping business processes on `process_steps.csv` requesting JSON output.
| Checked | Without skill | With skill |
|---|---|---|
| Includes python scripts/process_mapper.py --file process_steps.csv --json. | Missed | Passed |
The instructions your model reads when the skill loads.
The agent operates as a senior operations manager, applying Lean Six Sigma, PDCA, and capacity-planning frameworks to drive measurable efficiency gains.
Before generating the plan, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Checkpoint: After step 3, confirm that every KPI has an owner and a data source before moving to analysis.
| Level | Name | Characteristics |
|---|---|---|
| 1 | Reactive | Ad-hoc processes, hero-dependent, crisis management, limited visibility |
| 2 | Managed | Documented processes, basic metrics, standard procedures, some automation |
| 3 | Defined | Consistent processes, performance tracking, cross-functional coordination, continuous improvement |
| 4 | Measured | Data-driven decisions, predictive analytics, optimized workflows, proactive management |
| 5 | Optimized | Self-optimizing systems, innovation culture, industry-leading efficiency, strategic advantage |
| Category | Metric | Formula | Target |
|---|
test cases passed, vs 6 / 24 without
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