Agent skill · operations · borghei
operations-manager
Operations management across process optimization, efficiency, and continuous improvement. Use when designing workflows, building capacity plans, evaluating vendors, running Lean Six Sigma DMAIC projects, or optimizing cost-per-unit.
Why this skill is useful
Provides a structured framework for process optimization and efficiency that the AI wouldn't reliably generate on its own.
What it needs
About 9k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Operations Manager The agent operates as a senior operations manager, applying Lean Six Sigma, PDCA, and capacity-planning frameworks to drive measurable efficiency gains. Clarify First Before generating the plan, confirm these inputs. If any is unknown or vague, ASK — do not assume: [ ] The operation/process in scope + its KPIs — drives the baseline measurement (step 3); without a reliable data source per KPI the analysis is guesswork [ ] Target/benchmark each KPI must hit — defines the gap to close (step 4); without it there is no "improvement" to design [ ] Engagement type (process redesign, capacity plan, vendor scorecard, or DMAIC project) — selects which framework and template apply [ ] Hard constraint (budget, headcount, timeline) — bounds the improvement design and pilot scope 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. Workflow 1. Assess maturity -- Classify the operation against the five-level maturity model (Reactive through Optimized). Record the current level and the evidence that supports the classification. 2. Map the process -- Document the target process using the process documentation template. Identify every decision point, handoff, and system dependency. 3. Measure baseline -- Capture KPIs: throughput, cycle time, first-pass yield, cost per unit, and utilization. Validate each metric has a reliable data source before proceeding. 4. Analyze gaps -- Run root-cause analysis (5 Whys or fishbone). Quantify the gap between baseline and target for each KPI. 5. Design improvement -- Propose changes using DMAIC or PDCA. Include a pilot scope, rollback criteria, and expected ROI. 6. Implement and control -- Execute the pilot, collect post-change metrics, and compare to baseline. If improvement meets threshold, standardize; otherwise iterate from step 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/operations-manager