Process optimization
Skill yigityildiz0/universal-ai-skill-library/skills/common/process-optimization
Analyze and improve an existing workflow using evidence about delays, rework, handoffs, failure modes, and constraints. Use for process optimization, operational improvement, bottleneck analysis, reduce rework, or streamline a workflow.From its SKILL.md
npx -y skills add yigityildiz0/universal-ai-skill-library --skill process-optimizationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
3 things to look at
- 21 days oldThe repository was created 21 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
0.9 KB, 116 tokens by cl100k_base, as published. Nobody here has run it
Process Optimization
Improve the limiting step without pushing costs or risks elsewhere.
- Map the current process and measure delay, rework, queue, quality, and owner friction where evidence exists.
- State the bottleneck hypothesis and alternatives; distinguish observation from inference.
- Design the smallest experiment or reversible change that can test it.
- Measure before/after with guardrails for quality, compliance, workload, and user experience.
- Keep, revise, or roll back based on evidence.
Do not automate a broken or unsafe process merely because automation is possible.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.