Process Optimization
Trigger this when someone complains about slow workflows or bottlenecks and it'll walk through a structured analysis: mapping the current state with all the handoffs and wait times, identifying the usual suspects like unnecessary approvals and manual work, then designing a streamlined version with automation and parallelization. You get a before/after comparison with time savings estimates and an implementation plan. The framework is solid, covering the classics like reducing handoffs and eliminating rework. Honestly most useful when you've got a process that everyone knows is broken but nobody has sat down to actually diagram and fix systematically.
- skills.sh installs
- 3.3K
- GitHub stars
- 35.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add anthropics/knowledge-work-plugins --skill process-optimization --agent claude-codeInstalls into .claude/skills of the current project.
Files
Process Optimization
Analyze existing processes and recommend improvements.
Analysis Framework
1. Map Current State
- Document every step, decision point, and handoff
- Identify who does what and how long each step takes
- Note manual steps, approvals, and waiting times
2. Identify Waste
- Waiting: Time spent in queues or waiting for approvals
- Rework: Steps that fail and need to be redone
- Handoffs: Each handoff is a potential point of failure or delay
- Over-processing: Steps that add no value
- Manual work: Tasks that could be automated
3. Design Future State
- Eliminate unnecessary steps
- Automate where possible
- Reduce handoffs
- Parallelize independent steps
- Add checkpoints (not gates)
4. Measure Impact
- Time saved per cycle
- Error rate reduction
- Cost savings
- Employee satisfaction improvement
Output
Produce a before/after process comparison with specific improvement recommendations, estimated impact, and an implementation plan.
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- Repository
- github.com/anthropics/knowledge-work-plugins
- Categories
- Debugging, Automation & Workflows
- First seen
- Apr 16, 2026
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