process-optimizer

process-optimizer improves skill development processes by identifying and eliminating inefficiencies, bottlenecks, and waste.

Purpose: Make skill development processes faster and more efficient

The 4 Optimization Operations:

1. Identify Bottlenecks - Find process slowdowns and constraints
2. Discover Automation - Identify automation opportunities
3. Streamline Workflows - Simplify and optimize workflows
4. Implement Improvements - Apply process optimizations

Integration: Uses findings from system-reviewer Operation 3 (Process Efficiency Review)

• Development processes feel slow or inefficient
• After system-reviewer identifies process issues
• When looking to reduce cycle times
• Before scaling to many skills (optimize early)
• Continuous process improvement

Operation 1: Identify Bottlenecks

Purpose: Find steps that slow down development

Process:

1. Map current process (what are the steps?)
2. Measure duration (how long each step?)
3. Identify slowest steps (bottlenecks)
4. Analyze causes (why is it slow?)
5. Prioritize by impact (which to fix first?)

Output: Bottleneck analysis with prioritized fixes

Time: 45-90 minutes

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Operation 2: Discover Automation

Purpose: Identify manual work that could be automated

Process:

1. List manual steps in process
2. Identify repetitive/mechanical work
3. Assess automation feasibility (easy/hard/impossible?)
4. Estimate ROI (time to automate vs time saved)
5. Prioritize automation opportunities

Output: Automation opportunities prioritized by ROI

Time: 45-90 minutes

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Operation 3: Streamline Workflows

Purpose: Simplify processes, eliminate unnecessary steps

Process:

1. Review each workflow step (is it necessary?)
2. Identify redundant work (done twice?)
3. Find unnecessary complexity (simpler approach?)
4. Combine or eliminate steps
5. Design streamlined workflow

Output: Streamlined process with steps eliminated/combined

Time: 60-120 minutes

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Operation 4: Implement Improvements

Purpose: Apply process optimizations discovered

Process:

1. Select high-priority improvement
2. Design implementation (how to apply?)
3. Implement (update workflows, tools, guidelines)
4. Test (does it actually help?)
5. Measure impact (time saved, efficiency gained)

Output: Implemented improvement with measured impact

Time: 1-4 hours (varies by improvement)

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Optimization 1: Automated structure validation

• Before: Manual YAML checking, 30-45 min
• After: validate-structure.py script, 5-10 min automated
• Impact: 75% time reduction, 95% accuracy improvement

Optimization 2: development-workflow

• Before: Ad-hoc skill building, 17-29 hours/skill
• After: Systematic workflow, 12-18 hours/skill
• Impact: 35-40% time reduction, higher quality

Optimization 3: Fast-track approach for simple skills

• Before: Full workflow even for simple skills
• After: Skip task-development, use prompt-first approach
• Impact: 10-15% additional time savings on simple skills

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| Operation | Focus | Time | Output |

|-----------|-------|------|--------|

| Identify Bottlenecks | Find slowdowns | 45-90m | Bottleneck analysis |

| Discover Automation | Find automation opportunities | 45-90m | Automation prioritization |

| Streamline Workflows | Simplify processes | 60-120m | Streamlined workflows |

| Implement Improvements | Apply optimizations | 1-4h | Measured improvements |

Integration: system-reviewer (identifies issues) → process-optimizer (fixes them)

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process-optimizer makes skill development faster and more efficient through systematic process improvement.