npx skills add https://github.com/adaptationio/skrillz --skill system-reviewerSKILL.md
System Reviewer
Overview
system-reviewer performs meta-level reviews of the skill development ecosystem itself, assessing the health and effectiveness of the entire system rather than individual skills.
Purpose: Meta-level ecosystem assessment and system optimization
The 5 System Review Operations:
- Ecosystem Health Check - Assess overall ecosystem quality and completeness
- Toolkit Effectiveness Review - Evaluate how well the toolkit works
- Process Efficiency Review - Review development processes for optimization
- Coverage Gap Analysis - Identify missing capabilities or skills
- System Optimization Recommendations - Recommend system-level improvements
Key Distinction: Reviews the SYSTEM, not individual skills
When to Use
- Periodic ecosystem health checks (monthly/quarterly)
- After completing major layers (Layer 2, 3, 4, 5)
- When suspecting systemic issues (not individual skill problems)
- Planning next ecosystem developments
- Optimizing the development system itself
Operations
Operation 1: Ecosystem Health Check
Purpose: Assess overall ecosystem quality, completeness, and consistency
Process:
-
Count and Categorize Skills
- Total skills built
- Skills per layer
- Pattern distribution (workflow/task/reference)
- Completion percentage
-
Assess Structural Quality
- Run review-multi validation on all skills
- Calculate average quality scores
- Identify outliers (very high/low quality)
- Check consistency across ecosystem
-
Evaluate Completeness
- Are all planned layers complete?
- Are there gaps in capabilities?
- Is toolkit comprehensive?
- Missing critical functionality?
-
Check Integration
- Do skills work together well?
- Are there integration issues?
- Workflow compositions effective?
- Dependencies clear and working?
-
Generate Health Report
- Overall health score (healthy/good/needs attention/critical)
- Strengths (what's working well)
- Weaknesses (what needs improvement)
- Trends (improving/stable/degrading)
Outputs:
- Ecosystem health score
- Skill inventory and metrics
- Quality assessment aggregate
- Completeness analysis
- Integration assessment
- Health report with recommendations
Time Estimate: 1-2 hours
Example:
Ecosystem Health Check: 2025-11-07
====================================
Skill Inventory:
- Total Skills: 23
- Layer 2: 10/10 (100%)
- Layer 3: 7/7 (100%)
- Layer 4: 6/6 (100%)
- Layer 5: 0/5 (0%)
Quality Assessment:
- Average Structure Score: 5.0/5.0 (all 23 skills Grade A)
- Quality Range: 5/5 (no variation - excellent consistency)
- Quick Reference Coverage: 100% (all 23 skills)
- Anti-Patterns: 10 total identified, 3 fixed
Completeness:
✅ Research capability: Complete (skill-researcher + research-workflow)
✅ Planning capability: Complete (planning-architect + task-development + planning-workflow)
✅ Execution capability: Complete (todo-management + momentum-keeper)
✅ Quality capability: Complete (review-multi + skill-validator + skill-tester + review-workflow)
✅ Improvement capability: Complete (skill-reviewer + skill-updater + improvement-workflow)
⬜ Self-improvement: 0% (Layer 5 not built)
⬜ Comprehensive testing: Partial (skill-tester exists, testing-validator missing)
Integration Assessment:
✅ Skills compose well (development-workflow, review-workflow, improvement-workflow working)
✅ Dependencies clear (YAML + documentation)
✅ Workflows effective (proven through usage)
Ecosystem Health: ✅ HEALTHY
Strengths:
- 100% structural excellence
- Complete Layers 2-4
- Validated continuous improvement cycle
- 85% efficiency gain proven
Weaknesses:
- Layer 5 incomplete (missing self-improvement automation)
- testing-validator missing (validation incomplete without it)
- Some minor anti-patterns in 4 skills (vague validation criteria)
Trends:
✅ Improving: Efficiency compounding, quality consistent, standards evolving
✅ Stable: Structural quality (all 5/5)
Recommendations:
1. [High] Complete Layer 5 for full self-improvement capability
2. [Medium] Build testing-validator for complete validation suite
3. [Low] Refine vague validation criteria in 4 skills
Operation 2: Toolkit Effectiveness Review
Purpose: Evaluate how well the development toolkit enables skill building
Process:
-
Measure Efficiency Gains
- Build time progression (skills 1-23)
- Efficiency vs baseline
- Time saved calculation
- Trend analysis (improving/plateauing?)
-
Assess Tool Utilization
- Which tools used most? (high value)
- Which tools rarely used? (low value or unknown)
- Which tools most effective? (biggest impact)
- Are there gaps? (missing tools)
-
Evaluate Workflow Effectiveness
- Is development-workflow actually used?
- Does it save time as promised?
- Are workflows followed or bypassed?
- Improvements to workflows needed?
-
*Check Tool Quality
...
Repository
adaptationio/skrillzParent repository
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