Display performance analytics dashboard with metrics, trends, and optimization recommendations
Generate comprehensive performance analytics dashboard with learning effectiveness metrics, skill/agent performance trends, quality visualizations, and prioritized optimization recommendations.
/plugin marketplace add bejranonda/LLM-Autonomous-Agent-Plugin-for-Claude/plugin install bejranonda-autonomous-agent@bejranonda/LLM-Autonomous-Agent-Plugin-for-Claudelearn/Generate comprehensive performance analytics report showing learning effectiveness, skill/agent performance trends, quality improvements, and optimization recommendations.
IMPORTANT: When delegating this command to the orchestrator agent, the agent MUST present the complete performance report with charts, metrics, and prioritized recommendations. This command is specifically designed to show comprehensive results to the user. Silent completion is not acceptable.
/learn:performance
The orchestrator MUST present the full performance report. The example output in this file demonstrates the EXACT format expected. Do NOT summarize - show the complete report:
=======================================================
PERFORMANCE ANALYTICS REPORT
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Generated: 2025-10-21 11:30:00
+- Executive Summary ----------------------------------+
| Learning Status: [PASS] Active and highly effective |
| Total Patterns: 47 patterns across 8 task types |
| Quality Trend: ^ +18% improvement (30 days) |
| Pattern Reuse: 67% reuse rate (excellent) |
+------------------------------------------------------+
+- Learning Effectiveness -----------------------------+
| Knowledge Growth: 3.2 patterns/week |
| Coverage: 8/10 common task types |
| Improvement Rate: +1.2 quality points/week |
| Time to Competency: ~5 similar tasks |
+------------------------------------------------------+
+- Skill Performance ----------------------------------+
| pattern-learning ████████████ 92% (12) |
| quality-standards ███████████░ 88% (15) |
| code-analysis ██████████░░ 85% (8) |
| documentation-practices ████████░░░░ 78% (6) |
| testing-strategies ███████░░░░░ 72% (5) |
| |
| Top Combination: pattern-learning + quality -> 94/100|
+------------------------------------------------------+
+- Quality Trends (30 Days) ---------------------------+
| 100 | [X] |
| 90 | [X]--[X]--[X] [X]--[X]-+ |
| 80 | [X]--+ ++ |
| 70 |[X]---+ | (threshold) |
| 60 | |
| +------------------------------------ |
| Week 1 Week 2 Week 3 Week 4 |
| |
| [PASS] Quality improved 23% from baseline (65 -> 92) |
| [PASS] Consistently above threshold for 3 weeks |
| [PASS] 15% improvement after learning 10+ patterns |
+------------------------------------------------------+
+- Top Recommendations --------------------------------+
| 1. [HIGH] Use pattern-learning skill more often |
| -> +12 points avg quality improvement |
| -> 95% success rate (highest) |
| |
| 2. [HIGH] Run quality-controller before completion |
| -> +13 points with quality check vs without |
| -> 88% auto-fix success rate |
| |
| 3. [MED] Delegate testing to test-engineer |
| -> 91% success vs 76% manual |
| -> 35% time savings |
| |
| 4. [MED] Combine pattern-learning + quality skills |
| -> Best combination: 94/100 avg quality |
| |
| 5. [LOW] Archive patterns with reuse_count = 0 |
| -> Free up 15% storage, improve query speed |
+------------------------------------------------------+
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CONCLUSION: Learning system performing excellently
Continue current approach, implement recommendations
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/auto-analyze - Autonomous project analysis/quality-check - Comprehensive quality control/learn-patterns - Initialize pattern learning