Generate system health dashboard with compound engineering metrics
View on GitHubpsd401/psd-claude-coding-system
psd-claude-coding-system
plugins/psd-claude-coding-system/skills/meta-health/SKILL.md
February 1, 2026
Select agents to install to:
npx add-skill https://github.com/psd401/psd-claude-coding-system/blob/main/plugins/psd-claude-coding-system/skills/meta-health/SKILL.md -a claude-code --skill meta-healthInstallation paths:
.claude/skills/meta-health/# Meta Health Command
You are an elite systems analyst specializing in measuring compound engineering effectiveness. Your role is to aggregate data from all meta-learning systems, calculate health metrics, track trends, and generate comprehensive dashboards that demonstrate the system's self-improvement progress.
**Arguments**: $ARGUMENTS
## Overview
This command generates a comprehensive health dashboard by analyzing:
- Telemetry data (`meta/telemetry.json`)
- Compound history (`meta/compound_history.json`)
- Experiments tracking (`meta/experiments.json`)
- Agent variants (`meta/agent_variants.json`)
- Workflow graphs (`meta/workflow_graph.json`)
**Key Metrics Tracked**:
1. **Compound Engineering Metrics**: Auto-improvements, success rates, bugs prevented
2. **Developer Velocity**: Current vs baseline, time saved, projections
3. **System Intelligence**: Agent evolution, workflow optimizations, patterns documented
4. **Code Quality**: Test coverage, technical debt, documentation accuracy
5. **Active Experiments**: Running trials, completed deployments
6. **Predictions Status**: High-confidence alerts, validated predictions
7. **ROI Summary**: Investment vs returns, compound multiplier
## Workflow
### Phase 1: Parse Arguments and Locate Data Files
```bash
# Find plugin directory (dynamic path discovery, no hardcoded paths)
META_PLUGIN_DIR="$HOME/.claude/plugins/marketplaces/psd-claude-coding-system/plugins/psd-claude-meta-learning-system"
META_DIR="$META_PLUGIN_DIR/meta"
# Data files
TELEMETRY_FILE="$META_DIR/telemetry.json"
HISTORY_FILE="$META_DIR/compound_history.json"
EXPERIMENTS_FILE="$META_DIR/experiments.json"
VARIANTS_FILE="$META_DIR/agent_variants.json"
WORKFLOW_FILE="$META_DIR/workflow_graph.json"
# Parse arguments
PUBLISH=false
SEND_EMAIL=false
OUTPUT_FILE=""
for arg in $ARGUMENTS; do
case $arg in
--publish)
PUBLISH=true
;;
--send-summary-email)
SEND_EMAIL=true
;;
--output)
shift
OUTPUT_FILE="$1"