Agent skill
metrics-dashboard
Tracks pipeline velocity, success rates, and cycle times. Use to view performance metrics, identify bottlenecks, and generate reports.
Stars
163
Forks
31
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/metrics-dashboard
SKILL.md
Metrics Dashboard
Aggregates pipeline run data to track velocity, success rates, and identify improvement areas.
Data Sources
runs/*/status.json- Phase timestamps, success/failureruns/*/ticket.json- Ticket metadata- Git history - Commit and PR data
- Notion - Ticket status transitions
Workflow
1. Collect Run Data
bash
find runs/ -name "status.json" -type f | while read f; do
jq -c '{
id: .ticketId,
status: .status,
started: .intakeAt,
completed: .completedAt,
phases: .phaseTimestamps
}' "$f"
done > /tmp/runs-data.jsonl
2. Calculate Metrics
Cycle Time:
bash
jq -s '
map(select(.completed != null)) |
map(.cycleTime = ((.completed | fromdate) - (.started | fromdate)) / 3600) |
{
avgCycleTimeHours: (map(.cycleTime) | add / length),
minCycleTimeHours: (map(.cycleTime) | min),
maxCycleTimeHours: (map(.cycleTime) | max)
}
' /tmp/runs-data.jsonl
Success Rate:
bash
jq -s '{
total: length,
completed: (map(select(.status == "done")) | length),
failed: (map(select(.status == "failed")) | length),
inProgress: (map(select(.status | test("^(implementing|review|pr-created)$"))) | length)
} | .successRate = (.completed / .total * 100)' /tmp/runs-data.jsonl
Phase Duration:
bash
jq -s '
map(.phases) | flatten | group_by(.phase) |
map({phase: .[0].phase, avgMinutes: (map(.durationSeconds) | add / length / 60)})
' /tmp/runs-data.jsonl
3. Generate Dashboard
markdown
# Pipeline Metrics Dashboard
**Period:** Last 30 days | **Generated:** {timestamp}
## Summary
| Metric | Value | Trend |
| ----------------- | ------- | ---------- |
| Tickets Completed | 12 | ↑ +3 |
| Success Rate | 83% | ↑ +5% |
| Avg Cycle Time | 2.5 hrs | ↓ -0.5 hrs |
## Cycle Time Breakdown
Intake ████ 5 min | Research ████████ 15 min | Planning ██████ 10 min
Implement █████████████ 25 min | Quality ████ 8 min | Review ██████ 12 min
## Success by Type
| Type | Count | Success | Avg Time |
| -------- | ----- | ------- | -------- |
| Bug Fix | 5 | 100% | 1.2 hrs |
| Feature | 4 | 75% | 3.5 hrs |
| Refactor | 3 | 67% | 2.8 hrs |
## Failure Analysis
| Failure Point | Count | % |
| ---------------- | ----- | --- |
| Quality gates | 2 | 40% |
| CI failures | 1 | 20% |
| Review rejection | 1 | 20% |
## Recommendations
1. **Reduce implementation time** - Consider more parallel subagents
2. **Improve quality gates** - 40% of failures at this stage
4. Save Dashboard
bash
echo "$DASHBOARD" > "$RUN_DIR/../metrics-$(date +%Y-%m-%d).md"
cat > runs/metrics-summary.json << EOF
{"generatedAt": "$(date -Iseconds)", "period": "30d", "totalRuns": $TOTAL, "successRate": $SUCCESS_RATE, "avgCycleTimeHours": $AVG_CYCLE}
EOF
# Append to history
jq -c '{date: now | strftime("%Y-%m-%d"), metrics: .}' runs/metrics-summary.json >> runs/metrics-history.jsonl
Custom Queries
bash
# Tickets by assignee
jq -s 'group_by(.assignee) | map({assignee: .[0].assignee, count: length})' /tmp/runs-data.jsonl
# Slowest tickets
jq -s 'sort_by(.cycleTime) | reverse | .[0:5]' /tmp/runs-data.jsonl
# Failed at phase
jq -s 'map(select(.status == "failed")) | group_by(.failedAtPhase)' /tmp/runs-data.jsonl
Notion Integration (Optional)
Prompt user before syncing metrics to Notion.
Output Artifacts
| File | Location | Description |
|---|---|---|
| metrics-{date}.md | runs/ |
Point-in-time dashboard |
| metrics-summary.json | runs/ |
Latest metrics JSON |
| metrics-history.jsonl | runs/ |
Historical trends |
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