track-kpis
Calculate and update agentic coding KPIs to measure ZTE progression. Use after completing an ADW cycle to track metrics.
What this skill does
# Track KPIs
Calculate and update agentic coding KPIs to measure ZTE progression.
## Arguments
- `$ARGUMENTS`: State context containing ADW ID, issue info, and workflow history
## Instructions
You are updating the agentic KPI tracking file to measure workflow effectiveness.
### Step 1: Parse State
Extract from arguments or current context:
- `adw_id`: Workflow identifier
- `issue_number`: GitHub issue number
- `issue_class`: Classification (`/chore`, `/bug`, `/feature`)
- `plan_file`: Path to implementation plan
- `all_adws`: List of workflows run (for attempts calculation)
### Step 2: Calculate Attempts
Count only workflows that represent restarts:
```python
attempts_incrementing = ["adw_plan_iso", "adw_patch_iso", "plan", "patch"]
attempts = count(workflow for workflow in all_adws if any(inc in workflow for inc in attempts_incrementing))
```
Build, test, review don't count - only full replans.
### Step 3: Get Plan Size
```bash
wc -l {plan_file}
```
Extract line count as plan_size.
### Step 4: Get Diff Statistics
```bash
git diff origin/main --shortstat
```
Parse output to extract:
- Files changed
- Lines added (+)
- Lines removed (-)
### Step 5: Update Detail Table
Add new row to the KPI detail table:
| Date | ADW ID | Issue | Class | Attempts | Plan Size | Diff +/- | Files |
| --- | --- | --- | --- | --- | --- | --- | --- |
| {today} | {adw_id} | #{issue_number} | {issue_class} | {attempts} | {plan_size} | +{added}/-{removed} | {files} |
### Step 6: Recalculate Summary
**Current Streak:** Count consecutive rows from bottom where Attempts <= 2
**Longest Streak:** Find longest consecutive sequence where Attempts <= 2
**Average Presence:** Mean of all attempts values
**Total Plan Size:** Sum of all plan_size values
**Total Diff Size:** Sum of (added + removed) across all runs
### Step 7: Update KPI File
Write updated summary and detail tables to the KPI file (typically `app_docs/agentic_kpis.md` or project-specific location).
## Output
Report KPI update:
```json
{
"success": true,
"this_run": {
"adw_id": "{adw_id}",
"issue": "{issue_number}",
"attempts": 1,
"plan_size": 45,
"diff_added": 67,
"diff_removed": 23,
"files_changed": 4
},
"summary": {
"current_streak": 6,
"longest_streak": 12,
"average_presence": 1.28,
"total_plan_size": 450,
"total_diff_size": 2340
}
}
```
## Notes
- Lower attempts = better (target: 1)
- Higher streak = better (demonstrates consistency)
- Track trends over time to assess ZTE readiness
- 90%+ success rate (attempts <= 2) indicates ZTE readiness
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