monitor

name	monitor
description	KPI monitoring and issue proposal: analyze crash rates, store reviews, and metrics to suggest next priorities
user-invocable	true
disable-model-invocation	true
allowed-tools	["Read","Grep","Glob","Agent","Bash(gh issue create:*)","Bash(gh issue list:*)","TaskCreate","TaskUpdate","TaskList","AskUserQuestion","ToolSearch"]

/monitor — KPI Monitoring & Prioritization (PoC)

Status: Proof of Concept — Requires Firebase MCP, Store API access, and analytics integration. This skill defines the target workflow for fully autonomous AI-driven operations.

Monitor project KPIs and propose next actions based on data.

Steps

1. Crashlytics Analysis (if Firebase configured)

• Use Firebase MCP to fetch recent crash data
• Identify top crashes by frequency and user impact
• For critical crashes (crash-free rate < 99.5%), create GitHub Issues automatically

2. Store Review Analysis (if applicable)

• Collect recent App Store / Google Play reviews
• Perform sentiment analysis: positive / neutral / negative
• Identify recurring complaints or feature requests
• For strong negative trends, create GitHub Issues with user-feedback label

3. Metrics Dashboard

Collect and report on key metrics:

Metric	Source	Threshold
Crash-free rate	Crashlytics	< 99.5% → Issue
D1 Retention	Analytics	< 40% → investigate
D7 Retention	Analytics	< 20% → investigate
D30 Retention	Analytics	< 10% → investigate
Feature usage rate	Analytics	< 5% → consider removal
Conversion rate	Store	declining → investigate

4. Feature Prioritization (2-Axis)

Score potential features on two axes:

Axis 1: User Requests (Qualitative)

• Request volume (votes, mentions, reviews)
• Sentiment intensity
• User segment (free/paid, engagement level)

Axis 2: Metrics (Quantitative)

• Impact on retention
• Impact on conversion
• Impact on crash-free rate
• Development effort (S/M/L)

Rule: Only features where both axes align get proposed. Exception: crash/security fixes act on metrics alone.

5. Issue Proposal

For each recommended action:

gh issue create \
  --title "{priority-label}: {concise description}" \
  --body "{rationale with data points}" \
  --label "ai-proposed,{priority}"

Output Format

## KPI Monitor Report

**Date:** YYYY-MM-DD
**Period:** last 7 days

### Health
| Metric | Current | Trend | Status |
|---|---|---|---|

### Issues Created
| # | Title | Priority | Rationale |
|---|---|---|---|

### Recommended Next Actions
1. ...
2. ...