metrics-review

Solid

Review key metrics and anomalies

AI & Automation 448 stars 121 forks Updated today NOASSERTION

Install

View on GitHub

Quality Score: 81/100

Stars 20%
88
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
53
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

## Purpose Monitor key metrics, identify anomalies, and document analysis. ## Usage - `/metrics-review` - Review all tracked metrics - `/metrics-review [metric]` - Focus on specific metric --- ## Steps 1. **Identify tracked metrics:** - Search meeting notes for metric discussions - Check 01-Quarter_Goals/Quarter_Goals.md for success metrics - Review project files for KPIs 2. **For each metric:** - Current value - Trend (up/down/stable) - vs. Target - vs. Previous period 3. **Flag anomalies:** - Unexpected changes - Missing data - Concerning trends 4. **Prompt for context:** - What's driving this trend? - Is this expected? - Action needed? 5. **Document insights** --- ## Output Format ```markdown # Metrics Review: [Date] ## Key Metrics ### [Metric Name] - **Current:** [Value] - **vs. Target:** [On track / Behind / Ahead] - **Trend:** ↑/→/↓ - **Analysis:** [Context] ## Anomalies - [Metric]: [Anomaly description] - Cause: [Explanation] ## Action Items - [ ] [Action based on metric insight] ```

Details

Author
davekilleen
Repository
davekilleen/Dex
Created
6 months ago
Last Updated
today
Language
Python
License
NOASSERTION

Integrates with

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category