stats
Workspace metrics dashboard. Tracks growth rate, connection density, pipeline throughput, health score trends, budget consumption, and agent utilization over time. Includes trend detection for spotting degradation or acceleration. Triggers on: "stats", "metrics", "dashboard", "workspace numbers"
Best use case
stats is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Workspace metrics dashboard. Tracks growth rate, connection density, pipeline throughput, health score trends, budget consumption, and agent utilization over time. Includes trend detection for spotting degradation or acceleration. Triggers on: "stats", "metrics", "dashboard", "workspace numbers"
Teams using stats should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/stats/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How stats Compares
| Feature / Agent | stats | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Workspace metrics dashboard. Tracks growth rate, connection density, pipeline throughput, health score trends, budget consumption, and agent utilization over time. Includes trend detection for spotting degradation or acceleration. Triggers on: "stats", "metrics", "dashboard", "workspace numbers"
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# /stats > Workspace metrics dashboard with trend detection. ## Purpose Quantify the state and trajectory of your workspace. Track how fast the knowledge base is growing, how well-connected it is, how much processing throughput the pipeline achieves, whether health is improving or degrading, and how efficiently agents are consuming budget. Designed for weekly reviews and operational awareness. ## Usage ```bash # Full metrics dashboard /stats # Specific metric category /stats growth # Stats for a time period /stats --period 2026-03 # Stats with trend analysis /stats --trends # Compare two periods /stats --compare 2026-02 2026-03 # Export for reporting /stats --format markdown --output monthly-report.md # Agent utilization stats /stats agents ``` ## Arguments | Subcommand | Description | |------------|-------------| | (default) | Full dashboard — all categories | | `growth` | Knowledge base growth metrics | | `connections` | Graph density and connection metrics | | `pipeline` | Processing pipeline throughput | | `health` | Health score trend | | `budget` | Budget consumption and efficiency | | `agents` | Agent utilization and productivity | | Flag | Type | Default | Description | |------|------|---------|-------------| | `--period` | string | `current-month` | Time period: `today`, `this-week`, `YYYY-MM`, date range | | `--trends` | flag | false | Include trend analysis (requires historical data) | | `--compare` | string | — | Compare against another period | | `--format` | enum | `terminal` | `terminal`, `markdown`, `json`, `csv` | | `--output` | path | stdout | Write to file | | `--scope` | string | `all` | `all`, `node:<name>` | ## Workflow 1. **Collect** — Read from metrics store: file counts, timestamps, graph edges, pipeline logs, health history, budget logs, agent logs. 2. **Compute** — Calculate metrics per category: - Growth: files added, words written, claims extracted, net change - Connections: edge count, density (edges/possible edges), avg degree, clustering coefficient - Pipeline: items processed, avg processing time, throughput (items/day) - Health: current score, score history, check pass rate - Budget: tokens consumed, dollars spent, cost per task, cost per claim - Agents: tasks completed, avg task time, idle time, budget efficiency 3. **Trend** — If `--trends`, compute 7-day and 30-day moving averages. Detect: acceleration (metric growing faster), deceleration (slowing), degradation (metric declining), stability. 4. **Compare** — If `--compare`, compute deltas between periods. 5. **Render** — Display in requested format with sparklines for terminal, tables for markdown. ## Output ```markdown ## Workspace Stats — March 2026 ### Growth | Metric | Value | Trend (30d) | |--------|-------|-------------| | Total files | 287 | +34 (+13%) | | Total words | 142,800 | +18,400 (+15%) | | Claims extracted | 891 | +127 (+17%) | | Signals processed | 43 | +12 (+39%) | | Context updates | 28 | +8 (+40%) | ### Connection Density | Metric | Value | Trend | |--------|-------|-------| | Entities | 156 | +14 | | Edges | 423 | +67 (+19%) | | Density | 0.035 | +0.003 | | Avg degree | 5.4 | +0.6 | | Clustering coeff | 0.42 | stable | | Orphan rate | 4.2% | -1.1% (improving) | ### Pipeline Throughput | Metric | Value | Trend | |--------|-------|-------| | Items processed | 43 | — | | Avg processing time | 2m 18s | -12s (improving) | | Throughput | 1.4 items/day | +0.3 | | Pipeline errors | 2 | -1 | | Reduction quality | 0.84 | stable | ### Health Score | Date | Score | Delta | |------|-------|-------| | Mar 20 | 78 | — | | Mar 13 | 72 | +6 | | Mar 06 | 65 | +7 | | Feb 28 | 68 | -3 | Trend: improving (+13 over 30 days) ### Budget (March) | Metric | Value | |--------|-------| | Tokens consumed | 1,234,567 | | Total cost | $42.18 | | Cost per task | $1.84 | | Cost per claim | $0.047 | | Budget utilization | 67% | ### Agent Utilization | Agent | Tasks | Avg Time | Idle % | Budget Eff | |-------|-------|----------|--------|------------| | researcher | 12 | 24m | 18% | 0.89 | | writer | 8 | 38m | 34% | 0.76 | | analyst | 6 | 52m | 22% | 0.71 | | coder | 15 | 18m | 12% | 0.93 | ``` ## Dependencies - Metrics store (historical data, append-only log) - `/health` — Health score data - `/budget` — Budget consumption data - Agent registry — Agent utilization data - Pipeline logs — Throughput data - Knowledge graph — Connection density data
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