usage-trends
Analyze Claude Code usage trends over time using the Agent Monitor's analytics API — daily session counts, daily event counts, token volumes by type, model distribution, tool usage rankings, and agent/event type distributions across 365-day retention windows.
Profile →npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill usage-trends --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Usage Trends Analyze usage patterns and trends from the Agent Monitor analytics data. ## Input The user provides: **$ARGUMENTS** Options: "last 7 days", "last 30 days", "last quarter", "peak hours", "tool trends", "model usage". ## Data Sources | Endpoint | Returns | |----------|---------| | `GET /api/analytics` | Comprehensive analytics object (see schema below) | | `GET /api/stats` | `{ total_sessions, active_sessions, active_agents, total_agents, total_events, events_today, ws_connections, agents_by_status, sessions_by_status }` | | `GET /api/sessions?limit=200` | Full session records with timestamps and metadata | ### Analytics response schema (`GET /api/analytics`) ```json { "overview": { "total_sessions", "active_sessions", "active_agents", "total_agents", "total_events" }, "tokens": { "total_input": N, "total_output": N, "total_cache_read": N, "total_cache_write": N }, "tool_usage": [{ "tool_name": "...", "count": N }], // top 20 "daily_events": [{ "date": "YYYY-MM-DD", "count": N }], // 365 days "daily_sessions": [{ "date": "YYYY-MM-DD", "count": N }], // 365 days "agent_types": [{ "subagent_type": "task"|"explore"|null, "count": N }], "event_types": [{ "event_type": "Pre
- Input
- Data Sources
- Analytics response schema (GET /api/analytics)
- Trend Analyses to Produce
- 1. Daily Activity Trend
- 2. Token Volume Trends
- 3. Tool Usage Ranking
- 4. Model Distribution
- 5. Session Health Distribution
- 6. Event Type Distribution
- Output
What does the usage-trends skill do?
Analyze Claude Code usage trends over time using the Agent Monitor's analytics API — daily session counts, daily event counts, token volumes by type, model distribution, tool usage rankings, and agent/event type distributions across 365-day retention windows.
How do I install it?
Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill usage-trends --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From hoangsonww/Claude-Code-Agent-Monitor, a repository with 869 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.