claudecodex

ccam-insights

AI-powered insights for Claude Code — pattern detection, anomaly alerting, optimization recommendations, and session comparison using Agent Monitor analytics.

1,178 on GitHubby Son Nguyenv2.4.6MITupdated todayProductivity
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Plugin ccam-insights from marketplace claude-code-agent-monitor-plugins in hoangsonww/Claude-Code-Agent-Monitor. Commands read from the repo's manifest — today.

What it installs

Skills (6)

  • anomaly-alert

    Identify anomalous sessions using Agent Monitor data — cost outliers from the pricing engine, token anomalies (cache miss spikes, compaction baseline surges), unusual event type ratios (PreToolUse/PostToolUse gaps, APIError clusters), behavioral deviations from workflow intelligence (complexity scor

  • benchmark

    Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric lands as a percentile of the population. Tells you whether a session was normal, cheap, or an outlier. Use

  • optimization-suggest

    Suggest concrete optimizations for Claude Code usage based on historical session data. Covers cost reduction, speed improvement, error prevention, and workflow efficiency. Use for data-driven optimization planning.

  • pattern-detect

    Detect recurring patterns using the Agent Monitor's workflow intelligence — toolFlow transitions (tool A → B frequency matrices), recurring workflow patterns, agent co-occurrence pairs, model delegation habits, error propagation paths by agent depth, and compaction triggers. Use to discover habitual

  • regression-watch

    Detect quality and efficiency regressions over time using Agent Monitor data — rising error rate (APIError events), falling cache hit rate, growing compaction frequency, and climbing cost-per-session. Splits history into an earlier baseline window and a recent window and reports which metrics are ge

  • session-compare

    Compare two sessions side-by-side using Agent Monitor data — per-model token usage (input/output/cache_read/cache_write + compaction baselines), pricing engine cost breakdowns, workflow intelligence (complexity scores, tool flow transitions, subagent effectiveness), session metadata (thinking_blocks

Slash commands (3)

  • /ccam-insights:anomalies

    List current cost and token outlier sessions via z-score

  • /ccam-insights:compare

    Compare two sessions side-by-side with cost and workflow deltas

  • /ccam-insights:insights

    Surface the top 3 data-backed insights about your Claude Code usage right now

Subagents (2)

  • insights-advisor

    Deep analysis agent that uses the full Agent Monitor data model — workflow intelligence (11 datasets per session), token tracking (baselines pre-summed into totals), pricing engine with pattern-matched model rules, session metadata (thinking_blocks, turn_count, turn_duration_ms, usage_extras includi

  • trend-forecaster

    Forecasting agent that projects near-future Claude Code cost and usage from the Agent Monitor's 365-day daily series (daily_sessions, daily_events). Fits a simple moving average plus linear slope, extrapolates the next 7/14/30 days, and flags inflection points where the trend changes direction or ac

View source on GitHub hoangsonww.github.io

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