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sprint-summary

Summarize a sprint's worth of Claude Code activity — sessions grouped by project (cwd), per-model cost breakdown, token efficiency (cache hit rate, compaction baselines), subagent effectiveness from workflow API, velocity metrics (turn_count, turn_duration_ms), and tool diversity across the sprint.

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  • SKILL.md2.7 KB
  • agents/openai.yaml263 B

SKILL.md(原文)

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Sprint Summary

Generate a sprint summary from Claude Code Agent Monitor data.

Input

The user provides: $ARGUMENTS

This may be:

  • A sprint duration: "last 2 weeks", "last 10 days"
  • A date range: "2025-03-31 to 2025-04-13"
  • "current sprint" (default: last 14 days)

Procedure

  1. Fetch sprint data from http://localhost:4820:

    • GET /api/sessions?limit=500 — all sessions in range (default sort: most recently updated first)
    • GET /api/analytics — aggregated metrics
    • GET /api/pricing/cost — total costs
    • For high-value sessions: GET /api/events?session_id={id} — event details
  2. Compile sprint summary:

    🎯 Sprint Overview

    • Sprint period: [start] to [end]
    • Total sessions: N (completed: N, errored: N, abandoned: N)
    • Total development hours with Claude Code: N
    • Total cost: $X.XX
    • Overall completion rate: N%

    📦 Deliverables

    Group sessions by working directory (project):

    • Project A (/path/to/project)
      • N sessions, N hours, key activities
    • Project B (/path/to/other)
      • N sessions, N hours, key activities

    📊 Velocity Metrics

    MetricSprintPrevious SprintTrend
    Sessions/dayNN↑/↓
    Avg session durationNmNm↑/↓
    Cost/session$N$N↑/↓
    Tokens/sessionNN↑/↓
    Completion rateN%N%↑/↓

    🛠 Technology Breakdown

    • Models used with distribution percentages
    • Top 15 tools by usage with category grouping
    • Subagent utilization rate

    ⚡ Efficiency Analysis

    • Token efficiency: cache hit rate, compaction frequency
    • Cost per completed task
    • Time-to-first-output (avg across sessions)
    • Error recovery rate (sessions that recovered from errors)

    🔄 Retrospective Data Points

    • What went well: Highest-efficiency sessions, best completion rates
    • What could improve: Most expensive sessions, highest error rates
    • Action items: Data-driven suggestions for next sprint

Output Format

Professional sprint report suitable for sharing with team leads or managers:

  • Executive summary paragraph (5 sentences max)
  • Structured data tables with trend indicators
  • Grouped deliverables by project
  • Numbered action items at the end

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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Inspect fired CCAM alerts and manage alert rules for token thresholds, event patterns, inactivity, and status duration. Use when acknowledging alerts, creating or editing a rule, checking cooldowns, or connecting alert rules to webhook targets.

日本語の概要は準備中です。原文の説明を表示しています。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

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 score outliers, error propagation anomalies), and sessions with abnormal metadata (extreme turn_count, high thinking_blocks, zero turn_duration).

日本語の概要は準備中です。原文の説明を表示しています。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

Produce a detailed report on APIError events from Agent Monitor data — counts over time, which sessions and models are affected, and the likely root cause (rate limits, overload/529, or context-window pressure) inferred from each event's summary and data payload. Use when API errors spike or when you need to explain why requests are failing.

日本語の概要は準備中です。原文の説明を表示しています。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

benchmark

無料

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 when judging whether a session was typical or out of band.

日本語の概要は準備中です。原文の説明を表示しています。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

Define a spend budget for Claude Code and, optionally, create a cost alert rule that fires when usage crosses the limit, via POST /api/alerts/rules on the Agent Monitor dashboard. Reads current spend from /api/pricing/cost to size the budget sensibly and explains every rule field before writing. Use when setting a spend limit or wiring up a budget guardrail.

日本語の概要は準備中です。原文の説明を表示しています。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (total_cache_read / (total_cache_read + total_input)), cache_write vs cache_read reuse, cache-read vs cache-write spend, and the sessions with the poorest reuse. Pulls token totals from /api/analytics, per-session detail from /api/sessions, and dollar splits from /api/pricing/cost. Use when diagnosing cache spend or deciding whether prompt caching is paying off.

日本語の概要は準備中です。原文の説明を表示しています。

hoangsonww/Claude-Code-Agent-Monitor1,0692026年10月12日 更新

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