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cccskills
免费在 GitHub 公开

repo-onboarding

Understand this repository quickly before making changes. Use for architecture discovery, ownership mapping, command selection, and initial implementation planning.

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包含的文件(4)

  • SKILL.md694 B
  • agents/openai.yaml253 B
  • references/module-map.md362 B
  • references/verification-map.md260 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Repo Onboarding Skill

Workflow

  • Read AGENTS.md, README.md, and ARCHITECTURE.md.
  • Determine target layer: server/, client/, mcp/, or docs.
  • Identify the minimal file set needed for the task.
  • Select verification commands before editing.

Verification defaults

  • Backend: npm run test:server
  • Frontend: npm run test:client
  • MCP: npm run mcp:typecheck and npm run mcp:build

References

  • references/module-map.md
  • references/verification-map.md

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同一仓库的技能

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.

中文简介正在准备中。当前显示原文说明。

hoangsonww/Claude-Code-Agent-Monitor11132026年10月24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).

中文简介正在准备中。当前显示原文说明。

hoangsonww/Claude-Code-Agent-Monitor11132026年10月24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.

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hoangsonww/Claude-Code-Agent-Monitor11132026年10月24日 更新

benchmark

免费

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.

中文简介正在准备中。当前显示原文说明。

hoangsonww/Claude-Code-Agent-Monitor11132026年10月24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.

中文简介正在准备中。当前显示原文说明。

hoangsonww/Claude-Code-Agent-Monitor11132026年10月24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.

中文简介正在准备中。当前显示原文说明。

hoangsonww/Claude-Code-Agent-Monitor11132026年10月24日 更新

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