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traceme-insights
Multi-day trend analysis — token consumption, session time, and skill usage rankings across projects
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Multi-day trend analysis — token consumption, session time, and skill usage rankings across projects
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Iterative TDD review→fix loop — each round critiques the codebase, fans out agents to fix findings, reviews the un-fixed and judges why, escalates hard calls to the human, runs the test suite before each commit (escalating on failure), and commits. Use when the user wants to drive a codebase to a clean state over multiple automated review/fix rounds.
Internal skill for presenting Codex image generation output
Internal guidance for presenting fabric MCP tool output back to the user
Post-feature sharp review (锐评) —parallel reviewers, merge findings, sync task list
REM sleep for Claude sessions — summarize what changed, update memory, crystallize if needed
Personal observability for Claude Code — daily token/cost reports, tool usage, project stats, encrypted multi-device sync
| name | traceme:insights |
| description | Multi-day trend analysis — token consumption, session time, and skill usage rankings across projects |
Analyze token trends, time distribution, and skill usage across your projects over multiple days.
node "${CLAUDE_PLUGIN_ROOT}/scripts/traceme-cli.mjs" insights # Last 7 days (cross-device)
node "${CLAUDE_PLUGIN_ROOT}/scripts/traceme-cli.mjs" insights --day # Today only
node "${CLAUDE_PLUGIN_ROOT}/scripts/traceme-cli.mjs" insights --month # Last 30 days
node "${CLAUDE_PLUGIN_ROOT}/scripts/traceme-cli.mjs" insights --days 14 # Explicit N days
node "${CLAUDE_PLUGIN_ROOT}/scripts/traceme-cli.mjs" insights --local # Local DB only
node "${CLAUDE_PLUGIN_ROOT}/scripts/traceme-cli.mjs" insights --project NAME # Filter to project
--project)For a fully interactive, graphical view, generate the HTML dashboard:
node "${CLAUDE_PLUGIN_ROOT}/scripts/traceme-cli.mjs" dashboard # Generate & open in browser
node "${CLAUDE_PLUGIN_ROOT}/scripts/traceme-cli.mjs" dashboard --no-open # Write file only
It writes ~/.claude/traceme/dashboard.html and opens it. The page embeds the last 90 days
of data and renders with Apache ECharts (loaded from a CDN — needs internet on first open).
Everything is filtered in-browser, no CLI re-run: pick the date range, filter by one or more
projects and devices (all devices vs. a single device, when sync is set up), switch
grouping by model / project / device / category, toggle the calendar intensity between
billable tokens and cost, and toggle the cache_read layer.
Cross-device: the token/cost/session/calendar/trend views combine the local live DB with each foreign device's synced snapshots. Only tokens/cost/session counts are synced — per-model, tool-category, and skill breakdowns plus "Elapsed" are local-device only (those panels carry a note and the basis/cache_read toggles appear only in single-local-device mode).
Honesty notes baked into the view: the calendar/trend default to billable tokens
(input+output+cache_creation) — re-read cache is excluded unless toggled, so idle big-context
sessions don't look huge; the tool-category chart keeps subagent (actual tokens) separate from
MCP/plugin/builtin (a coarse ≈ result-bytes estimate — not comparable, no shared %); "Elapsed"
is gross wall-clock (includes idle), with sessions bucketed by their start day. Run
traceme rescan --all once to backfill older sessions, then re-run dashboard.
All sections — tokens, session duration, skill usage, and model usage — use the cross-device merged sync snapshot by default (all your machines). Foreign snapshots pushed before a field existed (active_min, skill_usage) contribute 0 for it until that device re-pushes (traceme sync push --all). Pass --local to use this device's data throughout. Tool-category breakdowns remain local-only (not synced).
No prompt text is included in any section of the insights output.