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Time Guru

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
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在 OpenClaw 中安装
/install time-guru
功能描述
Natural language time tracking with smart activity classification, multi-dimensional reports, productivity analytics, and billing.
使用说明 (SKILL.md)

Time Guru Skill

Zero-friction time tracking driven by natural language. Log activities by simply describing what you did. Get daily/weekly reports, productivity analysis, and billing summaries without remembering to start/stop timers.

Core Capabilities

  • Natural Language Logging: "9点到11点写代码", "下午开了两小时的会"
  • Instant Timer: start/stop commands with auto-duration
  • Retroactive Entry: Fill in past activities with fuzzy time parsing
  • Smart Classification: Auto-categorize activities (dev, meeting, learning, etc.)
  • Multi-Dimensional Reports: Daily, weekly, monthly, custom range
  • Productivity Analytics: Peak hours, interruptions, deep work tracking
  • Project/Customer Billing: Hourly rate × hours, exportable invoices
  • Goal Tracking: Set daily/weekly time targets and monitor progress

Privacy & Storage

  • All data stored locally at ~/.openclaw/data/time-guru/
  • Organized as YYYY/MM/DD.json files (one day per file)
  • Daily auto-backup (keeps last 7 backups)
  • LLM only receives individual activity descriptions for parsing, never the full log

Usage

clawhub run time-guru \x3Caction> [options]

Actions

Action Description Example
log Log one or more activities log "9-11写代码, 11-12开会"
start Start a timer start "写周报" --project report
stop Stop the active timer stop
report Generate time report report --period today
analyze Productivity analysis analyze --period this_week
goal Set/check time goals goal set development 4h/day
project Project time summary project list

Report Options

Option Type Default Description
--period enum today today, yesterday, this_week, last_week, this_month, last_month, custom
--date-from date Custom range start
--date-to date Custom range end
--group-by enum category category, project, day, week
--output-format enum text text, json, csv, markdown
--billing bool false Include billing info

Sample Prompts

1. Natural language log (most common)

clawhub run time-guru log "9点到11点写后端API,11点到12点开需求评审会"
# → ✅ 2 activities logged
#   ⏱ 09:00-11:00 (2h) 开发 · 写后端API
#   ⏱ 11:00-12:00 (1h) 会议 · 需求评审会
#   📊 Today: 3h total

2. Instant timer mode

clawhub run time-guru start "写周报" --project company-report
# → ▶️ Timer started: 写周报 [company-report] @ 14:03
# ... later ...
clawhub run time-guru stop
# → ⏹ Stopped: 写周报 | Duration: 45 minutes

3. Daily report

clawhub run time-guru report --period today
# → 📊 Today's Time Report (Mon 2026-06-14)
#   Development  ████████████████████ 4.5h (52.9%)
#   Meeting      ██████████▌          2.0h (23.5%)
#   Documentation ██████               1.0h (11.8%)
#   Break        ██████               1.0h (11.8%)
#   💰 Billable: 6.5h × ¥500/h = ¥3,250

4. Weekly productivity analysis

clawhub run time-guru analyze --period this_week
# → 📈 Weekly Analysis
#   🔥 Peak hours: 09:00-11:00 (34% of output)
#   🧠 Deep work: 12.5h this week (↑ 15% vs last week)
#   ⚠️ Task switches: 7/day (high)
#   💡 Recommendation: Block 14:00-16:00 for meetings

5. Billing report

clawhub run time-guru report --period this_month --billing
# → 💰 Monthly Billing (June 2026)
#   Project A (XYZ Corp) · 35h × ¥500 = ¥17,500
#   Project B (ABC Inc)  · 22h × ¥600 = ¥13,200
#   Internal             · 18h × ¥0   = ¥0
#   ────────────────────────────────────────
#   Total billable: ¥30,700

First-Success Path

Step 1: Install → clawhub install time-guru
Step 2: Log → clawhub run time-guru log "刚才一直在写代码2小时"
Step 3: Confirm → see activity logged with auto-classification
Step 4: Report → clawhub run time-guru report --period today
Step 5: Insight → see where time went → habit-forming value

Core Scripts

File Purpose
scripts/__init__.py Package init
scripts/nl_parser.py Natural language time parsing
scripts/timer.py Start/stop timer management
scripts/logger.py Data persistence (JSON files)
scripts/classifier.py Activity auto-classification
scripts/reporter.py Daily/weekly/monthly reports
scripts/analyzer.py Productivity analysis engine
scripts/goal_tracker.py Time goal setting and tracking
scripts/bill_calculator.py Billing calculation
scripts/importer.py External data import
scripts/exporter.py Data export (CSV/JSON)
scripts/reminder.py Daily/weekly reminders
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install time-guru
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /time-guru 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of Time Guru for natural language time tracking and productivity analysis. - Effortless activity logging with smart auto-classification and instant timer support. - Generate multi-dimensional reports (daily, weekly, monthly) and advanced productivity analytics. - Retroactive activity entry and billing/invoicing features for projects and clients. - Local, privacy-friendly storage with optional reminders and backup.
元数据
Slug time-guru
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Time Guru 是什么?

Natural language time tracking with smart activity classification, multi-dimensional reports, productivity analytics, and billing. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 37 次。

如何安装 Time Guru?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install time-guru」即可一键安装,无需额外配置。

Time Guru 是免费的吗?

是的,Time Guru 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Time Guru 支持哪些平台?

Time Guru 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Time Guru?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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