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energy-tracker能量追踪器

Agent Skill

energy-tracker 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,277

周安装

93

GitHub Stars

公开资料未说明

下载量

729
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:energy-tracker(能量追踪器)
来源仓库:https://github.com/martinashes/energy-tracker
安装命令:
openclaw skills install energy-tracker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install energy-tracker

简介

energy-tracker 用于查找、检索和筛选相关信息,适合在 OpenClaw 中快速定位候选结果。

  • 适用于关键词搜索、任务场景匹配和来源线索筛选等研究检索场景。
  • 通过 clawhub 安装并使用 openclaw skills install energy-tracker 命令部署。
  • 安装前需确认权限范围、维护状态及是否涉及联网或文件操作。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
energy-tracker
description
每日能量状态追踪与多日趋势分析;当智能体需要主动整理用户当日能量状态时使用
dependency
python

能量状态追踪器 / Energy Tracker

任务目标 / Objective

  • 本 Skill 用于:智能体主动整理用户每日能量状态并保存数据,同时基于多日数据识别心理模式
  • This Skill is for: AI agent proactively collects daily energy status from users and saves data, while identifying psychological patterns based on multi-day data
  • 能力包含:每日单选题整理、单天心理状态解读、多日趋势模式识别、可视化趋势图表、专业建议生成、紧急干预提醒
  • Capabilities: Daily single-question collection, single-day psychological status interpretation, multi-day trend pattern recognition, visual trend chart generation, professional advice generation, emergency intervention alerts
  • 触发条件:智能体需要记录用户当天的能量状态(每日一次主动询问)
  • Trigger condition: AI agent needs to record user's daily energy status (proactive inquiry once per day)

前置准备 / Prerequisites

  • 依赖说明:matplotlib(用于生成趋势图表)
  • Dependencies: matplotlib (for generating trend charts)

操作步骤 / Procedure

标准流程(智能体主动询问) / Standard Flow (Agent Proactive Inquiry)

1. 主动展示问题 / Display Question

  • 中文:提问"我今天是否有足够的能量,去应对那些必须要做的事?" 展示选项:A-"是" B-"勉强可以" C-"不,完全不想动"
  • English: Ask "Do I have enough energy today to handle the things I must do?" Show options: A-"Yes" B-"Barely" C-"No, don't want to move at all"

2. 整理回答 / Collect Response

  • 中文:记录用户的选择(A/B/C),记录当前日期(YYYY-MM-DD格式)
  • English: Record user's choice (A/B/C), record current date (YYYY-MM-DD format)

3. 单天解读 / Single-day Interpretation

  • 中文:根据用户选择,提供对应的单天结果解读和建议:

- A-"是":心理平衡期,保持规律作息,【智能体根据用户记忆生成个性化小奖励内容】 - B-"勉强可以":心理代偿期,精简清单,推掉非必要社交,早睡一小时 - C-"不,完全不想动":心理耗竭期,允许停顿,只做维持生存的最低限度工作

  • English: Provide corresponding single-day interpretation and advice based on user's choice:

- A-"Yes": Psychological balance period, maintain regular sleep schedule, [agent generates personalized reward content based on user memory] - B-"Barely": Psychological compensation period, simplify to-do list, decline non-essential social activities, sleep one hour earlier - C-"No, don't want to move at all": Psychological burnout period, allow pause, only do minimum work to maintain survival

4. 数据持久化 / Data Persistence

  • 中文:按照参考文档格式,将今日记录追加到 ./energy_data.json 文件中,文件不存在时首次创建
  • English: Append today's record to ./energy_data.json file according to reference document format, create file if it doesn't exist

5. 生成趋势图表 / Generate Trend Chart

  • 中文:每次记录后,调用 scripts/generate_chart.py 生成可视化趋势图。命令:python3 /workspace/projects/energy-tracker/scripts/generate_chart.py ./energy_data.json ./energy_chart.png。在回复中引用生成的图表展示趋势变化
  • English: After each recording, call scripts/generate_chart.py to generate visual trend chart. Command: python3 /workspace/projects/energy-tracker/scripts/generate_chart.py ./energy_data.json ./energy_chart.png. Reference the generated chart in response to show trend changes

6. 多日分析与干预检测(可选) / Multi-day Analysis and Intervention Detection (Optional)

  • 中文:当数据积累超过7天时,自动调用脚本进行趋势分析。执行 scripts/analyze_trends.py 处理 ./energy_data.json。检查脚本返回的 needs_intervention 字段:

- 若 needs_interventiontrueconsecutive_c >= 3: - 判断用户地区:中国大陆推送"12356"全国统一心理援助热线 - 其他地区:智能体自行搜索当地心理援助热线并推送 - 结合脚本返回的模式和建议,用自然语言为用户解释趋势含义 - 给出具体的行动建议

  • English: When accumulated data exceeds 7 days, automatically call script for trend analysis. Execute scripts/analyze_trends.py to process ./energy_data.json. Check the needs_intervention field returned by script:

- If needs_intervention is true and consecutive_c >= 3: - Determine user region: Push "12356" national psychological assistance hotline for mainland China - Other regions: Agent searches for local psychological assistance hotline and pushes it - Combine pattern and advice returned by script to explain trend meaning to user in natural language - Provide specific action suggestions

资源索引 / Resource Index

  • 必要脚本1 / Essential Script 1: scripts/analyze_trends.py(多日趋势分析与干预检测,输入:energy_data.json,输出:分析报告 / Multi-day trend analysis and intervention detection, input: energy_data.json, output: analysis report)
  • 必要脚本2 / Essential Script 2: scripts/generate_chart.py(可视化趋势图表生成,输入:energy_data.json、输出路径,输出:PNG图片 / Visual trend chart generation, input: energy_data.json, output path, output: PNG image)
  • 领域参考 / Domain Reference: references/data-format.md(数据文件格式定义与示例 / Data file format definition and examples)
  • 示例数据 / Sample Data: references/sample-data.json(7天示例数据,用于格式参考 / 7-day sample data for format reference)

注意事项 / Notes

  • 中文:智能体每日主动询问一次,避免重复录入。多日分析至少需要7天数据才能提供有意义的趋势判断。每次记录后都生成趋势图表,即使用户数据不足7天也可展示。对于持续低能量状态,建议用户关注专业干预建议。连续3天及以上选择C时,必须推送心理援助热线信息。个性化奖励内容应基于用户记忆生成具体化建议。所有用户数据文件使用相对路径 ./,Skill资源使用绝对路径
  • English: Agent proactively asks once per day, avoid duplicate entries. Multi-day analysis requires at least 7 days of data to provide meaningful trend judgments. Generate trend chart after each recording, even if user data is less than 7 days. For sustained low energy status, suggest user pay attention to professional intervention advice. When C is selected for 3 or more consecutive days, must push psychological assistance hotline information. Personalized reward content should generate specific suggestions based on user memory. All user data files use relative path ./, Skill resources use absolute paths

使用示例 / Usage Examples

标准场景 / Standard Scenario

  • 中文

- 智能体:主动提问"我今天是否有足够的能量,去应对那些必须要做的事?A-'是' B-'勉强可以' C-'不,完全不想动'" - 用户:"选A" - 智能体:提供单天解读"你处于心理平衡期。保持规律作息,【根据记忆生成:比如喝一杯喜欢的茶/看一集喜欢的剧/散步15分钟】作为小奖励",将记录保存到 ./energy_data.json - 智能体:调用图表生成脚本,展示"能量状态趋势图"(图片) - 智能体(当数据超过7天):调用脚本分析数据,补充说明"你的状态反复波动,代表环境压力过载..."并提供建议

  • English:

- Agent: Proactively asks "Do I have enough energy today to handle the things I must do? A-'Yes' B-'Barely' C-'No, don't want to move at all'" - User: "Choose A" - Agent: Provides single-day interpretation "You are in psychological balance period. Maintain regular sleep schedule, [generate based on memory: e.g., drink a cup of favorite tea / watch an episode of favorite show / take a 15-minute walk] as a small reward", saves record to ./energy_data.json - Agent: Calls chart generation script, displays "Energy Status Trend Chart" (image) - Agent (when data exceeds 7 days): Calls script to analyze data, supplements with explanation "Your status fluctuates repeatedly, representing environmental pressure overload..." and provides suggestions

紧急干预场景 / Emergency Intervention Scenario

  • 中文

- 智能体:调用分析脚本,检测到 needs_intervention: trueconsecutive_c: 3 - 智能体:推送紧急提醒"检测到您连续3天处于心理耗竭期,这是预警信号。请拨打12356全国统一心理援助热线(如在其他地区,请查询当地心理援助热线),及时寻求专业支持。"

  • English:

- Agent: Calls analysis script, detects needs_intervention: true and consecutive_c: 3 - Agent: Pushes emergency alert "Detected that you have been in psychological burnout period for 3 consecutive days, this is an early warning signal. Please call 12356 national psychological assistance hotline (if in other regions, please query local psychological assistance hotline), seek professional support in time."

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算601

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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