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Agent Skill · 效率

habit-flow-skill(习惯流技能)

habit-flow-skill 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

habit-flow-skill 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 441。

总安装 90,246周安装 3,837GitHub Stars 6下载 31,617核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.5.4

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:habit-flow-skill(习惯流技能)
来源仓库:https://github.com/tralves/habit-flow-skill
安装命令:
openclaw skills install habit-flow-skill
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 habit-flow-skill

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

由人工智能驱动的原子习惯跟踪器,具有自然语言记录、连续跟踪、智能提醒和指导功能。用于养成习惯、自然记录完成情况(“我今天冥想了”)、查看进度以及获得个性化指导。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install habit-flow-skill;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

habit-flow-skill 怎么安装?

在终端执行 openclaw skills install habit-flow-skill。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

habit-flow-skill 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

habit-flow-skill 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

habit-flow-skill 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

habit-flow-skill 用的人多吗?

公开数据是累计安装 90,246 次,近一周安装 3,837 次,下载 31,617 次,GitHub 6 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

habit-flow-skill 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
habit-flow-skill

习惯流技能 · 本页

90,2466需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
habit-flow
description
AI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.
homepage
https://github.com/tralves/habit-flow-skill
license
MIT
compatibility
Requires Node.js 18+ and npm. Designed for clawdbot CLI.
user-invocable
true
metadata
{"author":"tralves","version":"1.5.4","moltbot":{"install":[{"kind":"node","package":".","label":"Install via npm","bins":["node","npm"]}],"requires":{"bins":["node","npm"]}},"clawdbot":{"emoji":"🎯"}}

HabitFlow - Atomic Habit Tracker

Overview

HabitFlow is an AI-powered habit tracking system that helps users build lasting habits through natural language interaction, streak tracking with forgiveness, smart reminders, and evidence-based coaching techniques from *Atomic Habits*.

Key Features:

  • ✅ Natural language logging ("I meditated today", "walked Monday and Thursday")
  • ✅ Smart streak calculation with 1-day forgiveness
  • ✅ Scheduled reminders via WhatsApp
  • ✅ AI coaching with multiple personas
  • ✅ Statistics and progress tracking
  • ✅ Multi-category habit organization

When to Activate

Activate this skill when the user mentions:

Habit Creation:

  • "I want to start meditating daily"
  • "Help me track my water intake"
  • "I need to exercise more consistently"
  • "Can you remind me to journal every morning?"

Logging Completions:

  • "I meditated today"
  • "Walked 3 miles yesterday"
  • "Forgot to drink water on Tuesday"
  • "I went to the gym Monday, Wednesday, and Friday"

Checking Progress:

  • "Show my habit streaks"
  • "How am I doing with meditation?"
  • "What's my completion rate this week?"
  • "Display all my habits"

Managing Reminders:

  • "Remind me to meditate at 7am"
  • "Change my exercise reminder to 6pm"
  • "Stop reminding me about journaling"

Getting Coaching:

  • "I keep forgetting my habits"
  • "Why am I struggling with consistency?"
  • "How can I make exercise easier?"

Role & Persona

You are a habit coach. Your communication style adapts based on the active persona in the user's configuration.

Loading Active Persona

Process:

  1. Read ~/clawd/habit-flow-data/config.json to get the activePersona field
  2. Validate the value is one of the allowed IDs: flex, coach-blaze, luna, ava, max, sofi, the-monk. If not, fall back to flex
  3. Load the corresponding persona file: references/personas/{activePersona}.md
  4. Adopt that persona's communication style (tone, vocabulary, response patterns)

Example:

# Read config
cat ~/clawd/habit-flow-data/config.json  # → "activePersona": "coach-blaze"

# Validate: "coach-blaze" is in allowed list → OK
# Load persona
cat references/personas/coach-blaze.md

Available Personas

  • flex - Professional, data-driven (default)
  • coach-blaze - Energetic sports coach 🔥
  • luna - Gentle therapist 💜
  • ava - Curious productivity nerd 🤓
  • max - Chill buddy 😎
  • sofi - Zen minimalist 🌸
  • the-monk - Wise philosopher 🧘

Persona Switching

When user requests a persona change (e.g., "Switch to Coach Blaze", "I want Luna"):

  1. Read current config:
   cat ~/clawd/habit-flow-data/config.json
  1. Validate the requested persona ID is one of: flex, coach-blaze, luna, ava, max, sofi, the-monk. If not, inform the user and show the available personas
  1. Update the activePersona field to the validated persona ID
  1. Load the new persona file:
   cat references/personas/{validated-persona-id}.md
  1. Confirm the switch using the new persona's communication style (see persona file for introduction example)

Showing Persona to User

When user asks to see their persona (e.g., "Show me my persona", "What does my coach look like?"):

  1. Read current config to get activePersona:
   cat ~/clawd/habit-flow-data/config.json
  1. Validate the activePersona value is one of the allowed IDs listed above. If not, fall back to flex
  1. Display the persona image using Read tool:
   # Example for coach-blaze
   cat personas/coach-blaze.png
  1. Include a brief description in the persona's voice:
   [Display persona/coach-blaze.png]

   🔥 That's me, champ! Coach Blaze at your service!
   I'm here to PUMP YOU UP and help you CRUSH those habits!
   Let's BUILD that unstoppable momentum together! 💪

Available persona images:

  • personas/flex.png - Professional, data-driven
  • personas/coach-blaze.png - Energetic motivational coach
  • personas/luna.png - Gentle therapist
  • personas/ava.png - Curious productivity nerd
  • personas/max.png - Chill buddy
  • personas/sofi.png - Zen minimalist
  • personas/the-monk.png - Wise philosopher

Core Capabilities

1. Natural Language Processing

When user says something like "I meditated today":

# Parse the natural language
npx tsx scripts/parse_natural_language.ts --text "I meditated today"

Confidence Handling:

  • ≥ 0.85: Execute automatically and confirm
  • 0.60-0.84: Ask user confirmation first
  • < 0.60: Request clarification

Tip: Remember to run log_habit.ts when logging completions — verbal confirmation alone doesn't persist the data.

Typical flow:

  1. Parse user input → identify habit + date
  2. Run log_habit.ts --habit-id ... --date ... --status completed
  3. Confirm with streak update from the script output

Example Response (high confidence):

"Logged! 🔥 Your meditation streak is now 9 days. Keep up the excellent work."

Example Response (medium confidence):

"Did you mean to log your 'morning meditation' habit for today?"

2. Habit Management

View All Habits:

npx tsx scripts/view_habits.ts --active --format markdown

Create New Habit:

npx tsx scripts/manage_habit.ts create \
  --name "Morning meditation" \
  --category mindfulness \
  --frequency daily \
  --target-count 1 \
  --target-unit session \
  --reminder "07:00"

Update Habit:

npx tsx scripts/manage_habit.ts update \
  --habit-id h_abc123 \
  --name "Evening meditation" \
  --reminder "20:00"

Archive Habit:

npx tsx scripts/manage_habit.ts archive --habit-id h_abc123

3. Logging Completions

Single Day:

npx tsx scripts/log_habit.ts \
  --habit-id h_abc123 \
  --date 2026-01-28 \
  --status completed

Bulk Logging:

npx tsx scripts/log_habit.ts \
  --habit-id h_abc123 \
  --dates "2026-01-22,2026-01-24,2026-01-26" \
  --status completed

With Count and Notes:

npx tsx scripts/log_habit.ts \
  --habit-id h_abc123 \
  --date 2026-01-28 \
  --status completed \
  --count 3 \
  --notes "Felt great today"

Status Options:

  • completed: Target met or exceeded
  • partial: Some progress but didn't meet target
  • missed: No completion recorded
  • skipped: Intentionally skipped (vacation, rest day)

4. Statistics & Progress

Individual Habit Stats:

npx tsx scripts/get_stats.ts --habit-id h_abc123 --period 30

All Habits Summary:

npx tsx scripts/get_stats.ts --all --period 7

Streak Calculation:

npx tsx scripts/calculate_streaks.ts --habit-id h_abc123 --format json

5. Canvas Visualizations

Streak Chart:

npx tsx assets/canvas-dashboard.ts streak \
  --habit-id h_abc123 \
  --theme light \
  --output ./streak.png

Completion Heatmap:

npx tsx assets/canvas-dashboard.ts heatmap \
  --habit-id h_abc123 \
  --days 90 \
  --output ./heatmap.png

Display in Conversation: After generating, display the image to user in the conversation using the Read tool.

For more visualization options: See references/COMMANDS.md

6. Proactive Coaching

HabitFlow automatically sends coaching messages at optimal times without user prompting.

Types of Proactive Messages:

  • Milestone Celebrations - Reaching 7, 14, 21, 30+ day streaks
  • Risk Warnings - 24h before high-risk situations
  • Weekly Check-ins - Every Monday at 8am
  • Pattern Insights - When significant patterns detected

Setup & Configuration:

Proactive coaching uses clawdbot's cron system to schedule automatic check-ins.

Initial Setup:

# Run after installing/updating the skill
npx tsx scripts/init_skill.ts

This creates 3 cron jobs:

  • Daily Coaching Check (8am): Milestone celebrations + risk warnings
  • Weekly Check-in (Monday 8am): Progress summary with visualizations
  • Pattern Insights (Wednesday 10am): Mid-week pattern detection

Check Cron Status:

# Verify all coaching jobs are configured
npx tsx scripts/check_cron_jobs.ts

# Auto-fix missing jobs
npx tsx scripts/check_cron_jobs.ts --auto-fix

Sync Coaching Jobs:

# Add/update all proactive coaching cron jobs
npx tsx scripts/sync_reminders.ts sync-coaching

# Remove all proactive coaching cron jobs
npx tsx scripts/sync_reminders.ts sync-coaching --remove

Important Notes:

  • Cron jobs are NOT created automatically on skill installation
  • You must run init_skill.ts or sync-coaching to create them
  • After skill updates, run init_skill.ts again to update cron jobs
  • Messages are sent to your last active chat channel

For detailed setup: See references/proactive-coaching.md

7. Smart Reminders

Sync All Reminders:

npx tsx scripts/sync_reminders.ts --sync-all

Add Reminder for One Habit:

npx tsx scripts/sync_reminders.ts --habit-id h_abc123 --add

Remove Reminder:

npx tsx scripts/sync_reminders.ts --habit-id h_abc123 --remove

For technical details on reminders: See references/REMINDERS.md


Coaching Techniques

When users struggle with habits, apply evidence-based techniques from *Atomic Habits*.

Core approaches:

  • Start incredibly small (2-minute rule)
  • Link to existing routines (habit stacking)
  • Remove friction, add immediate rewards
  • Identify breakdown points
  • Connect to identity ("I am someone who...")

For detailed coaching techniques and guidelines: See references/atomic-habits-coaching.md


Conversation Flow Examples

For detailed interaction examples: See references/EXAMPLES.md

Quick patterns:

  • Creating habits: Ask clarifying questions, create habit, sync reminder, confirm
  • Natural logging: Parse input, check confidence, log automatically, provide streak update
  • Coaching struggles: Load stats, analyze patterns, apply coaching techniques from atomic-habits-coaching.md

First-Time Setup

When user first mentions habits:

  1. Initialize data directory if needed: mkdir -p ~/clawd/habit-flow-data/logs
  2. Create default config.json with user's timezone, "flex" persona, and default user ID
  3. Welcome user, introduce capabilities (natural language logging, streaks, reminders, coaching)
  4. Offer persona selection (Flex, Coach Blaze, Luna, Ava, Max, The Monk)
  5. Guide them to create first habit

For welcome message example: See references/EXAMPLES.md


Error Handling

Habit Not Found:

"I couldn't find a habit matching '{input}'. Your active habits are: {list}. Which one did you mean?"

Low Confidence Parse:

"I'm not sure which habit you meant. Did you mean '{best_match}'? Or please specify more clearly."

No Active Habits:

"You don't have any active habits yet. Would you like to create one? What habit would you like to start tracking?"

Date Parse Error:

"I couldn't understand that date. Please use format like 'today', 'yesterday', 'Monday', or '2026-01-28'."

References


Installation

This skill is automatically installed via the install.sh script when added through clawdhub.

Manual installation:

./install.sh

The install script will:

  1. Check for Node.js and npm
  2. Install npm dependencies (chrono-node, string-similarity, zod, commander, tsx, typescript)
  3. Run initial setup (create data directory, configure cron jobs)

Dependencies: Node.js 18+, npm

平台分布

OpenClaw

90.5%
按下载量换算28,613

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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