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Habit Flow

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.

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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.

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Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

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Manual review
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
CHANGELOG.md, INSTALL.md, README.md, SKILL.md, assets/canvas-dashboard.ts, assets/components/completion-heatmap.ts

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Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.5.4

Documentation

ClawHub primary doc Primary doc: SKILL.md 20 sections Open source page

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: βœ… Natural language logging ("I meditated today", "walked Monday and Thursday") βœ… Smart streak calculation with 1-day forgiveness βœ… Scheduled reminders via WhatsApp βœ… AI coaching with multiple personas βœ… Statistics and progress tracking βœ… 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: Read ~/clawd/habit-flow-data/config.json to get the activePersona field Validate the value is one of the allowed IDs: flex, coach-blaze, luna, ava, max, sofi, the-monk. If not, fall back to flex Load the corresponding persona file: references/personas/{activePersona}.md Adopt that persona's communication style (tone, vocabulary, response patterns) Example: # Read config cat ~/clawd/habit-flow-data/config.json # β†’ "activePersona": "coach-blaze" # Validate: "coach-blaze" is in allowed list β†’ OK # Load persona cat references/personas/coach-blaze.md

Available Personas

flex - Professional, data-driven (default) coach-blaze - Energetic sports coach πŸ”₯ luna - Gentle therapist πŸ’œ ava - Curious productivity nerd πŸ€“ 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"): Read current config: cat ~/clawd/habit-flow-data/config.json 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 Update the activePersona field to the validated persona ID Load the new persona file: cat references/personas/{validated-persona-id}.md 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?"): Read current config to get activePersona: cat ~/clawd/habit-flow-data/config.json Validate the activePersona value is one of the allowed IDs listed above. If not, fall back to flex Display the persona image using Read tool: # Example for coach-blaze cat personas/coach-blaze.png Include a brief description in the persona's voice: [Display persona/coach-blaze.png] πŸ”₯ 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! πŸ’ͺ 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

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: β‰₯ 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 β€” verbal confirmation alone doesn't persist the data. Typical flow: Parse user input β†’ identify habit + date Run log_habit.ts --habit-id ... --date ... --status completed Confirm with streak update from the script output Example Response (high confidence): "Logged! πŸ”₯ 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: Initialize data directory if needed: mkdir -p ~/clawd/habit-flow-data/logs Create default config.json with user's timezone, "flex" persona, and default user ID Welcome user, introduce capabilities (natural language logging, streaks, reminders, coaching) Offer persona selection (Flex, Coach Blaze, Luna, Ava, Max, The Monk) 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

Conversation Examples: references/EXAMPLES.md Coaching Techniques: references/atomic-habits-coaching.md Commands: references/COMMANDS.md Reminders: references/REMINDERS.md Data Storage: references/DATA.md Data Schema: references/data-schema.md Personas: references/personas.md Proactive Coaching: references/proactive-coaching.md

Installation

This skill is automatically installed via the install.sh script when added through clawdhub. Manual installation: ./install.sh The install script will: Check for Node.js and npm Install npm dependencies (chrono-node, string-similarity, zod, commander, tsx, typescript) Run initial setup (create data directory, configure cron jobs) Dependencies: Node.js 18+, npm

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Docs2 Scripts
  • SKILL.md Primary doc
  • CHANGELOG.md Docs
  • INSTALL.md Docs
  • README.md Docs
  • assets/canvas-dashboard.ts Scripts
  • assets/components/completion-heatmap.ts Scripts