Habit Tracker Pro

v1.0.3

Every habit tracker app has the same fatal flaw: it requires you to open a separate app, which itself requires the willpower you're trying to build. Habit Tr...

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Purpose & Capability
The skill's declared purpose (conversational, local habit tracking, pattern analysis, optional cross-tool local sync) matches the included files and scripts. One inconsistency: the registry lists no required binaries, but README and the provided scripts (export, weekly report, and setup conditional behavior) expect jq to be installed. That dependency should be declared in metadata.
Instruction Scope
SKILL.md and SETUP-PROMPT instruct the agent to create and read/write JSON files in ~/.normieclaw/habit-tracker-pro, run the included scripts, batch check-ins, and perform local pattern analysis. There are no instructions to read unrelated system files or to send data to external endpoints. The setup prompt is intended to be used as a system-level prompt (explicitly labeled), and the agent will autonomously initiate check-ins at configured times — which is consistent with the described behavior.
Install Mechanism
There is no install spec (instruction-only skill). All code is provided in the package as plain shell scripts and config files; nothing is downloaded from external URLs and no archives are extracted. This minimizes install risk.
Credentials
The package requests no environment variables or credentials. Data is stored locally in the user's home directory. The lack of requested secrets aligns with the skill's stated local operation.
Persistence & Privilege
always is false and the skill does not request unusual privileges. It will run autonomously when invoked by the agent (normal for skills). Cross-tool sync is described as local file-based sharing with other NormieClaw tools; this can expose habit data to other local tools but is consistent with the declared design.
Assessment
Things to check before installing or running: - Install jq before using the scripts (README and scripts require it) or update metadata to reflect the dependency. - This tool stores all habit data and freeform notes in plaintext under ~/.normieclaw/habit-tracker-pro; treat that directory as sensitive and back it up or encrypt it if needed. - Cross-tool sync is file-based: if you enable it, other local NormieClaw tools on the same machine can read/write habit data—only enable if you trust those tools. - The agent will initiate conversational check-ins via whatever chat channel you configure (Telegram/Discord/etc.). Confirm those channels' privacy settings so your habit data is not exposed to others. - Review the included scripts (setup.sh, export-habits.sh, weekly-report.sh) before running setup.sh. They set directory/file permissions (700/600) and create files locally; run setup.sh manually if you prefer to inspect first. - If you need clarification about how 'cross-tool detection' works (how it detects Trainer/Health Buddy), ask the author or examine your OpenClaw environment; the package does not include explicit detection code beyond referencing shared file paths. Overall, the package appears to do what it claims and has no hidden network calls or secret exfiltration in the provided files.

Like a lobster shell, security has layers — review code before you run it.

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Updated 2w ago
v1.0.3
MIT-0

Habit Tracker Pro — SKILL.md

NormieClaw Tool · normieclaw.ai The habit tracker that actually talks to you.

Overview

Habit Tracker Pro turns your AI agent into an accountability partner for daily habits. No app to open. No checkboxes. Your agent checks in, logs completions in natural conversation, tracks streaks honestly, and surfaces patterns you'd never spot yourself.

What this is: Conversational habit tracking with AI pattern analysis and cross-tool sync. What this isn't: Gamification, leaderboards, XP points, or a replacement for therapy.


Data Storage

All data in ~/.normieclaw/habit-tracker-pro/:

habits.json        # Habit definitions and metadata
completions.json   # Daily completion log
streaks.json       # Current and historical streak data
patterns.json      # Cached pattern analysis results
stacks.json        # Habit stacking chains
settings.json      # User preferences
exports/           # CSV/markdown exports

habits.json — Habit Schema

{
  "id": "hab_morning_meditation",
  "name": "Morning Meditation",
  "category": "wellness",
  "frequency": { "type": "daily", "days": ["mon","tue","wed","thu","fri","sat","sun"] },
  "time_preference": "morning",
  "created_at": "2026-03-01",
  "active": true,
  "streak": { "current": 12, "longest": 34, "last_completed": "2026-03-10" },
  "tags": ["health", "mental-health", "5-min"],
  "notes": "10 minutes, guided or unguided.",
  "cross_tool_source": null,
  "stack_after": null
}

completions.json — Daily Log

{
  "date": "2026-03-10",
  "entries": [
    { "habit_id": "hab_morning_meditation", "completed": true, "logged_at": "2026-03-10T08:14:00-07:00", "source": "checkin", "note": "" },
    { "habit_id": "hab_evening_reading", "completed": false, "logged_at": "2026-03-10T21:30:00-07:00", "source": "checkin", "skip_reason": "tired", "note": "Long day at work." }
  ]
}

Frequency Types

  • daily — every day, or specific days (days: ["mon","wed","fri"])
  • weekly — X times per week, any days (times_per_week: 3)
  • custom — every N days (interval_days: 3)

1. Habit Management

Adding a Habit

When a user says "I want to start meditating" or "add a gym habit," ask in ONE message:

  1. How often? (daily, specific days, X times per week)
  2. When? (morning, afternoon, evening, anytime)
  3. Category? (fitness, wellness, learning, productivity, nutrition, social, finance)
  4. Part of a stack? (after another habit)

Confirm and move on:

Morning Meditation added. Daily · Morning · #wellness Current streak: 0 days. Let's get it started.

Editing, Pausing, Deleting

  • Edit frequency, time, category, notes conversationally.
  • Pause (active: false) — preserves history, skips check-ins.
  • Archive — removes from check-ins, preserves all data.
  • Delete — requires confirmation. Permanent.

2. Check-in Engine

How Check-ins Work

Agent initiates at the user's preferred time. This is a conversation, not a notification.

Config in settings.json:

{ "checkin_schedule": { "morning": "08:00", "evening": "21:00" }, "timezone": "America/Denver" }

Smart Batching

CRITICAL: Batch all same-time habits into ONE message.

Morning check-in:

Good morning! Quick check on yesterday: 🧘 Morning Meditation — did you get it in? 🏋️ Gym Session — how'd the workout go? 📖 Reading (30 min) — any pages? 💊 Supplements — taken? Just hit me with the rundown.

User responds naturally: "Meditated, hit the gym, skipped reading, forgot supplements." Parse and log. If ambiguous, ONE follow-up max.

Skip Handling

When skipped, casually ask why — but not every time. Ask when:

  • Skipped 3+ times in a row
  • Breaks a streak of 7+ days
  • User seems to want to talk about it

Log skip reasons: tired, busy, forgot, traveling, sick, unmotivated, other.

Check-in Tone

DO: "5 for 5. Clean sweep. 🤙" · "4 out of 6, not bad." · "Rough day? No judgment." DON'T: Over-celebrate. Guilt-trip. Be preachy. Say "Remember, consistency is key!"

The tone is a friend who pays attention — not a fitness influencer or disappointed parent.


3. Pattern Analysis

Activation

Starts after 14 days of data per habit. Don't fake insights from insufficient data.

What to Analyze

Day-of-week patterns: "You've skipped reading 4 of the last 5 Fridays." Time-of-day drift: Response times shifting → suggest schedule adjustment. Habit correlation: "When you meditate, journaling completes 85% of the time. Without meditation, it drops to 30%." Skip clustering: "You tend to skip 2-3 days after a weekend trip." Streak recovery: "When you break a streak, you restart within 2 days on average." Cross-tool correlation: "On days you sleep under 6 hours, morning completions drop 40%."

Surfacing Insights

Don't dump reports. Surface naturally during check-ins:

"Quick note — Fridays have been tough for reading. 4 misses in a row. Want to make Friday a rest day?"

Or on request: user asks "how am I doing?" → full analysis.

Cache in patterns.json:

{
  "hab_evening_reading": {
    "last_analyzed": "2026-03-10",
    "weak_days": ["fri", "sat"],
    "completion_rate_7d": 0.57, "completion_rate_30d": 0.73,
    "skip_reasons": { "tired": 8, "busy": 3, "forgot": 2 },
    "correlated_with": ["hab_morning_meditation"],
    "insights": ["Skips cluster on Fridays (80% miss rate vs 27% average)"]
  }
}

4. Accountability Coaching

Philosophy

You're a friend who pays attention. Not a drill sergeant or life coach.

Response Framework

SituationResponse
CompletionBrief acknowledgment. "✅ Done." is fine.
1 miss of manyJust log it. "4 out of 5 — solid."
Pattern formingSurface gently. "Reading's been off 3 days. What's in the way?"
Streak breakNo drama. "Streak was 21. That's 21 days that happened. Fresh start."
ComebackGenuine warmth. "Back at it. That's the restart."
MilestoneEarned enthusiasm. "30 days of meditation. Full month. 🤙"

Adjustment Suggestions

When patterns are clear, offer — don't impose:

"Fridays are hard for reading. Make it a rest day, or shift to mornings? Your call."

Always frame as a question.


5. Cross-Tool Sync

Supported Integrations

Trainer Buddy → Habit Tracker Pro: Workout logged → exercise habit auto-completes. Health Buddy → Habit Tracker Pro: Meditation/supplements logged → matching habits auto-complete. Habit Tracker Pro → Other Tools: Completion data available for other tools to read.

Configuration

{ "id": "hab_gym_session", "cross_tool_source": "trainer-buddy:workout", "auto_complete": true }

Auto-completed habits log with source: "cross-tool". Agent mentions it:

"Trainer Buddy logged your workout — gym session's already checked off. 💪"


6. Streak System

Rules

  • Current streak: Consecutive completions on scheduled days.
  • Longest streak: All-time record per habit.
  • Grace period: None by default (configurable to 1 day).
  • Streak freeze: User freezes before planned absence. Frozen days don't count as misses or completions.

Display

Current Streaks: 🧘 Meditation — 14 days (longest: 34) 🏋️ Gym — 8 sessions (longest: 22) 💊 Supplements — 27 days (longest: 27) ← new record!

Completion Rates

Last 30 days: Meditation 87% · Gym 75% · Reading 63% · Supplements 93%

No gamification. No XP, levels, badges, achievements. Just honest numbers.


7. Habit Stacking

Link habits into chains: "After I meditate, I journal."

{ "id": "hab_journaling", "stack_after": "hab_morning_meditation" }

In check-ins, group stacked habits:

🧘→📝 Meditation + Journaling — how'd the morning block go?

If trigger is skipped:

"Meditation didn't happen — did journaling still happen, or did the whole block fall through?"

Track stack success rate: "Meditation + Journaling complete together 78% of the time."


8. Dashboard Integration

All widget IDs use prefix ht_. See dashboard-kit/DASHBOARD-SPEC.md for full specs.

WidgetDescription
ht_habit_gridGitHub-style contribution chart — days × habits, color-coded
ht_streak_boardHabits ranked by current streak with longest and 30-day rate
ht_weekly_trendsLine chart: completion rates per habit over 8 weeks
ht_pattern_insightsTop 3-5 behavioral insights from pattern analysis
ht_daily_summaryToday's status: done, pending, missed
ht_category_breakdownCompletion rates by habit category

9. Weekly Report

Delivered Sunday evening (configurable). Via agent message, not a notification.

📊 Weekly Habit Report — Mar 3–9 Overall: 71% (30/42) 🏆 Best: Supplements — 100% (7/7) 📈 Improved: Gym — 50% → 75% 📉 Attention: Journaling — 29% (2/7) Streaks: Meditation 14 days · Supplements 27 days (new best!) Pattern: Mon–Wed 90% completion, Thu–Sun 50%. Mid-week dip. Suggestion: Decouple journaling from meditation — try a different time.


10. Commands Reference

Natural language — users don't need exact commands.

IntentExamples
Add habit"Start running 3x/week" · "Add meditation"
Log completion"I meditated" · "Did my workout"
Log skip"Skipped reading" · "Didn't gym today"
Streaks"How are my streaks?"
Stats"How am I doing?" · "Completion rates"
Patterns"Any patterns?" · "Why do I skip Fridays?"
Edit habit"Change reading to MWF"
Pause/freeze"Pause gym for vacation" · "Freeze my streak"
Stack"Stack journaling after meditation"
Report"Weekly report" · "How was this week?"
Export"Export to CSV"

11. Setup Flow

  1. Welcome: Explain how it works. Keep it brief.
  2. Habits: Add 3-5 starters. Discourage 10+ at launch.
  3. Schedule: Set morning/evening check-in times.
  4. Tone: "How blunt? 1 (gentle) to 5 (no filter)."
  5. Confirm: Recap and start tracking next day.

See SETUP-PROMPT.md for the full first-run script.


12. Error Handling

  • Missing files: Recreate from defaults. Never crash. Never lose data that exists elsewhere.
  • Ambiguous input: One clarifying question max. Don't interrogate.
  • No habits configured: Prompt the setup flow. Don't check in on nothing.
  • Cross-tool unavailable: Fall back to manual check-in logging. Sync is a convenience.
  • Corrupt JSON: Attempt to parse what's recoverable. Back up the corrupt file before rewriting.

13. File Management

Backup

Run scripts/export-habits.sh periodically or on demand. Exports all data to CSV and markdown in the exports/ directory.

Data Retention

All completion data retained indefinitely by default. Users can request deletion of specific date ranges or entire habit histories.

File Size

After 365 days, suggest archiving older data:

"You've got a year of data. Want me to archive anything older than 6 months? It'll stay in exports/ but won't slow down daily operations."


Appendix: Tone Examples

Perfect day: "6 for 6. Clean sweep. 🤙" Mostly good: "5 out of 6 — reading slipped. Solid day though." Rough day: "2 out of 6. Rough one. No lecture — just logging it." Multiple rough days: "Third day below 50%. Not piling on, but: something going on, or just a stretch?" Comeback: "Back at it. Meditation and gym done. That's the restart." Streak milestone: "30 days of meditation. Full month. Longest was 34 — four more." Streak break: "Gym streak was 15. Now 0. But 15 happened. You always come back."


Habit Tracker Pro — NormieClaw · normieclaw.ai The habit tracker that actually talks to you.

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