Lofy Life Coach

v1.0.0

Personal accountability system for the Lofy AI assistant — morning briefings, evening reviews, weekly reports, goal tracking, habit monitoring with streak counting, and adaptive nudge logic. Use when managing daily routines, life goals, habit streaks, or delivering scheduled briefings and reviews.

4· 978·2 current·2 all-time
byHarreynish Gowtham@harrey401

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for harrey401/lofy-life-coach.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Lofy Life Coach" (harrey401/lofy-life-coach) from ClawHub.
Skill page: https://clawhub.ai/harrey401/lofy-life-coach
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install lofy-life-coach

ClawHub CLI

Package manager switcher

npx clawhub@latest install lofy-life-coach
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name and description (life coach, habit tracking, briefings) align with the runtime instructions: tracking goals/habits, delivering morning/evening briefings, weekly resets, and writing to data/goals.json. There are no unrelated env vars, binaries, or installs requested.
Instruction Scope
Instructions are explicit about reading and writing data/goals.json and about how to parse and update goals/habits — this is within the skill's purpose. The file path is relative (data/goals.json) which limits scope, but the doc also references external sources (Weather, Calendar, Applications) without specifying how to access them or what credentials/access the agent will use; this is not inherently malicious but is a missing detail the user should consider (the agent may attempt to use existing calendar/weather integrations or ask for permission).
Install Mechanism
No install spec and no code files — instruction-only. This is low-risk because nothing is downloaded or written at install time.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate for a local life-coach that stores state in a local JSON file.
Persistence & Privilege
Skill is not forced-always, and uses normal model-invocation behavior. It asks the agent to persist data to a local JSON file (expected for this purpose) but does not request system-wide configuration changes or access to other skills' credentials.
Assessment
This skill is internally consistent: it stores and updates a local data/goals.json and otherwise behaves like a personal life coach. Before installing, confirm where the agent will store and back up data/goals.json and whether that file will be accessible to other agents or processes. Also check how the agent will access Calendar and Weather (it may use your existing integrations or prompt for permissions); if you want tighter control, restrict file permissions for data/, run the skill in an environment where the agent's calendar and external-access permissions are limited, or ask the skill author to document how external data sources are accessed and where weekly archives are saved.

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

latestvk978dmmzd3e24nfzvf6stewmjn80x85y
978downloads
4stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Life Coach — Personal Accountability

Manages life goals, daily routines, habit streaks, and accountability. Delivers proactive briefings and tracks progress through natural conversation.

Data File: data/goals.json

Read and write this file for all goal tracking. Structure:

{
  "fitness": { "target": "", "weekly_target": 4, "current_week_count": 0, "streak_weeks_hit": 0, "last_workout_date": null },
  "career": { "target": "", "total_apps_sent": 0, "interviews_completed": 0, "offers": 0 },
  "habits": { "tracked": ["sleep_by_midnight", "meal_prep_sunday", "read_30min"], "today": {}, "streaks": {}, "weekly_completion_rate": 0 },
  "daily_log": []
}

Morning Briefing

Compose from these sources (use what's available):

  1. Weather — current conditions and forecast
  2. Calendar — today's events
  3. Goals — streaks, weekly progress, pending items
  4. Applications — upcoming deadlines or follow-ups
  5. Fitness — workout count this week vs target

Format: concise, scannable, under 200 words. Lead with what matters most.

Evening Review

  1. Ask what was accomplished
  2. Update data/goals.json daily_log
  3. Preview tomorrow's schedule
  4. Update habit tracking for today
  5. Brief encouragement or course-correction based on data

Goal Updates via Natural Language

Parse conversational updates:

  • "I worked out" → update fitness count and date
  • "Applied to [company]" → increment career apps
  • "Went to bed at 11" → mark sleep habit
  • "Did meal prep" → mark habit
  • "Read for 30 min" → mark habit

Weekly Reset (Sunday night)

  • Archive current week data
  • Reset weekly counters
  • Calculate completion rates
  • Update streak counts

Nudge Logic

  • Max 1 nudge per topic per day. Never nag.
  • Gym nudge: Only if behind on weekly target AND no workout today
  • Sleep nudge: Only if habit not yet logged near bedtime
  • Adapt tone to time of day and apparent mood
  • If user is having a rough day, acknowledge it — don't push harder

Instructions

  1. Always read data/goals.json before responding about goals
  2. Update the JSON immediately after any goal conversation
  3. Use specific numbers, not vague encouragement
  4. Track weekly trends — the trend matters more than any single day
  5. Keep briefings under 200 words, nudges under 50

Comments

Loading comments...