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Tencent SkillHub · AI

Lofy Life Coach

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.

skill openclawclawhub Free
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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.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

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

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

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): Weather — current conditions and forecast Calendar — today's events Goals — streaks, weekly progress, pending items Applications — upcoming deadlines or follow-ups Fitness — workout count this week vs target Format: concise, scannable, under 200 words. Lead with what matters most.

Evening Review

Ask what was accomplished Update data/goals.json daily_log Preview tomorrow's schedule Update habit tracking for today 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

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

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
1 Docs
  • SKILL.md Primary doc