Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Manages life goals, daily routines, habit streaks, and accountability. Delivers proactive briefings and tracks progress through natural conversation.
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": [] }
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.
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
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
Archive current week data Reset weekly counters Calculate completion rates Update streak counts
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
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
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.