Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Manages projects and coursework inside the Lofy AI assistant using a local JSON data file. A weighted priority formula scores each project on urgency, job relevance, momentum, and energy level to recommend what to work on next. Also automates meeting prep, tracks time logs, and flags projects that have gone stale.
The scoring formula weights urgency and job relevance differently rather than sorting purely by deadline, so the recommendation adapts to context instead of always surfacing the most overdue item.
When to use it
- Deciding which project to tackle with 45 minutes free
- Getting a prep brief before a client or advisor meeting
- Logging hours worked on a project through plain-language chat
- Spotting which active projects haven't been touched in weeks
- Tracking milestones and blockers across job and academic work simultaneously
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What should I work on? I have about an hour.
- 1Read data/projects.json to load all active projects and their metadata
- 2Score each project using Priority = (Urgency × 3) + (Job_Relevance × 2) + (Momentum × 1) + (Energy_Match × 1)
- 3Filter recommendations to the 30-60 min time bucket
- 4Select the top-scored project and one alternative
- 5Check for stale projects and append any alerts
Recommends the highest-priority project with a concrete 30-60 min task suggestion, plus one alternative, and notes any projects untouched for over a week.