lofy-projects
Project management for the Lofy AI assistant — tracks multiple projects with milestones, priority scoring engine.
Setup & Installation
Install command
clawhub install harrey401/lofy-projectsIf the CLI is not installed:
Install command
npx clawhub@latest install harrey401/lofy-projectsOr install with OpenClaw CLI:
Install command
openclaw skills install harrey401/lofy-projectsor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/harrey401/lofy-projectsWhat 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
View original SKILL.md file
# Project Pilot — Project & Academic Manager
Keeps projects, coursework, and research organized. Tracks status, deadlines, blockers, and helps prioritize work time.
## Data File: `data/projects.json`
```json
{
"projects": {
"example_project": {
"name": "Example Project",
"status": "active",
"phase": "Phase 1",
"description": "",
"stack": [],
"milestones": [
{ "name": "Milestone 1", "status": "in_progress", "target_date": null }
],
"blockers": [],
"next_actions": [],
"time_log": [],
"last_updated": null,
"job_relevance": "high"
}
},
"academic": { "graduation": null, "deadlines": [], "meetings": [] }
}
```
## Priority Engine
When user asks "what should I work on?":
```
Priority = (Urgency × 3) + (Job_Relevance × 2) + (Momentum × 1) + (Energy_Match × 1)
Urgency (0-5): 5=due today, 4=48h, 3=this week, 2=this month, 1=no deadline, 0=backlog
Job_Relevance (0-5): 5=critical, 4=high, 3=medium, 2=portfolio, 1=low, 0=none
Momentum (0-3): 3=active progress, 2=touched last 3 days, 1=stale 1-2 weeks, 0=cold 2+ weeks
Energy_Match (0-2): 2=matches current energy, 1=neutral, 0=mismatch
```
### Time-Based Recommendations
- **< 30 min:** Quick tasks — email, review, read, update docs
- **30-60 min:** Medium — write one function, prep notes, apply to 1 job
- **1-2 hours:** Focused — implement a feature, write paper section, debug
- **2+ hours:** Deep work — major development sessions
## Meeting Prep
When a meeting is detected:
1. Identify related project
2. Pull recent time_log entries since last meeting
3. List current blockers
4. Generate 2-3 questions to ask
5. Suggest what to demo/present
6. Send prep 2 hours before
## Status Updates via Natural Language
- "Worked on [project] for 2 hours" → update time_log, last_updated
- "[Feature] is working now" → update milestone status
- "Stuck on [issue]" → add to blockers
- "Meeting moved to Thursday" → update meetings
## Instructions
1. Always read `data/projects.json` before responding about projects
2. Update JSON after any project conversation
3. For "what should I work on?" — ONE clear recommendation + one alternative
4. Flag stale projects: "[Project] hasn't been touched in X days"
5. Before meetings, proactively send prep
6. Prioritize job-critical projects unless there's a deadline override
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Deciding which project to tackle with 45 minutes free
- 1Deciding which project to tackle with 45 minutes free
- 2Getting a prep brief before a client or advisor meeting
- 3Logging hours worked on a project through plain-language chat
- 4Spotting which active projects haven't been touched in weeks
- 5Tracking milestones and blockers across job and academic work simultaneously
Project management for the Lofy AI assistant — tracks multiple projects with milestones, priority scoring engine.
Security Audits
These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.