xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
Project management for the Lofy AI assistant — tracks multiple projects with milestones, priority scoring engine (urgency × job relevance × momentum × energy match), meeting prep automation, time logging, stale project alerts, and work session recommendations. Use when managing projects, prioritizing work, preparing for meetings, or tracking milestones and deadlines.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install harrey401/lofy-projectsInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Keeps projects, coursework, and research organized. Tracks status, deadlines, blockers, and helps prioritize work time.
data/projects.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": [] }
}
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
When a meeting is detected:
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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...X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
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