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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install harrey401/lofy-projects打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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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