time-tracking-top-categories
Sub-skill of time-tracking: Top Categories (+2).
Best use case
time-tracking-top-categories is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of time-tracking: Top Categories (+2).
Teams using time-tracking-top-categories should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/top-categories/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How time-tracking-top-categories Compares
| Feature / Agent | time-tracking-top-categories | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of time-tracking: Top Categories (+2).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Top Categories (+2)
## Top Categories
"""
for category, hours in list(rt["by_category"].items())[:5]:
md += f"- **{category}**: {hours:.1f} hours\n"
return md
# Example usage
if __name__ == "__main__":
generator = WeeklyReportGenerator(
*See sub-skills for full details.*
## Example 2: Project Time Attribution
```python
#!/usr/bin/env python3
"""project_attribution.py - Attribute time to projects automatically"""
import os
import re
from datetime import datetime, timedelta
from collections import defaultdict
class ProjectTimeAttributor:
*See sub-skills for full details.*
## Example 3: Productivity Dashboard Data
```python
#!/usr/bin/env python3
"""productivity_dashboard.py - Generate dashboard data"""
import os
from datetime import datetime, timedelta
import json
class ProductivityDashboard:
"""Generate data for productivity dashboard."""
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