time-tracking-3-toggl-track-reports
Sub-skill of time-tracking: 3. Toggl Track - Reports.
Best use case
time-tracking-3-toggl-track-reports is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of time-tracking: 3. Toggl Track - Reports.
Teams using time-tracking-3-toggl-track-reports 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/3-toggl-track-reports/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How time-tracking-3-toggl-track-reports Compares
| Feature / Agent | time-tracking-3-toggl-track-reports | 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: 3. Toggl Track - Reports.
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
# 3. Toggl Track - Reports
## 3. Toggl Track - Reports
**Reports API:**
```bash
# Summary report
curl -s -X POST -u "$TOGGL_API_TOKEN:api_token" \
-H "Content-Type: application/json" \
"https://api.track.toggl.com/reports/api/v3/workspace/WORKSPACE_ID/summary/time_entries" \
-d '{
"start_date": "2025-01-01",
"end_date": "2025-01-31",
"grouping": "projects",
"sub_grouping": "users"
}' | jq
# Detailed report
curl -s -X POST -u "$TOGGL_API_TOKEN:api_token" \
-H "Content-Type: application/json" \
"https://api.track.toggl.com/reports/api/v3/workspace/WORKSPACE_ID/search/time_entries" \
-d '{
"start_date": "2025-01-01",
"end_date": "2025-01-31",
"page_size": 50,
"first_row_number": 0
}' | jq
# Weekly report
curl -s -X POST -u "$TOGGL_API_TOKEN:api_token" \
-H "Content-Type: application/json" \
"https://api.track.toggl.com/reports/api/v3/workspace/WORKSPACE_ID/weekly/time_entries" \
-d '{
"start_date": "2025-01-06",
"end_date": "2025-01-12",
"grouping": "projects"
}' | jq
```
**Python - Reports:**
```python
class TogglReports:
"""Toggl Reports API client."""
REPORTS_URL = "https://api.track.toggl.com/reports/api/v3"
def __init__(self, api_token=None):
self.api_token = api_token or os.environ.get("TOGGL_API_TOKEN")
self.auth = (self.api_token, "api_token")
def _request(self, method, endpoint, data=None):
"""Make API request."""
url = f"{self.REPORTS_URL}{endpoint}"
response = requests.request(
method,
url,
auth=self.auth,
json=data,
headers={"Content-Type": "application/json"}
)
response.raise_for_status()
return response.json()
def summary_report(
self,
workspace_id,
start_date,
end_date,
grouping="projects",
sub_grouping=None,
project_ids=None,
user_ids=None
):
"""Generate summary report."""
data = {
"start_date": start_date.strftime("%Y-%m-%d"),
"end_date": end_date.strftime("%Y-%m-%d"),
"grouping": grouping
}
if sub_grouping:
data["sub_grouping"] = sub_grouping
if project_ids:
data["project_ids"] = project_ids
if user_ids:
data["user_ids"] = user_ids
return self._request(
"POST",
f"/workspace/{workspace_id}/summary/time_entries",
data
)
def detailed_report(
self,
workspace_id,
start_date,
end_date,
page_size=50,
first_row=0
):
"""Generate detailed report with pagination."""
data = {
"start_date": start_date.strftime("%Y-%m-%d"),
"end_date": end_date.strftime("%Y-%m-%d"),
"page_size": page_size,
"first_row_number": first_row
}
return self._request(
"POST",
f"/workspace/{workspace_id}/search/time_entries",
data
)
def weekly_report(
self,
workspace_id,
start_date,
end_date,
grouping="projects"
):
"""Generate weekly report."""
data = {
"start_date": start_date.strftime("%Y-%m-%d"),
"end_date": end_date.strftime("%Y-%m-%d"),
"grouping": grouping
}
return self._request(
"POST",
f"/workspace/{workspace_id}/weekly/time_entries",
data
)
# Example usage
if __name__ == "__main__":
reports = TogglReports()
workspace_id = 12345678
# Get summary report
start = datetime(2025, 1, 1)
end = datetime(2025, 1, 31)
summary = reports.summary_report(
workspace_id=workspace_id,
start_date=start,
end_date=end,
grouping="projects"
)
print("Summary Report:")
for group in summary.get("groups", []):
total_hours = group.get("seconds", 0) / 3600
print(f" {group.get('id')}: {total_hours:.1f} hours")
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