Menu
Sub-skill of time-tracking: 3. Toggl Track - Reports.
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/vamseeachanta/workspace-hub --skill time-tracking-3-toggl-track-reportsThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
Showing SKILL.md
Based on SOC occupation classification
| name | time-tracking-3-toggl-track-reports |
| description | Sub-skill of time-tracking: 3. Toggl Track - Reports. |
| version | 1.0.0 |
| category | business |
| type | reference |
| scripts_exempt | true |
Reports API:
# 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:
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
project_ids:
data[] = project_ids
user_ids:
data[] = user_ids
._request(
,
,
data
)
():
data = {
: start_date.strftime(),
: end_date.strftime(),
: page_size,
: first_row
}
._request(
,
,
data
)
():
data = {
: start_date.strftime(),
: end_date.strftime(),
: grouping
}
._request(
,
,
data
)
__name__ == :
reports = TogglReports()
workspace_id =
start = datetime(, , )
end = datetime(, , )
summary = reports.summary_report(
workspace_id=workspace_id,
start_date=start,
end_date=end,
grouping=
)
()
group summary.get(, []):
total_hours = group.get(, ) /
()