Can I review the entries before they are committed to Toggl?

Yes. The skill follows a mandatory confirmation phase where it presents a detailed table of proposed entries for your approval before calling the creation API.

What happens if a proposed entry overlaps with an existing one?

The skill checks for overlaps before creation, reports the conflict to you, and proposes a resolution—such as trimming the new entry—to maintain a clean timeline.

Does this skill require a local Toggl database?

It prefers a local SQLite database for high-fidelity desktop activity tracking, but it can fall back to the Toggl API timeline if the local file is unavailable.

How does it determine what tasks I was working on?

The skill launches subagents to analyze your Claude Code session transcripts, extracting specific tasks, project names, and file paths from your conversation and terminal activity.

Fill Toggl

Name: Fill Toggl
Author: sjawhar

bysjawhar

•

Productivity & Workflow

Automatically populates Toggl time entries by analyzing desktop activity, Claude Code sessions, and historical work patterns.

The fill-toggl skill streamlines time tracking for developers by bridging the gap between active coding sessions and administrative reporting. By analyzing Claude Code session transcripts alongside local Toggl desktop activity data, it intelligently identifies billable gaps, suggests accurate descriptions based on actual conversation context, and enforces data integrity rules like the single-tag requirement. This tool ensures that every minute of deep work is captured accurately without the manual overhead of constant timer switching, using AI subagents to categorize and describe your work blocks with high precision.

Key Features

01Enforces a strict single-tag rule per entry to ensure clean and professional reporting

02Uses AI subagents to analyze session context and suggest intelligent project assignments

03Supports both local SQLite database access and Toggl API for flexible data collection

042 GitHub stars

05Cross-references Claude Code session transcripts with desktop activity for high-fidelity timing

06Detects and fills time gaps while proactively preventing overlaps with existing entries

Use Cases

01Cleaning up messy Toggl logs that contain entries with multiple tags or missing project data

02Recovering billable hours after a long coding session where manual timers were forgotten

03Standardizing time entry descriptions across various projects using AI-driven conversation analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sjawhar/dotfiles fill-toggl

For use in Claude.ai and ChatGPT

Download Skill