Track deep work sessions locally (start/stop/status) and generate a GitHub-contribution-graph style minutes-per-day heatmap for sharing (e.g., via Telegram). Use when the user says things like “start deep work”, “stop deep work”, “am I in a session?”, “show my deep work graph”, or asks to review deep work history.
Quickly install deepwork-tracker AI skill to your development environment via command line
Source: aaaaqwq/claude-code-skills.
Use the local deepwork app (SQLite-backed) at /clawd/deepwork/deepwork.js.
If /clawd/deepwork/deepwork.js does not exist, bootstrap it from the public repo:
(Do not fail the user request if clone/copy fails—still attempt other steps and report what’s missing.)
Track deep work sessions locally (start/stop/status) and generate a GitHub-contribution-graph style minutes-per-day heatmap for sharing (e.g., via Telegram). Use when the user says things like “start deep work”, “stop deep work”, “am I in a session?”, “show my deep work graph”, or asks to review deep work history. Source: aaaaqwq/claude-code-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill deepwork-trackerTrack deep work sessions locally (start/stop/status) and generate a GitHub-contribution-graph style minutes-per-day heatmap for sharing (e.g., via Telegram). Use when the user says things like “start deep work”, “stop deep work”, “am I in a session?”, “show my deep work graph”, or asks to review deep work history. Source: aaaaqwq/claude-code-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/aaaaqwq/claude-code-skills --skill deepwork-tracker Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/aaaaqwq/claude-code-skills