Record deep work sessions locally by starting, stopping, and checking their status. Review time spent by day in text reports or a contribution graph style heatmap, with formats suited to sharing through messaging tools such as Telegram.
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.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
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:
mkdir -p ~/clawd
cd ~/clawd
# Clone if missing
[ -d ~/clawd/deepwork-tracker/.git ] || git clone https://github.com/adunne09/deepwork-tracker.git ~/clawd/deepwork-tracker
# Ensure expected runtime path exists
mkdir -p ~/clawd/deepwork
cp -f ~/clawd/deepwork-tracker/app/deepwork.js ~/clawd/deepwork/deepwork.js
chmod +x ~/clawd/deepwork/deepwork.js
(Do not fail the user request if clone/copy fails—still attempt other steps and report what’s missing.)
Run via exec:
~/clawd/deepwork/deepwork.js start --target-min 60~/clawd/deepwork/deepwork.js stop~/clawd/deepwork/deepwork.js status~/clawd/deepwork/deepwork.js report --days 7 --format text~/clawd/deepwork/deepwork.js report --days 7 --format telegram~/clawd/deepwork/deepwork.js report --mode heatmap --weeks 52 --format telegram~/clawd/deepwork/deepwork.js start --target-min 60 (or another target if the user specifies it).~/clawd/deepwork/deepwork.js stop.~/clawd/deepwork/deepwork.js report --days 7 --format telegram.8551040296) using the message tool with a Markdown monospace code block.If the user wants different ranges, support --days 7|14|30|60.
(Heatmap is still available via --mode heatmap --weeks ... when explicitly requested.)
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Set up and use the 1Password command-line tool `op` to sign in, verify account access, and work with vault data. The skill covers single or multiple accounts and shows how to run commands or fill templates with secrets while limiting exposure in logs and files.
Check live prices, price changes, and trading volume for Shanghai, Shenzhen, and Beijing stocks. Review intraday volume patterns and possible large-investor activity, and manage holdings with cost, quantity, and profit or loss summaries.
Scan HTML or JSX files and directories for accessibility issues such as missing image descriptions, form labels, and keyboard access problems. The skill identifies WCAG guideline failures and provides suggested code fixes alongside its findings.
Plan A/B tests that compare page or product changes, with clear hypotheses, sample sizes, success metrics, and traffic allocation. Get a structured test plan and guidance for interpreting results and deciding what to try next.
Turn LinkedIn profile URLs into coordinated account-based outreach. The workflow gathers profile details, enriches contacts with email and phone data, looks up mailing addresses, and prepares email, LinkedIn, and handwritten-letter touches with the specified services.
Work with Apple Calendar on macOS to list calendars, find and view events, and check busy time slots across calendars. Create, update, or delete events with details such as dates, locations, and descriptions.