Collect activity traces and generate a structured daily worklog PDF.
npx skills add https://github.com/CNife/skills --skill worklog-cnife
Please help me install this Agent Skill. Skill: worklog Source: https://github.com/CNife/skills/tree/main/.archive/worklog Command: npx skills add https://github.com/CNife/skills --skill worklog-cnife
This Skill turns scattered activity traces from coding sessions, notes, and chat tools into a clear daily worklog, separating work from personal content and packaging everything into a readable report.
Ask the worklog skill to collect today’s activity traces, classify them into work and personal sections, generate the PDF report, and email it to the designated recipient.
High-intent search queries and answers about installing and using this skill.
To generate a daily worklog, you can collect scattered activity traces from OpenCode, Qwen Code, and Obsidian notes, then merge them into a structured timeline that separates work from personal content for a clear daily review.
Yes, automated work and personal classification is supported. The system applies topic matching and date context to place each activity into the correct section, ensuring your daily report accurately distinguishes professional tasks from personal notes.
The best way to convert activity traces into a PDF report is by using deterministic scripts. These scripts collect your session data, structure the timeline, and lay out the final write-up as a readable PDF document for end-of-day review.
Yes, email delivery for daily reports is supported. After generating the PDF document from your collected activity traces, the system can send it directly to a designated recipient for daily review and professional recap.
Yes, you can include Obsidian notes when assembling a daily worklog. The multi-source collection process gathers note changes alongside Pi Agent and Hermes sessions, merging all local data sources into one comprehensive report.
Time-range calibration for activity trace collection is handled natively. The system satisfies time-range calibration requirements by filtering session histories and note changes to match your specified daily window before generating the final worklog.
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