Daily Work Log
Paste the following prompt into your AI chat to install this skill:
Please install @user_ca8ab7e4/daily-work-log following https://skillhub.cn/install/skillhub.md
About this skill
Problem
Daily work often remains scattered across chat turns, quick decisions, and debugging notes, making it hard to answer what was done, why it was chosen, and what to do next.
How It Works
The skill runs only when the user explicitly says 生成今日工作总结, so near matches like “daily report” do not trigger it. It combines the current conversation with the day's memory file under .workbuddy/memory/ and distills a fixed structure:
- Core outcomes: workflows completed, features optimized, or releases moved forward
- Key decisions and reasons: what changed and why
- Blockers and fixes: problems encountered and how they were resolved
- Effective prompts: reusable prompt text when available
- Next steps and idea pool: follow-up actions and new ideas from the day
The result is written as Markdown, defaulting to D:\AI_Projects\Daily_Logs; repeated runs on the same day append to the same file, preserving a continuous work trace.
Boundaries
It treats customer-sensitive data as a hard red line: no real names, IDs, bank details, credit information, or contract amounts. For data-related actions, it records the action only, not the data content. It is suitable for searchable, handoff-friendly work logs, not for reproducing full transcripts or processing sensitive business records.
Use Cases
- After handling several requests in a day, capture outcomes, key decisions, and blockers in a fixed format.
- When rules are adjusted repeatedly, record actions, reasons, and resolution paths as an auditable log.
- When useful prompts, next tasks, and new ideas are buried in a long conversation, extract them for follow-up.
Best For
- Project engineers who need to turn same-day processing into a handoff-ready log
- Business support staff handling customer data who must avoid sensitive details and record actions only
- Independent developers who want to capture prompts, decision rationale, and next steps from long conversations
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