R&D Weekly Report Generator
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Please install @user_36a6468b/weekly according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Engineering weekly reports are often cluttered with environment setup, networking, ports, model downloads, and debugging details. Managers need a concise version that keeps R&D outcomes and removes operational noise.
How It Works
The skill accepts a date range plus work logs, chats, meeting notes, or commit summaries. It extracts candidate items, keeps R&D, product, feature, architecture, data, Agent, RAG, Prompt, Skill, parsing, generation, scoring, review, and export work, then filters out Docker, containers, system installation, startup failures, CPU/GPU deployment, and network troubleshooting. Related items are merged into higher-level achievements. If dates exist, only dated sections with retained work are emitted; without dates, weekday placement is not invented and the report defaults to this week.
Boundaries
It is suited for manager-facing R&D weekly reports in engineering, AI, agent, and document parsing teams. It should not be used as a formal performance summary, and it will not invent completion status, metrics, owners, module names, or dates. Mixed business and operational items keep the business outcome only.
Use Cases
- Compile this week's commits, meeting notes, and chat logs into a manager-ready R&D weekly report
- Filter Docker, environment setup, and debugging details while keeping business feature and RAG outcomes
- Merge scattered body generation, scoring criteria, and table parsing items into higher-level R&D results
- Generate dated sections from the last 7 days without inventing unfinished work
Best For
- R&D engineers who need to turn scattered commits and debugging notes into manager-ready outcome reports
- Algorithm engineers extracting RAG, Prompt, and model experience improvements into weekly highlights
- Agent owners consolidating Agent, Skill, and knowledge base progress into management reports
- Document parsing engineers writing body generation, table parsing, and scoring criteria outcomes as bullets
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