Background
Content teams often face:
- Sources scattered across links, docs, and chats
- Inconsistent structure and format
- Broken handoffs between planning and publish
- No reusable retro pattern
This use case connects input → structure → output → retro into a repeatable loop.
Key steps
- Collect inputs: links, meeting notes, last week's retro, channel highlights.
- Structure and dedupe: categorize, extract key points, archive by column.
- Output: weekly content plan, daily board, risk flags for human review.
- Retro: which topics performed, which sources were useful, what took longest.
Workflow sketch
Input sources → Structure & dedupe → Document output → Team review → Publish handoff → Write retro
Skill recommendations
openclaw skills install @clawhub/tavily
openclaw skills install @clawhub/summarize
Optional: Content Collector or similar for auto-ingesting links into a knowledge base or table.
Expected results
- Input pool organized with 10+ items archived
- Weekly topics prioritized and sorted
- Risk items flagged for human confirmation
- Feishu doc or equivalent with a stable weekly plan template
Common pitfalls
- Automating full publish before templates and review loops are stable
- Expanding channels before a fixed output format exists
- Debugging becomes hard when models, skills, and channels all change at once
Related pages
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Official docs → docs.openclaw.ai
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Issues → GitHub Issues