MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
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FR-AI / ANALYSISWhy it is worth attention
Turns routine documentation maintenance into a structured, owner-aware audit workflow rather than just flagging outdated content.
Who it is for
- Knowledge base maintainers
- Technical writers
- Documentation/platform teams
- Engineering teams owning help content
Use cases
- Prioritizing stale articles for fix or archive
- Assigning owners to outdated help documents
- Generating a freshness scorecard for tracking maintenance
Strengths
- Delivers a concrete scorecard and action list
- Simple install via npx skills add
- MIT licensed for reuse
- Supports a default language setting and includes a Chinese README
Considerations
- README does not explain the staleness criteria or scoring method
- No configuration or usage details beyond the install command
- The example output is referenced but not included in the README
README quick start
KB Freshness Audit
Audit stale help articles: prioritize fix/archive with owners.
中文简介： 审计过期帮助文：优先修复/归档并指定负责人。 — README.zh.md.
What this skill does
- Stale scorecard and action list
Install
npx skills add / --skill kb-freshness-audit
Local skills/kb-freshness-audit/. Default lang=en.
Example
../../output/samples/kb-freshness-audit-example-01.md
License
MIT
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