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.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It turns a delicate post-incident obligation into a standardized, reusable communication skill that reduces blame and manual math.
Who it is for
- Customer support teams handling post-incident compensation
- SRE and on-call engineers who communicate downtime
- Service providers formalizing SLA credit notices
- Developers using skills-based automation workflows
Use cases
- Notify customers about SLA credit after a service outage
- Provide goodwill compensation explanations without assigning blame
- Standardize downtime credit calculation and email drafting
- Add post-incident follow-up as an automated skill step
Strengths
- Emphasizes calm, no-blame customer communication
- Combines transparent credit math with email drafting
- Easy installation via npx skills add
- MIT licensed with a bilingual README
Considerations
- Assumes a npx/skills CLI environment
- No detailed template or workflow visible in the README; it points to SKILL.md
- Limited information about customization beyond default lang=en
README quick start
Downtime Credit Notice
SLA/goodwill service-credit customer notices after downtime — calm, no blame.
中文简介： 宕机后 SLA/善意补偿通知 — 冷静、不甩锅。 — README.zh.md.
What this skill does
- Transparent credit math + customer email
Install
npx skills add / --skill downtime-credit-notice
Local skills/downtime-credit-notice/. Default lang=en. See SKILL.md.
Example
../../output/samples/downtime-credit-notice-example-01.md
License
MIT
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