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 addresses the common pain point of messy support-to-engineering handoffs by standardizing the handoff as a concise, blame-free card, and it ships as an installable skill with an MIT license.
Who it is for
- Support engineers who need to hand off bugs or issues to engineering
- Engineering teams that want structured, actionable bug reports
- Developers building or using AI/CLI skills for workflow automation
- Technical support managers looking to standardize escalation processes
Use cases
- Creating a handoff pack when a support case needs engineering involvement
- Documenting repro steps and attaching artifacts for a bug report
- Summarizing the desired engineering action in a clear, neutral ask
- Standardizing escalation handoffs across support and engineering teams
Strengths
- Clearly scopes the output as an engineering-ready card with repro, artifacts, and a clear ask
- Emphasizes blame-free communication, which can improve cross-team collaboration
- Simple installation via npx skills add with no custom setup described
- MIT license permits wide reuse
Considerations
- README is minimal; full behavior requires reading SKILL.md
- Usage depends on the skills CLI ecosystem and its conventions
- No inline example or detailed process is shown in the README, so evaluation requires opening the linked sample
README quick start
CS→Eng Handoff
Support-to-engineering handoff packs: repro, artifacts, clear ask.
中文简介： 客服→工程交接包：复现、证据、明确请求。 — README.zh.md.
What this skill does
- Eng-ready card without blame
Install
npx skills add / --skill cs-eng-handoff
Local skills/cs-eng-handoff/. Default lang=en. See SKILL.md.
Example
../../output/samples/cs-eng-handoff-example-01.md
License
MIT
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