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 仓库情报摘要
FR-AI / ANALYSIS为什么值得关注
它通过可配置选项简化了 ADR 的创建，并针对经常忽略架构文档的小型团队，帮助他们维护持久的记录。
适合谁使用
- 小型软件团队
- 软件架构师
- 开发者
- 技术负责人
典型使用场景
- 记录技术栈/库/协议决策
- 记录跨团队选择某方案的理由
- 用新决策取代旧决策
- 创建轻量级类 RFC 的 ADR
项目优势
- 简洁的格式，小型团队易于维护
- 可配置选项（语言、格式、状态、编号风格、详细程度）
- 关注后果和状态，便于决策跟踪
- 采用 MIT 许可证，可通过 npx 轻松安装
使用前须知
- 仅适用于小型团队场景，可能不适用于企业级 RFC
- 需要 npx 安装和外部技能管理工具
- 不支持完整的多选项 RFC（建议使用单独的 rfc-outline 技能）
README 快速开始
ADR Writer
Write lightweight Architecture Decision Records for small teams: context → decision → consequences → status.
中文简介： 小型团队 ADR（背景→决策→后果→状态）。 — 详见 README.zh.md.
What this skill does
- You produce short, durable ADRs small teams actually maintain
- Scope: Small-team software architecture & tooling choices
- Deliverable: One ADR page with status + consequences
- Triggers: ADR, architecture decision record, tech decision log, RFC-lite ADR.
Install
After this package is on GitHub:
npx skills add / --skill adr-writer
Local monorepo: point your agent at skills/adr-writer/ (this folder).
Options
| Option | Values | Default |
|---|---|---|
lang | en · zh · bilingual | en |
format | madr · nygard · onepager | nygard |
status | proposed · accepted · deprecated · superseded | proposed |
id_style | sequential · date · none | sequential |
depth | lite · standard | standard |
Runtime output language follows lang (default en). Skill docs stay EN-primary.
When to use
| Use | Don't |
|---|---|
| (see bullets) | (see bullets) |
Use
- Stack/library/protocol decisions
- Cross-team “why we chose X”
- Superseding an old decision
Don't
- Daily task tickets
- Full multi-option RFC (use rfc-outline)
- Inventing decisions without stakeholders
Deliverable
One ADR page with status + consequences
Full workflow, hard rules, and QA: see SKILL.md.
Example
Monorepo sample (if present): ../../output/samples/adr-writer-example-01.md
License
MIT — see LICENSE.
Attribution
Forged with skill-github (local package; push via external tool). Upstream notes may live in workspace AUTHORS.md / sources/.
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