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.
它强制采用结构化、标准化的特性开关文档方法,减少技术债务并提高发布安全性,同时内置双语支持(英文/中文)。
Document feature flags: name, purpose, default, rollout, owner, kill switch, cleanup.
中文简介: 你写可运营、可清理的特性开关文档。 — 详见 README.zh.md.
After this package is on GitHub:
npx skills add / --skill feature-flag-docs
Local monorepo: point your agent at skills/feature-flag-docs/ (this folder).
| Option | Values | Default |
|---|---|---|
lang | en · zh · bilingual | en |
set | single · catalog | single |
Runtime output language follows lang (default en). Skill docs stay EN-primary.
| Use | Don't |
|---|---|
| (see bullets) | (see bullets) |
Use
feature-flag-docs workflowDon't
See SKILL.md deliverable.
Full workflow, hard rules, and QA: see SKILL.md.
Monorepo sample (if present): ../../output/samples/feature-flag-docs-example-01.md
MIT — see LICENSE.
根据分类、Topic 和编程语言匹配的相似项目。
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.

A structured investing guide for Chinese beginners covering US stocks, options, and cryptocurrency, with focus on foundational concepts and risk awareness.

A curated collection of Computer Science fundamentals (PDFs, notes, cheatsheets, interview question banks) for placement preparation, covering seven core subjects plus general resources.