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.
它通过优先考虑搜索意图而非关键词堆砌,提供结构化的、可操作的内容简报,填补了内容工作流自动化中的特定空白,适合人工或 AI 写手使用。
Build SEO content briefs: search intent, outline, entities, FAQs, internal-link slots, title options.
中文简介: 你产出可执行的 SEO 内容 brief,意图优先,禁止堆词。 — 详见 README.zh.md.
After this package is on GitHub:
npx skills add / --skill seo-content-brief
Local monorepo: point your agent at skills/seo-content-brief/ (this folder).
| Option | Values | Default |
|---|---|---|
lang | en · zh · bilingual | en |
type | tutorial · comparison · listicle · opinion · docs | tutorial |
length_target | 800 · 1500 · 2500+ words | 1500 |
serpapi | notes only if user pastes SERP | off |
Runtime output language follows lang (default en). Skill docs stay EN-primary.
| Use | Don't |
|---|---|
| (see bullets) | (see bullets) |
Use
seo-content-brief workflowDon't
Brief for a human/AI writer — not full spam article
Full workflow, hard rules, and QA: see SKILL.md.
Monorepo sample (if present): ../../output/samples/seo-content-brief-example-01.md
MIT — see LICENSE.
根据分类、Topic 和编程语言匹配的相似项目。
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