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.
It addresses the common problem of keyword stuffing by prioritizing search intent and providing structured, actionable briefs that can be used by human or AI writers, filling a specific niche in content workflow automation.
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.
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