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 delivers structured, one‑pager insights instead of bloated market reports, is installable as an agent skill, and offers customizable language, depth, and focus options.
SaaS/AI competitor teardown: positioning, pricing, feature matrix, landing-page hooks, and actionable "steal / avoid / gap" recommendations.
中文简介: SaaS/AI 竞品拆解(定位、定价、功能矩阵、落地页钩子、可执行建议)。 — 详见 README.zh.md.
After this package is on GitHub:
npx skills add / --skill competitor-teardown
Local monorepo: point your agent at skills/competitor-teardown/ (this folder).
| Option | Values | Default |
|---|---|---|
lang | en · zh · bilingual | en |
depth | quick (1–2 rivals) · standard (≤5) · deep (+ copy teardown) | standard |
focus | positioning · pricing · features · copy · all | all |
Runtime output language follows lang (default en). Skill docs stay EN-primary.
| Use | Don't |
|---|---|
| (see bullets) | (see bullets) |
Use
Don't
One-pager positioning + matrix + hook library + recommendations
Full workflow, hard rules, and QA: see SKILL.md.
Monorepo sample (if present): ../../output/samples/competitor-teardown-example-01.md
MIT — see LICENSE.
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