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 repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It provides a practical, configurable workflow for generating professional case studies tailored to technical audiences, with options for language, length, evidence type, and anonymity, making it a useful tool for marketing and customer success teams.
Who it is for
- B2B SaaS marketers
- Developer tools product marketers
- Customer success teams
- Technical content writers
Use cases
- Drafting sales or website case study pages
- Writing customer success stories for marketing materials
- Generating social media blurbs from case studies
- Creating bilingual (English/Chinese) case studies for global audiences
Strengths
- Structured deliverable with optional social blurb
- Supports multiple languages (en, zh, bilingual)
- Evidence-based proof types (metrics, quotes, mixed)
- Flexible length options (one-pager or long form)
Considerations
- Requires real customer facts and consent; no pure fiction
- Scope limited to B2B, SaaS, AI, and developer tools
- Not suitable for legal contracts or testimonials without consent
README quick start
Case Study Writer
Write B2B/devtools customer case studies: problem → solution → proof → quote → CTA.
中文简介： 你写可信的 B2B/开发者工具客户案例，证据优先于吹嘘。 — 详见 README.zh.md.
What this skill does
- You write credible customer case studies for SaaS/devtools — evidence over hype
- Scope: B2B SaaS, AI tools, developer tools
- Deliverable: Structured case + optional social blurb
- Triggers: case study, customer story, success story, win story, logo story.
Install
After this package is on GitHub:
npx skills add / --skill case-study-writer
Local monorepo: point your agent at skills/case-study-writer/ (this folder).
Options
| Option | Values | Default |
|---|---|---|
lang | en · zh · bilingual | en |
length | one-pager · long (1200–1800 words) | one-pager |
proof | metrics · quote-only · mixed | mixed |
anon | named · anonymous | named if allowed |
Runtime output language follows lang (default en). Skill docs stay EN-primary.
When to use
| Use | Don't |
|---|---|
| (see bullets) | (see bullets) |
Use
- Real customer win with some facts
- Sales/website case page draft
Don't
- Pure marketing fiction
- Legal contract or testimonial without consent
Deliverable
Structured case + optional social blurb
Full workflow, hard rules, and QA: see SKILL.md.
Example
Monorepo sample (if present): ../../output/samples/case-study-writer-example-01.md
License
MIT — see LICENSE.
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