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.
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FR-AI / ANALYSISWhy it is worth attention
It distills the core discipline of product experimentation into a shareable, CLI-installable one-page card, making it easy for teams to align on hypotheses and decision rules.
Who it is for
- Product managers planning experiments
- Data scientists and analysts evaluating experiment outcomes
- Growth and product experimentation teams
- Engineering teams shipping product changes
Use cases
- Structuring a product experiment before launch
- Defining guardrails and stop/ship criteria
- Aligning stakeholders around primary metrics and decision rules
- Standardizing experiment documentation across a team
Strengths
- Focuses on a concise, falsifiable hypothesis and clear experiment guardrails
- Installable via npx and available as a local monorepo skill
- Includes guidance on when to use it, deliverables, and an example output reference
- MIT licensed for open reuse
Considerations
- The README is intentionally sparse; detailed rules live in SKILL.md
- Assumes familiarity with the npx/skills installation ecosystem
- It is a card template and process scaffold, not a full experimentation methodology
README quick start
Experiment Hypothesis
One-page product experiment card: hypothesis, primary metric, guardrails, stop/ship rules.
中文简介： 一页产品实验卡：假设、主指标、护栏、停止/上线规则。 — 详见 README.zh.md.
What this skill does
- Falsifiable hypothesis; guardrails; stop rules
Install
npx skills add / --skill experiment-hypothesis
Local monorepo: skills/experiment-hypothesis/.
Options
See SKILL.md Language & options table. Default lang=en.
When to use
See SKILL.md When to use / Hard rules.
Deliverable
See vertical lock in SKILL.md.
Example
See ../../output/samples/experiment-hypothesis-example-01.md.
License
MIT
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