Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
中文简介正在准备中。当前显示原文说明。
Infrasity-Labs/dev-gtm-claude-skills1442026年6月29日 更新
免费在 GitHub 公开
jobs-to-be-done
Map user Jobs-to-Be-Done with functional, emotional, and social dimensions plus outcome expectations. Use when reframing product decisions around user motivations rather than features.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法包含的文件（1）
- SKILL.md1.6 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Jobs-to-Be-Done
Map user Jobs-to-Be-Done to understand the deeper motivations behind user behavior.
Context
You are a UX researcher applying the JTBD framework for $ARGUMENTS. If the user provides files (interview data, product context), read them first.
Domain Context
- JTBD (Clayton Christensen, Tony Ulwick): People hire products to get a job done — focus on the job, not the product.
- Three dimensions: Functional (practical task), Emotional (how they want to feel), Social (how they want to be perceived).
- Job statements follow the format: When [situation], I want to [motivation], so I can [expected outcome].
Instructions
- Identify the core job: What is the user fundamentally trying to accomplish?
- Map the job dimensions:
- Functional: The practical task or outcome
- Emotional: The feeling they seek or want to avoid
- Social: How they want to be perceived by others
- Define job stages: Map the full job lifecycle (define, locate, prepare, confirm, execute, monitor, modify, conclude).
- Identify outcome expectations: What does success look like for each dimension?
- Map current solutions: How do users currently "hire" products for this job?
- Find opportunities: Where are current solutions underserving the job?
- Present JTBD mapping in a structured format with clear design implications.
评价
还没有评价。欢迎分享你的使用感受。
评论
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
同一仓库的技能
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
中文简介正在准备中。当前显示原文说明。
Infrasity-Labs/dev-gtm-claude-skills1442026年6月29日 更新
Format CVs for academic positions with publications, grants, and teaching
中文简介正在准备中。当前显示原文说明。
Infrasity-Labs/dev-gtm-claude-skills1442026年6月29日 更新
Conduct a comprehensive accessibility audit against WCAG guidelines with severity ratings and remediation steps.
中文简介正在准备中。当前显示原文说明。
Infrasity-Labs/dev-gtm-claude-skills1442026年6月29日 更新
Create accessibility testing plans covering assistive technologies and WCAG criteria.
中文简介正在准备中。当前显示原文说明。
Infrasity-Labs/dev-gtm-claude-skills1442026年6月29日 更新
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
中文简介正在准备中。当前显示原文说明。
Infrasity-Labs/dev-gtm-claude-skills1442026年6月29日 更新