user-background-interviewer
Deep background interview to surface domain fit and distribution advantages. See canonical definition in skills/user-background-interviewer/SKILL.md.
- License 许可
- MIT
- 最近更新
- 2026-06-16
- Stars
- ★ 512
- Forks
- 58
01 前言 Front Matter
- name
- user-background-interviewer
- description
- Deep background interview to surface domain fit and distribution advantages. See canonical definition in skills/user-background-interviewer/SKILL.md.
03 SKILL.md 正文
See skills/user-background-interviewer/SKILL.md for full instructions and output schema.
04 同仓库更多 Skills
weakness-detection
Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is.
user-segmentation-profiler
Classifies the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals. Run once per user session before any workflow.
user-background-interviewer
Conducts a deep background interview to understand what types of app ideas this specific user is most likely to succeed with based on their domain knowledge, networks, and skills.
trend-to-product-mapper
Maps viral social content and trending topics to concrete app opportunities by extracting the underlying problem and validating monetization fit.
trend-analysis
Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category. Writes a new file to memory/market_insights/.
tam-sam-som-builder
Estimates TAM, SAM, and realistic SOM for a B2C app idea using triangulated bottom-up methodology anchored to market_insights trend data, competitor revenue proxies, and community size signals. Includes indie capture rate benchmarks and growth-rate adjustments by trend velocity.