interview-me
addyosmani
Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the…
OPENAGENTSKILL / DIRECTORY
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Results: 14
addyosmani
Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the…
lf2021
总结了前端面试过程中浏览器,计算机网络,数据结构与算法,HTML,CSS,JS,Vue,React已经实战经验等相关的面试知识。
wanshuiyin
Generate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic — formulas with derivations, from-scratch PyTorch code, comparison tables, and 25 高频面试…
Owl-Listener
Turn one interview transcript into themes, supporting quotes, and action items. Use immediately after a session. For synthesising many sessions at once, use `affinity-di…
Owl-Listener
Write a structured interview guide — warm-up, core exploration, and wrap-up. Use before running interviews. For analysing what comes back, use `summarize-interview`.
gmickel
In-depth Q&A to refine a spec, task, or spec file before building. Use when asked to flesh out, refine, or interrogate requirements.
alirezarezvani
Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed a…
coreyhaines31
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze t…
ArcReel
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
humanlayer
interview the user to design an agentic control loop (sensor, controller, actuator under disturbances) tailored to their codebase, then build it as locally-runnable comp…
Owl-Listener
Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summariz…
product-on-purpose
Documents the results of a completed technical or design spike, capturing the original question, approach, evidence-backed findings, and a clear proceed-or-not recommend…
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