field-onboarding

field-onboarding is a Tutoring & exam preparation skill for AI agents, published by ljx-chase in the research-field-onboarding repository on GitHub. Skillspace rates field-onboarding C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Guide a researcher step by step into an unfamiliar research field, or decode a paper, abstract, figure caption, or referee comment they cannot parse. Builds understanding in rungs (motivation, vocabulary, core framework, methods, frontier), anchored to what the user already knows, with a checkpoint before each advance. Use when the user says they are new to a field, asks what a research area or method is, says an explanation was too technical, asks to be walked through something step by step, asks for a reading path, or supplies dense research text. Trigger even when the user only names an unfamiliar field or pastes an abstract without asking to be taught. Also trigger in other languages, including Chinese such as 入门, 一步一步讲, 看不懂, 这篇论文讲什么, 帮我理解这个领域. Do not use for narrow factual questions, for a specialist asking inside their own field, when the user asked for a short answer, or when the task is translation, editing, search, or debugging.

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

22

Unproven: rated by static analysis only, not yet compared head-to-head.

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