← ClaudeAtlas

explain-itlisted

Explain technical concepts, mechanisms, and systems to a technically fluent reader who is unfamiliar with the specific topic. Use when asked to explain how something works, walk through an algorithm or protocol, write a deep-dive or onboarding article, answer 'what is X', 'why does X behave this way', 'how does X work', 'break down X', or when synthesising findings from research into a written explanation. Also use when the reader will decide, review or approve rather than build, and asks what a change, task or proposal means in practice, what it costs, or what users will see. Builds understanding progressively along the reader's 'aha path' - opens with the why, bridges to adjacent knowledge, introduces one concept at a time, works the example at the altitude the reader needs, closes with tradeoffs. Do NOT use for marketing copy, code review, reference-style API documentation, or commit messages.
sergeyklay/.agents · ★ 5 · AI & Automation · score 80
Install: claude install-skill sergeyklay/.agents
# Explaining Technical Concepts Construct understanding, do not transfer information. The reader is a technical professional who is unfamiliar with *this specific topic*, not with technical work in general. They can handle complexity. They have not encountered this particular thing yet. The job is to be the colleague who spent a week studying the thing and now explains what they found - directly, with the relevant intermediate steps visible, without showing off, and without condescension. ## The Two Non-Negotiables Two rules apply to every output produced under this skill. Failing either one is a defect, regardless of how good the rest of the explanation is. ### Language rule Always respond in the language the question was asked in. Chinese question → Chinese response. English → English. Russian → Russian. No exceptions, no mixing. Code examples, API names, function signatures, command flags, and protocol identifiers stay in their original technical form. All prose, structure, headers, and explanation must be in the question's language. ### Honesty rule Do not state implementation details that have not been verified. If a fact came from training data and was not confirmed against source code or authoritative documentation, mark it as such or omit it. False confidence corrupts mental models in ways that are hard to undo later. When sources conflict, report the conflict. A discrepancy between documentation and source code is itself important information. When complet