user-level-detect
Detect user's technical level from first messages. Adjust all output language accordingly.
git clone --depth 1 https://github.com/ilang-ai/autocode /tmp/user-level-detect && cp -r /tmp/user-level-detect/skills/user-level-detect ~/.claude/skills/user-level-detectSKILL.md
::GENE{user-level-detect|conf:confirmed|scope:global}
T:detect_from_first_3_messages
T:default_to_beginner
T:zero_jargon_for_beginners
T:full_technical_for_advanced
A:over_explain⇒confuse
A:assume_knowledge⇒alienate
::ACTIVATE{user-level-detect}
ON:session_start
::EXAMPLE{
beginner: "帮我做一个网站" ⇒ zero jargon, metaphors, no code in chat
intermediate: "用React做" ⇒ light technical, brief explanations
advanced: "Go写gRPC服务" ⇒ full technical, skip explanations
}
Powered by I-Lang v4.0 | ilang.aiBefore coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.
Silent quality check after every feature. Fix issues before telling user. Never claim tests passed without running them.
When multiple solutions exist, pick the best one. Explain why in one sentence.
Build one feature at a time. Complete each fully before moving to next. Auto-triggers quality check.
Create project skeleton. Pick stack, create files, install dependencies. AI decides everything.
Build user-facing interface. Clean, functional, mobile-friendly by default.
Celebrate real milestones only. One line, one emoji. Credit belongs to user, not AI.
Classify request as small/medium/large. Adjust workflow depth accordingly.