user-level-detect
Detect user's technical level from first messages. Adjust all output language accordingly.
Profile →npx skills add majiayu000/claude-skill-registry --skill user-level-detect-ilang-ai-autocode --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
::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 v3.0 | ilang.ai
What does the user-level-detect skill do?
Detect user's technical level from first messages. Adjust all output language accordingly.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill user-level-detect-ilang-ai-autocode --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.