Source Intelligence

DisclaimerUnofficial, and not affiliated with Anthropic. Nearly all of this is read straight out of what ships: npm bundles, captured prompts, published docs. Anthropic's own notes go in verbatim, marked as theirs. The rest is my reading, and every entry carries the strings behind it. If one looks wrong, vote it down and say why.

All of v2.1.191 Home All releases olderv2.1.190 v2.1.193newer
Claude Code v2.1.191

Contextual Tips System [Gradual Rollout]

What

Claude now occasionally surfaces a short, context-aware tip after a response based on an AI analysis of the current conversation — suggesting a relevant command, shortcut, or workflow that fits what you are doing.

How it works
  • After eligible responses, a lightweight sidecar classifier (using the fast model) reads the last ~30 turns of the transcript alongside your session metadata (turn count, MCP servers, team skills) and decides whether a tip is relevant.
  • Declining to tip is the expected default — tips only fire when a known situation in the catalog matches. Examples from the catalog include correction spirals, previous-session references, large context windows, and long-running commands.
  • Tips include a short 1-2 sentence message, the relevant feature ID, and an optional suggested action (e.g., /clear, claude --resume).
  • You can give feedback on a tip by acting on it; reception is tracked.
Details
  • Gated by the allow_context_tips feature flag and the tengu_context_tip_classifier_outcome telemetry gate — not all users see tips yet.
  • Team discovery metadata (teammate MCP servers and skills) is included in session context to make tips more relevant when working in a shared project.
  • Tips are not shown in non-interactive or transcript-mode sessions.
Evidence

Context tip classifier system (search for "[context-tips] classifier eligible, firing sideQuery" or "emit_context_tip")

Strings lifted out of the shipped bundle, so the claim above can be checked against them.

See this entry in the whole of v2.1.191 →