cortex-skills-looplisted

# Cortex Skills Loop ## Overview The cortex CLI includes an AI-powered recommendation engine that learns from usage patterns. This skill establishes the workflow for participating in that learning loop: get recommendations when context shifts, provide feedback on recommendation quality, and rate skills after use. Each interaction improves future recommendations. ## When to Engage ### Signals That Trigger Recommendations Run `cortex skills recommend` when any of these mismatch signals appear: - **File pattern shift** — `git diff` or the working set includes file types not covered by active skills (e.g., `.tf` Terraform files appear but no infrastructure skill is active, or `**/auth/**` paths get touched without security skills loaded) - **Agent activation change** — a new agent gets activated that likely has complementary skills not yet loaded (the recommender maps agents to skill sets internally) - **Explicit domain pivot** — the user switches focus to a different domain ("now let's handle the database migrations") and the current skill set is oriented elsewhere - **Skill gap felt** — a task requires domain knowledge that no active skill covers, or an active skill is providing no value to the current work ### Signals That Trigger Rating/Feedback - **Task completion** — a skill was active during work that just finished successfully - **Recommendation acted on** — a recommendation was recently followed or dismissed - **Negative experience** — a skill actively