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Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination. Use when capturing lessons from a session, managing instincts, or promoting them into skills, commands, or agents.
continuous-learning-v2 is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Continuous Learning v2.1 - Instinct -Based Architecture An advanced learning system that turns your Claude Code sessions into reusable knowledge through atomi. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding continuous-learning-v2 to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install gabrielmoreira/agent-skills-mirrorReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Continuous Learning v2.1 - Instinct -Based Architecture An advanced learning system that turns your Claude Code sessions into reusable knowledge through atomic "instincts" - smal