talos-continuous-learning

name	talos-continuous-learning
description	Use at the end of a session or after completing a significant task. This skill helps extract architectural insights, project-specific patterns, and "lessons learned" to be persisted in the project memory.

Talos Continuous Learning

Use this skill to ensure that the AI's "experience" in the Talos codebase is accumulated and shared across future sessions.

Load these first:

• ../planning/program-anchor-index.md
• ../planning/project-history.md

Workflow:

1. Reflect: Review the current session's accomplishments, challenges, and surprising discoveries (e.g., "The pre-commit hook has a false positive for absolute paths in its own source code").
2. Extract: Identify reusable coding patterns, specific project constraints, or "gotchas" that were encountered.
3. Persist: Use the save_memory tool with the project scope to save these lessons. Format them as concise, actionable facts.
4. Update: If the discovery significantly impacts the project's architecture or history, propose an update to ../planning/project-history.md.

Non-negotiables:

• Do not persist secrets or PII.
• Do not persist transient data; focus on long-term value.
• Do not repeat facts that are already in the project memory.

Done checklist:

• Session accomplishments reviewed.
• Key lessons learned identified and extracted.
• Actionable facts saved to project memory (save_memory).
• Final summary calls out the specific "instincts" or "lessons" learned.