tree-ring-memorylisted

# Tree Ring Memory ## Overview Use this skill to operate Tree Ring Memory as a lifecycle-aware memory layer for AI agent work. Tree Ring Memory is for durable decisions, lessons, warnings, project conventions, user preferences, and future seeds. It is not a transcript dump or a background scraper. The core idea is that agent memory should age deliberately: - fresh work can stay detailed while it is still active - older lessons should compress into stable summaries - important failures and warnings should remain visible - durable preferences and project truths should become high-confidence memory - speculative follow-ups should stay separate from confirmed facts - sensitive data should be blocked, redacted, or forgotten ## When to Use Use this skill when: - The user asks the agent to remember, recall, consolidate, redact, or forget. - A task depends on previous project decisions, preferences, or warnings. - The agent is starting or resuming work in a repository with Tree Ring Memory or a project-local `.tree-ring` directory. - A test, incident, PR, benchmark, or review produces a lesson that should help future work. - A source document such as `AGENTS.md`, DOX, or Revolve contains durable guidance that should be summarized into memory. - The agent needs to audit stored memory before a risky change. ## Do not use Do not use this skill as the primary guide for: - Short-lived scratch notes that should disappear after the task. - Raw chain of thought or hidden reas