memory-manage（内存管理）

memory-manage

Unified management of the ai-context/ memory layer. Three modes: init, update, maintain.

Triggers: /memory-init, /memory-update, /memory-maintain, initialize memory, update memory, maintain memory, memory housekeeping, clean ai-context

Mode Detection

Determine the mode from the invocation:

• /memory-init or "initialize memory" or "generate ai-context" → init mode
• /memory-update or "update memory" or "sync memory" or "record session" → update mode
• /memory-maintain or "maintain memory" or "memory housekeeping" or "clean ai-context" → maintain mode

Mode: init

Creates the 5 core ai-context/ files from scratch by reading the project.

Use when: Project has no ai-context/ yet, or you want to regenerate from scratch.

Process

1. Project inventory: Read configuration files, folder structure, README, representative source files, tests, CI/CD configs.
2. Generate files:

- ai-context/stack.md — tech stack, versions, key tools - ai-context/architecture.md — architectural decisions and rationale - ai-context/conventions.md — naming patterns, code conventions - ai-context/known-issues.md — known bugs, tech debt, gotchas - ai-context/changelog-ai.md — empty, ready for session entries

1. Feature stubs: Scan for bounded contexts (directories with domain logic). Create ai-context/features/_template.md and stub files for discovered domains.
2. Report: List files created and coverage summary.

Mode: update

Incrementally updates ai-context/ with work done in the current session.

Use when: After completing significant work (SDD cycles, architecture changes, bug fixes).

Process

1. Analyze session: Review what changed — files created/modified, decisions made, bugs fixed, conventions established.
2. Update relevant files:

- ai-context/stack.md — new dependencies, version changes - ai-context/architecture.md — new decisions, pattern changes - ai-context/conventions.md — new naming patterns, style changes - ai-context/known-issues.md — new issues found, resolved issues marked - ai-context/changelog-ai.md — append entry with date, summary, files affected - ai-context/features/<domain>.md — update if relevant domain was touched

1. Preserve: Never overwrite [manual] sections. Only update [auto-updated] markers.

Mode: maintain

Periodic housekeeping: archive old entries, separate resolved issues, detect gaps.

Use when: changelog-ai.md is long (30+ entries), known-issues has resolved items, or at the start of a new project phase.

Process

1. Changelog archival: If changelog-ai.md has more than 30 entries, move older entries to changelog-ai-archive.md.
2. Known-issues cleanup: Move resolved items from known-issues.md to known-issues-archive.md.
3. Index generation: Create/update ai-context/index.md listing all ai-context/ files with one-line descriptions.
4. Gap detection: Check if CLAUDE.md references ai-context/ files that don't exist. Report gaps.
5. Dry-run first: Present all proposed changes, require user confirmation before applying.

Rules

• Init mode MUST NOT run if ai-context/ already exists — warn and suggest update mode instead
• Update mode MUST NOT create new core files — only modify existing ones
• Maintain mode MUST present dry-run before any destructive action (archival, moves)
• All modes are read-heavy, write-light — the goal is accurate, concise documentation
• Never overwrite [manual] sections in any file
• Feature file updates follow the format defined in skills/feature-domain-expert/SKILL.md