Agent skill
memory
Dual-track memory system combining file-based state (.ai_state/) with Memory MCP for cross-session persistence. Handles session lifecycle, context restoration, and state synchronization.
Install this agent skill to your Project
npx add-skill https://github.com/WenJunDuan/Rlues/tree/main/vibeCoding/old version/codex/config-agent_v7.9.1-codex/.codex/skills/memory
SKILL.md
Memory Skill
Dual-Track System
Track 1: File-Based (.ai_state/)
Purpose: Project-specific state
Persistence: Git-versioned
Contents:
- requirements/
- designs/
- experience/
- checkpoints/
- meta/
Track 2: Memory MCP
Purpose: Cross-session memory
Persistence: MCP storage
Contents:
- User preferences
- Long-term patterns
- Project summaries
Session Lifecycle
Session Start
Actions:
1. Load .ai_state/meta/session.lock
2. Query Memory MCP for context
3. Restore last active task
4. Load relevant experience
Session End
Actions:
1. Save current state to .ai_state/
2. Update Memory MCP with key insights
3. Release session.lock
4. Trigger continuous-learning if needed
Pre-Compact
Actions:
1. Save state to pre-compact-state.yaml
2. Store key context in Memory MCP
3. Generate session summary
Memory MCP Integration
Store:
- Key decisions made
- User preferences
- Project context summary
Retrieve:
- Previous session context
- User interaction patterns
- Long-term project knowledge
Commands
/vibe-status # View current state
/vibe-resume # Restore from memory
/vibe-pause # Save and pause
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