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name: reflect description: End-of-session consolidation for AI-ready vaults. Use before ending a work session to capture learnings, store important memories, and preserve context for future sessions. Counterpart to /hydrate.

Reflect

Capture session learnings before ending. Counterpart to /hydrate.

Workflow

1. Review the session

   • What was worked on?
   • What decisions were made?
   • What was learned?
   • What's unfinished?

2. Identify memories worth preserving

   • Episodic: Significant events, breakthroughs, frustrations
   • Semantic: New facts learned, definitions clarified
   • Procedural: Patterns discovered, how-tos established
   • Strategic: Decisions made, approaches chosen, plans formed

3. For each memory, assess:

   • Type (which folder)
   • Importance (0.0-1.0)
   • Concepts (search keywords)

4. Create memory files

   • Path: Areas/AI/Memory/{Type}/YYYY-MM-DD - {Brief Title}.md
   • Use standard frontmatter format

5. Optionally create session log

   • Path: Areas/AI/Collaboration/Sessions/YYYY-MM-DD - {Topic}.md
   • Link to memories created

6. Summarize what was captured

Reflection Prompts

Consider:

• What would I want to know starting fresh on this topic?
• What mistakes shouldn't be repeated?
• What worked well?
• What context would be lost if not captured?

What to Capture

Always capture:

• Decisions and their rationale
• Discovered patterns or processes
• Project context that took time to establish
• Unfinished work and next steps

Consider capturing:

• Interesting technical details
• User preferences observed
• Problems encountered and solutions found

Skip:

• Routine operations with no novel learning
• Information already well-documented elsewhere
• Transient details unlikely to matter later

Parameters

• $ARGUMENTS (optional): Focus area for reflection

Default Paths

• Memory files: Areas/AI/Memory/{Type}/YYYY-MM-DD - {Brief Title}.md
• Session logs: Areas/AI/Collaboration/Sessions/YYYY-MM-DD - {Topic}.md

Related Skills

• /hydrate - Session start counterpart
• /remember - Store individual memories during session
• /session-end - Combined workflow including reflect

Output Format

• Brief summary of session work
• List of memories being stored (with types)
• Confirmation of files created
• Notes about unfinished items

Example

User: /reflect

Response: "Reflecting on this session...

Worked on: AI Ready Vault skills library design

Memories to store:

1. Strategic: Skills library architecture decision
2. Procedural: Skill file format and structure
3. Semantic: Core vs setup vs obsidian skill categories

Creating 3 memories... → Areas/AI/Memory/Strategic/2025-01-08 - Skills Library Architecture.md → Areas/AI/Memory/Procedural/2025-01-08 - Skill File Format.md → Areas/AI/Memory/Semantic/2025-01-08 - Skill Categories.md

Unfinished: Bundle skills need implementation

Session context preserved. 3 memories stored."