Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Runs asynchronous reflection after AI sessions end, extracting typed memories with confidence scores. Generates follow-up questions from each session and surfaces them when the user returns. Separate memory types track facts, commitments, preferences, and relationships across conversations.
Unlike passive note logging that requires manual review, it actively processes session content and generates questions the agent genuinely wants to ask rather than performing familiarity.
When to use it
- Surfacing forgotten follow-up questions at the start of a new session
- Tracking commitments made across multiple conversations
- Triggering automatic reflection after conversation idle time
- Building a persistent self-model for an AI agent over time
- Reviewing which inferences the agent holds with high vs low confidence
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Anything you wanted to follow up on?'
- 1Detects session ended with idle time exceeding the configured threshold
- 2Runs continuity reflect to analyze the most recent conversation
- 3Extracts structured memories with types such as fact, commitment, and relationship, each with a confidence score
- 4Stores generated questions in questions.md for the next session
- 5Runs continuity greet to surface the top pending questions to the returning user
A context-appropriate greeting with up to three pending questions drawn from prior session reflection