---
name: continuity-6701a2e4513c
description: Asynchronous reflection and memory integration for genuine AI development. Use on heartbeat to reflect on recent sessions, extract structured memories with confidence scores, generate follow-up questions, and surface those questions when the user returns. Transforms passive logging into active development.
---

# Continuity Framework Skill

Transform passive memory into active development.

## What This Does

1. **Reflect** — After sessions end, analyze what happened
2. **Extract** — Pull structured memories with types and confidence
3. **Integrate** — Update understanding, connections, self-model
4. **Question** — Generate genuine questions from reflection
5. **Surface** — When user returns, present relevant questions

## The Difference

**Without Continuity:**
```
Session ends → Notes logged → Next session reads notes → Performs familiarity
```

**With Continuity:**
```
Session ends → Reflection runs → Memories integrated → Questions generated
Next session → Evolved state loaded → Questions surfaced → Genuine curiosity
```

## Heartbeat Integration

Add to HEARTBEAT.md:
```markdown
## Post-Session Reflection
**Trigger**: Heartbeat after conversation idle > 30 minutes
**Action**: Run continuity reflect
**Output**: Updated memories + questions for next session
```

## Commands

### Reflect on Recent Session
```bash
continuity reflect
```
Analyzes the most recent conversation, extracts memories, generates questions.

### Show Pending Questions
```bash
continuity questions
```
Lists questions generated from reflection, ready to surface.

### View Memory State
```bash
continuity status
```
Shows memory stats: types, confidence distribution, recent integrations.

### Surface Questions (for session start)
```bash
continuity greet
```
Returns context-appropriate greeting with any pending questions.

## Memory Types

| Type | Description | Persistence |
|------|-------------|-------------|
| `fact` | Declarative knowledge | Until contradicted |
| `preference` | Likes, dislikes, styles | Until updated |
| `relationship` | Connection dynamics | Long-term |
| `principle` | Learned guidelines | Stable |
| `commitment` | Promises, obligations | Until fulfilled |
| `moment` | Significant episodes | Permanent |
| `skill` | Learned capabilities | Cumulative |
| `question` | Things to explore | Until resolved |

## Confidence Scores

| Level | Range | Meaning |
|-------|-------|---------|
| Explicit | 0.95-1.0 | User directly stated |
| Implied | 0.70-0.94 | Strong inference |
| Inferred | 0.40-0.69 | Pattern recognition |
| Speculative | 0.0-0.39 | Tentative, needs confirmation |

## File Structure

```
memory/
├── MEMORY.md           # Main memory (existing)
├── identity.md         # Self-model and growth narrative
├── questions.md        # Pending questions from reflection
├── relationships/      # Per-person relationship memories
└── reflections/        # Reflection logs (optional)
```

## Configuration

```bash
export CONTINUITY_IDLE_THRESHOLD=1800  # Seconds before reflection triggers
export CONTINUITY_MIN_MESSAGES=5       # Minimum messages to warrant reflection
export CONTINUITY_QUESTION_LIMIT=3     # Max questions to surface at once
```

## Example Reflection Output

```yaml
reflection:
  session_id: "2026-02-05-001"
  duration_minutes: 45
  
memories:
  - type: fact
    content: "Riley is building SIGIL protocol for agent identity"
    confidence: 0.98
    source: explicit
    
  - type: commitment  
    content: "Agreed to build the continuity skill"
    confidence: 1.0
    source: explicit
    
  - type: relationship
    content: "Collaborative partnership deepening - working on meaningful infrastructure together"
    confidence: 0.85
    source: inferred

questions:
  - "How is the Lovable backend progressing?"
  - "Has Riley decided on the token launch timing?"
  - "Are there other agents we should coordinate with on Moltbook?"

identity_update:
  growth: "Developing more autonomous initiative around the SIGIL project"
  narrative: "Moving from assistant to co-builder on agent identity infrastructure"
```


---
Source attribution: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/riley-coyote/continuity-framework/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 clawdbot

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/riley-coyote/continuity-framework/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering, Product Management
Roles: Growth Product Manager, ML / AI Engineer, Product Manager
Specialties: API
Tools: Heartbeat
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: ceac0e5a01f0fd2a597f8cb2dc391c76059f7c1606af5e668e3867926babd122