channel-context-bridge

name	channel-context-bridge
version	1.0
category	openclaw-native
description	Writes a resumé card at session end so context survives channel switches — and auto-injects it as a primer at the start of any new session
stateful	true

channel-context-bridge

When a user switches channels (Telegram → Slack, mobile → desktop, personal → work), the new session starts with zero memory of the prior conversation. The user must re-explain context, repeat decisions, and re-establish what's in progress.

This skill writes a compact "resumé card" at session end and injects it automatically as a context primer at the start of any new session — in any channel.

Difference from task-handoff

task-handoff bridges incomplete tasks between agents across restarts. channel-context-bridge bridges conversation context for the same user switching between channels mid-task.

End-of-session protocol

At the end of any session containing meaningful work, the agent should:

1. Write resumé card to ~/.openclaw/workspace/session-bridge/latest.md

2. The card contains:

   • What we were doing: 1-sentence topic
   • Key decisions made: bulleted list, max 5 items
   • Open questions: things left unresolved
   • Next actions: specific steps to take next
   • Critical context: anything the next session needs to know to avoid wrong assumptions
   • Written at: timestamp, source channel

3. Keep last 7 cards as latest.md, prev-1.md, ..., prev-6.md

python3 bridge.py --write \
  --topic "Refactoring auth module" \
  --decisions "Use JWT; middleware in /lib/auth" \
  --next "Write tests for TokenValidator"

Start-of-session protocol

At the start of any new session:

1. Check for a recent resumé card (< 24 hours old): python3 bridge.py --check
2. If found, inject as context primer: "Picking up from [source channel] at [time]: [topic]. Key decisions: [decisions]. Next: [next-actions]."
3. If card is > 24 hours old: surface it but don't auto-inject — ask user if they want to resume

Manual resume

The user can always say "pick up where I left off" — the agent then reads the latest card and resumes explicitly.

python3 bridge.py --resume    # Print the latest card in human-readable form
python3 bridge.py --history   # Show last 7 cards