Channel Context Bridge

Community

ArchieIndian

channel-context-bridge

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

Overview

Publisher	ArchieIndian
Repository	`openclaw-superpowers`
Skill name	`channel-context-bridge`
Stars	74
Forks	14
Bundled files	3
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ArchieIndian on GitHub. Read the source before you install it.

Installation

Install the Channel Context Bridge AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/channel-context-bridge
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/channel-context-bridge

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ArchieIndian/openclaw-superpowers.git /tmp/openclaw-superpowers
mkdir -p .claude/skills
cp -r /tmp/openclaw-superpowers/skills/openclaw-native/channel-context-bridge .claude/skills/channel-context-bridge

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Channel Context Bridge in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Channel Context Bridge on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Channel Context Bridge is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

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

Check for a recent resumé card (< 24 hours old): python3 bridge.py --check
If found, inject as context primer: "Picking up from [source channel] at [time]: [topic]. Key decisions: [decisions]. Next: [next-actions]."
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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Channel Context Bridge AI skill do?

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

Why use Channel Context Bridge on TypingMind?

Because you install it once and use it with any model. Channel Context Bridge is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Channel Context Bridge in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/channel-context-bridge. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Channel Context Bridge?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Channel Context Bridge?

As many as you like. As long as a model supports skills, you can use Channel Context Bridge with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Channel Context Bridge AI skill free?

It is published on GitHub by ArchieIndian. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

channel-context-bridge

Difference from task-handoff

End-of-session protocol

Start-of-session protocol

Manual resume

Bundled files

Frequently asked questions

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