Context Shunt

Community

alinaqi

context-shunt

Offload large / multi-file reads to a cheap worker model so raw files never enter Claude's context (token savings)

Overview

Publisher	alinaqi
Repository	`maggy`
Skill name	`context-shunt`
Stars	707
Forks	57
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by alinaqi on GitHub. Read the source before you install it.

Installation

Install the Context Shunt 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/alinaqi/maggy/tree/main/skills/context-shunt
Enable the skill in any chat where you want it available.

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/alinaqi/maggy.git /tmp/maggy
mkdir -p .claude/skills
cp -r /tmp/maggy/skills/context-shunt .claude/skills/context-shunt

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

Use it in TypingMind

Enable Context Shunt 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 Context Shunt 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 Context Shunt 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.

Context Shunt — Read Cheap, Keep Context Small

Reading big files into context is the most expensive thing an agent does for the least reasoning value. The shunt hands those reads to a cheap worker model (bulk-read) that answers a question about the files and returns a compact summary. The raw bytes never enter this session's context.

This is orthogonal to whole-turn routing (srooter / route-task): those pick the model for the turn; the shunt trims what a tool call pulls into context when the turn is legitimately here.

Decision: read raw, shunt, or graph?

Editing this exact file — read it raw. You need every line; never edit against a summary.
A fact/answer across large or many files — bulk-read "<question>" file....
A code symbol (function/class/route) — get_code_snippet(qualified_name): free and exact.
Small file (under threshold) you need in full — read it raw.

A shunt answer is for understanding, not for producing a diff.

Usage

bash
bulk-read "how does token refresh work?" src/auth/session.ts src/auth/refresh.ts
bulk-read "which config keys are read at startup?" $(git ls-files 'config/*.yaml')

bulk-read prints structured bullets citing path:line, or NOT FOUND IN PROVIDED FILES. A token-savings report goes to stderr.

Configuration

Env vars or ~/.claude/shunt.conf (see templates/shunt.conf):

SHUNT — on/off master switch for the PreToolUse hook.
SHUNT_MIN_LINES — large-read threshold (default 350).
SHUNT_MODE — suggest (default) / block / off for the hook's large-read action.
SHUNT_GRAPH_NUDGE — on/off once-per-session graph nudge.
SHUNT_MODEL — worker command (default deepseek --flash; also gemini-api --flash-lite, qwen3, glm).

The context-shunt-gate PreToolUse hook enforces the thresholds; this skill tells you when to reach for bulk-read yourself.

Frequently asked questions

What does the Context Shunt AI skill do?

Offload large / multi-file reads to a cheap worker model so raw files never enter Claude's context (token savings)

Why use Context Shunt on TypingMind?

Because you install it once and use it with any model. Context Shunt 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 Context Shunt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alinaqi/maggy/tree/main/skills/context-shunt. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Context Shunt?

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 Context Shunt?

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

Is the Context Shunt AI skill free?

Yes. It is published on GitHub by alinaqi under the MIT license. 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

Context Shunt — Read Cheap, Keep Context Small

Decision: read raw, shunt, or graph?

Usage

Configuration

Frequently asked questions

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