TypingMindTypingMindThe best frontend for AI
Repo Skills Router logo

Repo Skills Router

Organization
VectorSpaceLab
repo-skills-router

Routes substantive ML, AI, data, scientific-computing, and software-engineering requests to the smallest useful set of managed repository skills. Invoke proactively when a request names or implies a package, framework, model family, dataset, modality, workflow, backend, deployment target, evaluation method, or implementation approach that may benefit from repository guidance, even if no repository is named. Narrow progressively from area to family to repository root: inspect only the one or two most likely area pages; compare candidates by capability, task surface, model/data format, training versus inference versus evaluation intent, runtime constraints, and root-skill description; then open only the selected root and relevant sub-skills, references, or scripts. Select multiple repositories only when each adds a distinct capability. Do not load the whole collection, treat dependencies or incidental integrations as capabilities, choose by name alone, or force a match when no exact taxonomy family applies.

Overview

PublisherVectorSpaceLab
RepositoryAREX-Skill
Skill namerepo-skills-router
Stars
341
Forks
26
Bundled files
5
LicenseApache-2.0
Links
Skill sourceRepository
  • 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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by VectorSpaceLab on GitHub. Read the source before you install it.

Installation

Install the Repo Skills Router AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/repo-skills-router
  4. 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.
2

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/VectorSpaceLab/AREX-Skill.git /tmp/AREX-Skill
mkdir -p .claude/skills
cp -r /tmp/AREX-Skill/cli/packages/coding-agent/src/disco/skills/repo-skills-router .claude/skills/repo-skills-router
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Repo Skills Router 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 Repo Skills Router 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 Repo Skills Router 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.

Repo Skills Router

This bundled skill is the empty router template used by DisCo's repository skill importer. A generated live router contains the current area/family membership tables under references/areas/, references/families/, and references/index/. The bundled template contains the canonical taxonomy but no repository assignments.

Use progressive disclosure: let DisCo Researcher narrow the request from an area to a family and then to the smallest useful repository-skill set. The managed collection is already available to DisCo Researcher at runtime, so cross-agent export is not required for DisCo.

Routing procedure

  1. Identify the user's dominant capability, workflow, data/model format, and runtime intent.
  2. Read only the one or two most likely area pages.
  3. Compare the relevant family pages, especially when training, inference, evaluation, deployment, or similarly named repositories overlap.
  4. Open the selected repository root at ../repo-skills/<skill-id>/SKILL.md, then read only its relevant sub-skills, references, and scripts.
  5. If no exact family fits, do not force a repository match; continue with general task context or report that the managed collection has no exact route.

A repository may appear in several families. Choose the smallest set of roots that directly covers the request, and do not load every candidate listed on a family page.

Empty template state

The taxonomy is the only populated routing input in this bundled template. references/index/repositories.jsonl and references/index/assignments.jsonl are populated only by a collection build or import transaction. The live router is model-visible by default; the CLI may add disable-model-invocation: true only when the user explicitly disables automatic router selection.

Maintenance

The machine-readable files under references/index/ are the generated routing source of truth. Do not hand-edit area or family pages. For creation, verification, refresh, extension, import, or taxonomy changes, read references/maintenance.md and use the verified importer/updater transaction.

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 Repo Skills Router AI skill do?

Routes substantive ML, AI, data, scientific-computing, and software-engineering requests to the smallest useful set of managed repository skills. Invoke proactively when a request names or implies a package, framework, model family, dataset, modality, workflow, backend, deployment target, evaluation method, or implementation approach that may benefit from repository guidance, even if no repository is named. Narrow progressively from area to family to repository root: inspect only the one or two most likely area pages; compare candidates by capability, task surface, model/data format, traini...

Why use Repo Skills Router on TypingMind?

Because you install it once and use it with any model. Repo Skills Router 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 Repo Skills Router in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/repo-skills-router. 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 Repo Skills Router?

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 Repo Skills Router?

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

Is the Repo Skills Router AI skill free?

Yes. It is published on GitHub by VectorSpaceLab under the Apache-2.0 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.

Related AI Skills

View all
NousResearch logo

Huggingface Hub

NousResearch
OrganizationPopular

HuggingFace hf CLI: search/download/upload models, datasets.

53.5K
250.4K
Instructions
View
NousResearch logo

Pinecone

NousResearch
OrganizationPopular

Managed vector DB for production RAG and search.

53.5K
250.4K
1 files
View
NousResearch logo

Qdrant

NousResearch
OrganizationPopular

Vector search engine for production RAG systems.

53.5K
250.4K
2 files
View
NousResearch logo

Tensorrt Llm

NousResearch
OrganizationPopular

High-throughput LLM inference on NVIDIA GPUs.

53.5K
250.4K
3 files
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇