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My Router

Community
yzhao062
my-router

Context-aware router that detects work type and dispatches to the right skill. Ships with a minimal default routing table; extend it in a fork, or register project-local skills in a consuming repo via routing-table.local.md or an AGENTS.local.md Routing section.

Overview

Publisheryzhao062
Repositoryanywhere-agents
Skill namemy-router
Stars
259
Forks
27
Bundled files
2
LicenseApache-2.0
Links
  • 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.

  • 2 bundled files

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

  • Open source

    Published by yzhao062 on GitHub. Read the source before you install it.

Installation

Install the My 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/yzhao062/anywhere-agents/tree/main/packages/pypi/anywhere_agents/composer/skills/my-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/yzhao062/anywhere-agents.git /tmp/anywhere-agents
mkdir -p .claude/skills
cp -r /tmp/anywhere-agents/packages/pypi/anywhere_agents/composer/skills/my-router .claude/skills/my-router
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable My 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 My 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 My 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.

My Router

Overview

A routing layer that sits between the outer workflow (e.g., superpowers brainstorm/plan/execute/verify) and domain skills. The router reads the working directory, file types, and user prompt to decide which skill to invoke, so the user does not need to remember skill names.

In this repo's shipped form, the routing table has concrete entries for the six shipped skills (implement-review, ci-mockup-figure, readme-polish, editable-figure, my-router itself, and prun for explicit parallel fan-out intent). It is also designed as a pattern you extend. A fork of this repo edits references/routing-table.md directly. A consuming project, where that file is overwritten on every bootstrap, instead registers its own skills in a bootstrap-proof local file (routing-table.local.md at the repo root, or a ## Routing section in AGENTS.local.md); the router reads those rows and dispatches to them. See Extending the Router.

When to Use Superpowers vs. Direct Dispatch

The router decides this. Not all tasks need superpowers' full ceremony.

Task shapeRouteWhy
Clear, scoped task with an obvious skill match (e.g., "review staged changes")Direct dispatch — router picks the domain skill and runs it immediatelyBrainstorming and planning add no value when the task is already well-defined
Open-ended, multi-step, or ambiguous task (e.g., "build a new feature", "restructure the paper")Superpowers first — brainstorm → plan → execute (router dispatches during execute) → verifyThese benefit from thinking before doing
Quick edit or fix (e.g., "fix the typo on line 42", "rename this variable")Neither — just do it directlyNo routing or workflow needed

The rule: if the domain skill is obvious and the scope is clear, skip superpowers and dispatch directly. If the task needs exploration or planning, let superpowers run the outer loop and the router dispatches during execution.

Integration with Superpowers

When superpowers is active, it handles workflow phases: brainstorm → plan → execute → verify. The router activates during the execute phase and dispatches to the right domain skill.

When superpowers is not active (direct dispatch or quick task), the router works standalone.

How Routing Works

At dispatch time, the router checks three signals in order (keywords, file types, project structure). In a consuming project, before applying the shipped table below, it first merges any consumer-local routing extensions: a routing-table.local.md at the repo root, or a ## Routing section in AGENTS.local.md. These two files survive bootstrap (the shipped table does not), so they are where a consuming repo registers its own skills; on a keyword or file-type conflict, the local row wins. See Extending the Router.

1. Prompt keywords (highest priority)

The user's prompt often contains the clearest signal. The shipped routing table includes keyword entries for implement-review, ci-mockup-figure, readme-polish, and editable-figure. Add entries for your own skills in your fork's references/routing-table.md, or, in a consuming project, in a bootstrap-proof local file (see Extending the Router).

When a figure request explicitly asks for PowerPoint or native editability, take the editable-figure route ahead of the generic figure, README-polish, or slide routes. A request to simplify an existing editable figure stays on that route. An explicit HTML mockup, TikZ, screenshot, or prompt-only request keeps its requested format. Before taking that route, check that the session can perform the desktop PowerPoint validation editable-figure requires. If it cannot, explain the limitation and offer ci-mockup-figure only when its output fits the request. Do not silently substitute HTML for an explicitly requested PPTX.

See references/routing-table.md for the current table and the extension template.

For a paper or proposal explanatory figure, especially an overview or "Figure 1", read editable-figure/references/gallery/index.md through the normal skill lookup. Do this whichever figure skill the route selects, including a project-local variant such as nsf-figure-builder. When working for Yue Zhao, enforce its required preference-first design protocol as the top design priority. Inspect selected images and feedback, map confirmed qualities to the new design, and carry that mapping into prompts and implementation. Compare the result against those references. Preserve the requested output format; reading the gallery does not require PowerPoint or change a prompt-only task into a figure build.

2. File types in working directory

If prompt keywords are ambiguous, inspect the files being worked on. The shipped router recognizes staged git changes → implement-review, HTML mockup files for dashboards/timelines → ci-mockup-figure, a top-level README.md flagged for polish → readme-polish, and .pptx figure sources beside a paper, proposal, or README → editable-figure. Add your own file-type rules when you add new skills.

3. Project structure hints

Some projects declare their type in AGENTS.local.md or via directory naming conventions (e.g., a proposals/ or papers/ directory, or a submodule pointing at a shared editorial repo). Use these hints to pick content-aware behavior when relevant to your skills.

Dispatch Rules

  1. Local-first override: before dispatching, scan skills/ (project-local) for any skill that is a more specific variant of the matched skill. If a local variant exists, use it instead of any pack-deployed or bootstrapped copy.
  2. If a prompt keyword matches → invoke that skill.
  3. If file context matches but prompt is vague (e.g., "help me with this") → state the detected context and proposed skill, ask the user to confirm before proceeding.
  4. If multiple skills could apply → state the candidates and ask the user to choose.
  5. If nothing matches → fall through to superpowers or general agent behavior. Do not force a skill where none fits.

Skill Lookup Order

In consuming project repos, skills can be project-local, pack-deployed, or bootstrapped from shared config. When dispatching, look for each skill in this order:

  1. skills/<name>/SKILL.md: project-local (highest priority). Projects can add their own skills here.
  2. .claude/skills/<name>/SKILL.md: pack-deployed by bootstrap from the configured packs (anywhere-agents pack add adds one). The .claude/ prefix is a historical Claude Code convention; the SKILL.md contents are agent-agnostic.
  3. .agent-config/repo/skills/<name>/SKILL.md: bootstrapped from the shared config repo.
  4. Installed plugins: agent-specific plugin skills (e.g., Claude Code plugins), check /skills output.

If a project-local skill matches the task better than a pack-deployed or bootstrapped skill, prefer the project-local one. The router itself follows this same lookup order.

Extending the Router

Where you register a new skill depends on whether you own this repo or only consume it. The mechanism is the same: a routing row keyed on prompt keywords, file types, and directory hints. Only the location differs, and it must survive your config-refresh path.

In a fork of this repo (you own the shipped table):

  1. Add the skill directory under skills/<your-skill>/.
  2. Add a row to references/routing-table.md.
  3. Add a matching .claude/commands/<your-skill>.md pointer so Claude Code can invoke it directly.

In a consuming project (this skill arrives via bootstrap, which deploys the configured packs):

Do not edit references/routing-table.md here. Every on-disk copy (.agent-config/repo/skills/my-router/, .claude/skills/my-router/) is overwritten on the next bootstrap or pack verify --fix. Register your skill where bootstrap never reaches:

  1. Add the skill directory under skills/<your-skill>/ (project-local, bootstrap-proof by construction).
  2. Register its routing in either of these bootstrap-proof files:
    • routing-table.local.md at the repo root, using the same table format as references/routing-table.md; or
    • a ## Routing section in AGENTS.local.md, convenient when you already keep project overrides there.
  3. Optionally add a project-local .claude/commands/<your-skill>.md pointer. The bootstrap copy step is non-destructive and never deletes command files absent from upstream, so a consumer-only pointer survives.

At dispatch time the router merges these local rows on top of the shipped table; on a keyword or file-type conflict, the local entry wins. Both routing-table.local.md and AGENTS.local.md sit outside the set of files bootstrap rewrites, so the registration persists across refreshes.

Combining with Implement-Review

When review is needed after a domain skill finishes:

  1. Domain skill runs (e.g., code changes, paper edits)
  2. Changes are staged
  3. Router dispatches to implement-review with the appropriate lens (code, paper, proposal, general)
  4. Reviewer applies the lens-specific criteria

See implement-review/SKILL.md for the review loop protocol.

Examples

User says: "Review this" → Router detects: staged changes exist → dispatches to implement-review; content-type lens (code, paper, proposal, general) selected based on staged files.

User says: "Build the feature and review it" → Router detects: code context → superpowers handles the build, then router dispatches to implement-review with code lens.

User says: "Make an HTML mockup for the method figure" → Router detects: keyword "mockup" → dispatches to ci-mockup-figure.

User says: "Polish the README with modern patterns" → Router detects: keyword "polish README" → dispatches to readme-polish.

User says: (anything else, shipped router has no rule) → Router falls through to superpowers or general agent behavior. Add more rules in references/routing-table.md (in a fork) or in routing-table.local.md / an AGENTS.local.md ## Routing section (in a consuming project).

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 My Router AI skill do?

Context-aware router that detects work type and dispatches to the right skill. Ships with a minimal default routing table; extend it in a fork, or register project-local skills in a consuming repo via routing-table.local.md or an AGENTS.local.md Routing section.

Why use My Router on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yzhao062/anywhere-agents/tree/main/packages/pypi/anywhere_agents/composer/skills/my-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 My 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 My Router?

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

Is the My Router AI skill free?

Yes. It is published on GitHub by yzhao062 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.

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