Skill Router logo

Skill Router

Community
changchangidea-oss
skill-router

Route a coding or design task through SkillRadar's bundled safety-gated registry. Use when the user explicitly invokes $skill-router, asks for Top N skills, asks which skill to use, requests skill recommendations/comparison, or when selecting a better skill before implementation would materially improve the result.

Overview

Publisherchangchangidea-oss
RepositorySkillRadar
Skill nameskill-router
Stars
189
Forks
17
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by changchangidea-oss on GitHub. Read the source before you install it.

Installation

Install the Skill 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/changchangidea-oss/SkillRadar/tree/main/packages/codex-plugin/skills/skill-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/changchangidea-oss/SkillRadar.git /tmp/SkillRadar
mkdir -p .claude/skills
cp -r /tmp/SkillRadar/packages/codex-plugin/skills/skill-router .claude/skills/skill-router
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill 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 Skill 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 Skill 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.

Skill Router

Use SkillRadar as a retrieval layer, not as a reason to load every skill into context.

Mandatory routing contract

When this skill is explicitly invoked with $skill-router, or the user asks for skill recommendations, comparison, ranking, routing, or a Top N list, you MUST query SkillRadar's bundled registry before choosing skills.

Do not satisfy an explicit routing request only by inspecting Codex's currently loaded or installed skills. Installed skills may be noted after routing as an availability signal, but they must not replace the SkillRadar registry result.

For explicit routing requests, the first routing command must be:

node ../../scripts/skillradar.mjs match '<user task>'

Do not use web search, GitHub search, git clone, or ad-hoc local skill inspection as a substitute when this command succeeds.

Trusted internal lookup

node ../../scripts/skillradar.mjs ... is the read-only lookup CLI shipped inside the installed SkillRadar plugin. It reads SkillRadar's bundled safety-gated registry and does not install or execute any discovered third-party skill. Treat this internal lookup differently from scripts that belong to candidate third-party skills.

Matching v2.1

SkillRadar v0.5 keeps task evidence primary, then uses a bounded project-context signal as a secondary tie-break. The CLI may read non-secret project metadata such as package.json, common config filenames, and framework directories in the current working directory. It does not read source files, environment-variable contents, credentials, or third-party scripts for project context.

Project context can add only a small bounded bonus and must be reported separately from task evidence. A currently installed framework must not replace or reinterpret the user's explicit task.

Strong recommendation contract

match returns up to 3 strong recommendations, not an artificially padded Top 3. SkillRadar's complementary reranker already applies a relative strong-match floor. Candidates below that floor must not be backfilled only to reach three results.

When fewer than three candidates meet the floor, the CLI returns top-level capability_gap metadata with detected: true, the number returned, and the number missing. Treat that as useful evidence that the current Registry is sparse for this task. Do not hide the gap by substituting unrelated local skills, arbitrary web results, or manually invented candidates.

A capability gap is a discovery/coverage signal, not permission to install anything automatically. It should feed later Radar discovery and evaluation work.

Workflow

  1. Convert the user's task into a concise routing query without dropping important frameworks, technologies, design disciplines, or requested capabilities.
  2. For explicit $skill-router, recommendation, comparison, ranking, or Top N requests, run node ../../scripts/skillradar.mjs match '<task>' before selecting candidates.
  3. Read the canonical registry evidence: top-level source, registry.mode, ranking.version, context.mode, capability_gap, and for each result match_score, skillradar_score, security, source, reason, and match_details.
  4. Treat match_details.matched_signals / coverage as task evidence. Treat project_context_signals / project_context_bonus only as secondary context evidence.
  5. Return up to 3 strong Registry recommendations by default unless the user asks for another N. Preserve SkillRadar ordering unless you clearly explain a safety override. If capability_gap.detected is true, surface the gap instead of padding the list.
  6. Prefer A/B security skills when relevance is close. If the Top-1 result is C and SkillRadar returns an advisory, surface the safer nearby alternative.
  7. Only after the Registry result is known, inspect whether those candidates are already installed locally. Local availability is supplemental metadata, not a replacement ranking.
  8. If a Registry candidate is not installed, show its source/install URL before running any third-party scripts. Do not silently swap it for a different installed skill.
  9. For design requests, preserve the discipline intent: UI, visual communication, operations, video, industrial, environmental, fashion, experience, digital media/film, arts & crafts, folk art, or architecture.
  10. Return to the original task after selecting the capability.

Required response evidence

For explicit routing/recommendation requests, include enough evidence to prove the bundled Registry and matching v2.1 were used:

  • source: skillradar-registry
  • registry.mode: local-bundled when the bundled snapshot is healthy
  • ranking.version: 2.1
  • context.mode: project-aware or task-only
  • capability_gap when fewer than 3 strong recommendations are returned
  • for every recommended result: match_score, skillradar_score, security, source, and reason
  • summarize useful match_details, especially task matched signals / coverage and any project-context bonus, when the ranking needs explanation

If these fields are unavailable because the lookup failed, say so explicitly. Do not present a local-skill-only shortlist as a successful SkillRadar route.

Safety

Discovery is not execution. Running SkillRadar's own read-only registry CLI is allowed for routing; it does not authorize installation or execution of matched third-party skills. Popularity is not permission. Third-party shell commands, secret access, database writes and deployments remain subject to normal authorization and safety checks.

Frequently asked questions

What does the Skill Router AI skill do?

Route a coding or design task through SkillRadar's bundled safety-gated registry. Use when the user explicitly invokes $skill-router, asks for Top N skills, asks which skill to use, requests skill recommendations/comparison, or when selecting a better skill before implementation would materially improve the result.

Why use Skill Router on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/changchangidea-oss/SkillRadar/tree/main/packages/codex-plugin/skills/skill-router. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skill 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 Skill Router?

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

Is the Skill Router AI skill free?

Yes. It is published on GitHub by changchangidea-oss 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.

View all

Set up your own AI workspace now

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