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Skill Router

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rohitg00
skill-router

The index of every pro-workflow skill and command, grouped by job, with when to reach for each and whether it is human-run or auto-triggered. Use when you are not sure which skill fits, want the full map, or ask "what can this do", "which skill for X", "list the workflow".

Overview

Publisherrohitg00
Repositorypro-workflow
Skill nameskill-router
Stars
2.9K
Forks
286
Bundled files
Instructions only
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 rohitg00 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.
  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/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p .claude/skills
cp -r /tmp/pro-workflow/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

You cannot hold 41 skills and 23 commands in your head. This is the index so you do not have to. Each entry says what it is for and how it fires: [human] you invoke it deliberately, [auto] the agent reaches for it from your prompt.

Keep this honest. When a skill is added, renamed, removed, or changes how it fits a flow, update this file in the same change. A router that points at a skill that no longer exists, or omits a new one, is worse than none.

How to use it

State the job in one line. Match it to a group below. If two skills look close, the when to reach clause is the tiebreaker. Most skills have a matching slash command of the same name, so this index covers commands too.

Self-correction and memory

  • learn-rule [human] - capture a correction as a durable rule loaded on every future session.
  • replay-learnings [auto] - surface past learnings relevant to the task before you start.
  • insights [human] - correction trends, heatmaps, productivity view.
  • skill-optimizer [human] - train a skill's SKILL.md against accumulated corrections.

Planning and decisions

  • plan-interrogate [human] - resolve every open decision before code; emits a decision ledger, a shared-language CONTEXT.md, and decision records.
  • domain-modeling [human] - build the project's shared vocabulary and bounded contexts up front.
  • improve-architecture [human] - audit an area and propose the smallest structural moves; plan, not rewrite.
  • thoroughness-scoring [auto] - score each decision point 1-10 so effort tracks stakes.
  • orchestrate [human] - wire commands, agents, and skills together for a multi-phase feature.

Multi-agent and parallel work

  • agent-teams [human] - lead plus teammates sharing one task list.
  • batch-orchestration [human] - split a large change into independent units, one agent each.
  • parallel-worktrees [human] - git worktrees for zero-dead-time parallel sessions.
  • sprint-status [human] - status across active parallel sessions.

Context and tokens

  • context-engineering [human] - Write, Select, Compress, Isolate; the memory taxonomy.
  • context-optimizer [human] - trim token usage when a session drags.
  • compact-guard [human] - preserve critical state before compaction.
  • token-efficiency [auto] - anti-sycophancy, tool-call budgets, one-pass output.
  • mcp-audit [human] - audit MCP servers for token overhead, redundancy, security.

Quality and review

  • tdd [human] - red-green-refactor loop with good-test guidance.
  • deslop [auto] - strip AI slop and over-engineering from the branch diff; also lints SKILL.md files.
  • smart-commit [human] - quality gates, staged review, conventional commit.
  • llm-gate [auto] - LLM-verified checks on commits, patterns, patches.
  • llm-council [human] - multi-LLM deliberation on a hard call.
  • safe-mode [human] - hook-enforced guard against destructive operations.

Design and writing

  • design-engineering [auto] - interface craft: motion decision framework, easing, timing, springs, component feel, visual foundations.
  • writing-guidelines [auto] - clear-writing standards for docs, UI copy, error messages, commit and PR text.

Knowledge and research

  • wiki-builder [human] - start and grow a persistent FTS5-indexed wiki.
  • wiki-query [auto] - BM25 retrieval over a wiki with citations.
  • wiki-research-loop [human] - budget-capped auto-grow of a wiki.
  • wiki-viewer [human] - self-contained HTML view of a wiki.
  • survey-generator [human] - structured literature survey on a topic.

Orientation, cost, lifecycle, setup

  • module-map [auto] - one-screen map of an unfamiliar area.
  • bug-capture [auto] - turn a reported defect into a domain-language issue.
  • cost-tracker [human] - session cost and budget alerts.
  • permission-tuner [human] - generate allow/deny rules from denial patterns.
  • wrap-up [human] - end-of-session ritual: audit, persist learnings, handoff.
  • session-handoff [human] - structured handoff doc for the next session.
  • file-watcher [human] - hooks that react to config/env/dep changes.
  • auto-setup [human] - configure gates, hooks, settings for a new project.
  • pro-workflow [auto] - the system overview; orchestration patterns and reference.
  • skill-router [human] - this index of every skill and command.

Command-only (no matching skill)

These slash commands ship without a skill of the same name: /commit, /develop, /doctor, /handoff, /learn, /list, /parallel, /replay, /search, /skill-optimize, /wiki.

Naming the invocation mode

Every skill declares one intent. [human] skills are deliberate, side-effectful, or session rituals and carry user-invocable: true. [auto] skills earn their place in context by a description precise enough to fire on the right prompt and stay quiet otherwise. See rules/skill-conventions.mdc for the full convention and the write-operation rules for state-changing skills.

Frequently asked questions

What does the Skill Router AI skill do?

The index of every pro-workflow skill and command, grouped by job, with when to reach for each and whether it is human-run or auto-triggered. Use when you are not sure which skill fits, want the full map, or ask "what can this do", "which skill for X", "list the workflow".

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/rohitg00/pro-workflow/tree/main/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?

It is published on GitHub by rohitg00. 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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