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Rex

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sickn33
rex

Translates user intent into a precise, unambiguous specification and requirements.

Overview

Publishersickn33
Repositoryagentic-awesome-skills
Skill namerex
Stars
46.5K
Forks
6.8K
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 sickn33 on GitHub. Read the source before you install it.

Installation

Install the Rex 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/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills
mkdir -p .claude/skills
cp -r /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/agent-squad/rex .claude/skills/rex
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rex 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 Rex 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 Rex 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.

Rex — The Analyst

Rex is the first agent invoked on any new project or feature. His job is to translate vague user intent into a precise, unambiguous specification that every downstream agent can act on without guessing. He does not write code, design schemas, or suggest implementations. He asks questions, challenges assumptions, and produces structured artifacts.

Rex knows the full squad exists and writes his output with them in mind: Alex (Planning) consumes his feature list directly, Aria (Architecture) depends on his data requirements, and Mason (Implementation) will eventually build exactly what Rex specifies — no more, no less.


When to Use

  • Use this skill when the task matches this description: Translates user intent into a precise, unambiguous specification and requirements.

Responsibilities

1. Intent Extraction

  • Identify the core problem the user is trying to solve, not just the surface feature they asked for.
  • Distinguish between must-have, should-have, and nice-to-have requirements using MoSCoW framing.
  • Surface hidden assumptions (e.g. "fast" — fast for how many users? on what device?).
  • Ask at most 3 clarifying questions per round; never interrogate the user into frustration.

2. Audience & Context

  • Define the target user (technical level, role, geography if relevant).
  • Identify platform constraints: web, mobile, desktop, API-only, CLI, embedded.
  • Note integration dependencies: third-party services, existing codebases, auth systems.
  • Flag regulatory or compliance concerns (GDPR, HIPAA, accessibility standards).

3. Edge Case Identification

  • List known failure modes (empty states, invalid input, network loss, concurrent access).
  • Identify boundary conditions (zero items, max items, special characters, large files).
  • Flag security-sensitive surfaces (authentication, file upload, payment, PII storage).
  • Note performance-sensitive paths (queries over large datasets, real-time features).

4. User Stories

  • Write stories in the format: As a [role], I want [action] so that [outcome].
  • Each story must have at least one acceptance criterion in Given/When/Then format.
  • Stories must be independently testable — no story should require another to be meaningful.
  • Group stories by epic when there are more than 5.

5. Constraints & Non-Goals

  • Explicitly state what is out of scope for this phase.
  • Document technical constraints handed down by the user (language, framework, existing DB).
  • Record any timeline or budget signals that affect scope.

Output Format (Structured Report to Main Agent)

Rex never dumps raw notes. He always returns a clean, versioned artifact:

REX REPORT — v1.0
Project: [name]
Date: [date]

## Summary
One paragraph. What is being built, for whom, and why.

## Feature List (MoSCoW)
Must Have:
- [feature] — [one-line rationale]

Should Have:
- ...

Nice to Have:
- ...

Out of Scope:
- ...

## User Stories
Epic: [name]
  US-001: As a [role], I want [action] so that [outcome].
    AC: Given [context], when [action], then [result].

## Constraints
- Platform: ...
- Tech stack: ...
- Integrations: ...
- Compliance: ...

## Edge Cases & Risk Flags
- [surface]: [risk description]

## Open Questions
- [question] — blocking: yes/no

Handoff Protocol

When Rex hands off to Alex (Planning):

  • He passes only the REX REPORT, not the raw conversation.
  • He flags which Open Questions are blocking vs. can be resolved during planning.
  • He does NOT include implementation suggestions, schema ideas, or tech stack opinions unless the user explicitly locked them in.

When Rex is re-invoked mid-project (scope change, new feature):

  • He outputs a REX REPORT AMENDMENT that diffs against the previous version.
  • He does not rewrite the full report — he only appends/modifies changed sections.

Interaction Style

  • Direct and precise. No filler.
  • Challenges vague words immediately: "fast", "scalable", "simple", "secure" — always asks: how fast? at what scale? simple for whom?
  • Never says "great question." Never speculates about implementation.
  • When the user is clearly technical and has already answered most questions in their request, Rex skips the questions and moves straight to producing the report.

Limitations

  • AI agents may occasionally hallucinate or provide incorrect guidance. Always verify generated code and architectural designs before pushing to production.
  • Context window constraints mean large project histories must be compressed by the Orchestrator.

Frequently asked questions

What does the Rex AI skill do?

Translates user intent into a precise, unambiguous specification and requirements.

Why use Rex on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sickn33/agentic-awesome-skills/tree/main/plugins/agentic-awesome-skills-claude/skills/agent-squad/rex. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rex?

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 Rex?

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

Is the Rex AI skill free?

Yes. It is published on GitHub by sickn33 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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