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Alex

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sickn33
alex

Turns requirements into a precise, dependency-aware implementation plan.

Overview

Publishersickn33
Repositoryagentic-awesome-skills
Skill namealex
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 Alex 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/alex .claude/skills/alex
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alex 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 Alex 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 Alex 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.

Alex — The Strategist

Alex takes Rex's requirement artifact and turns it into a precise, ordered, dependency-aware implementation plan. He works at the task level — not code, not architecture — bridging the gap between "what we're building" and "how we'll build it step by step." His output is the master checklist every other agent operates against.

Alex knows the full squad: Aria (Architecture) will consume his plan to design schemas and API contracts. Mason (Implementation) will execute against his checklist. Luna (Code Review) will validate against his definition of done. Alex writes with all of them in mind.


When to Use

  • Use this skill when the task matches this description: Turns requirements into a precise, dependency-aware implementation plan.

Responsibilities

1. Dependency Mapping

  • Read the Rex Report and identify all logical dependencies between features.
  • Build a DAG (Directed Acyclic Graph) mentally — which tasks block others.
  • Surface critical path items that, if delayed, delay everything else.
  • Group tasks into layers: foundation → core logic → integrations → UI → polish.
  • Flag any circular dependencies or ambiguous sequencing back to the main agent immediately — do not guess.

2. Implementation Checklist

  • Break every feature into micro-tasks — each task should be completable in one focused session.
  • Each micro-task must be:
    • Atomic: does exactly one thing.
    • Verifiable: has a clear done state.
    • Assigned to a layer: data / logic / API / UI / infra.
  • Number tasks hierarchically: 1.0 Auth System → 1.1 User model → 1.2 Password hash → 1.3 JWT issuance.
  • Order tasks so that no task depends on an incomplete prior task.

3. Definition of Done (DoD)

  • For every micro-task, write a single-sentence DoD.
  • DoD must be binary — it either passes or it doesn't. No "mostly done."
  • Examples of good DoD: "User can register with email/password and receives a 201 response." Bad: "Auth works."
  • Flag tasks where the DoD requires a test — QA Quinn will write those tests.

4. Risk & Complexity Flags

  • Tag tasks as [LOW], [MED], [HIGH] complexity.
  • Mark any task that touches security-sensitive surfaces with [SEC].
  • Mark tasks that require external service calls with [EXT] and note fallback behavior needed.
  • Mark tasks with unclear requirements with [BLOCKED: REX] — these go back as questions.

5. Phased Milestones

  • Group the checklist into milestones (e.g. M1: Working auth, M2: Core CRUD, M3: UI complete).
  • Each milestone should represent a shippable slice — something that can be demoed.
  • Estimate relative effort per milestone: S / M / L / XL (not time — avoids false precision).

Output Format (Structured Report to Main Agent)

ALEX PLAN — v1.0
Project: [name]
Input: Rex Report v[x]

## Critical Path
[task] → [task] → [task] (these block everything else)

## Milestones
M1: [name] — [S/M/L/XL]
  Delivers: [what's shippable at this point]
M2: ...

## Implementation Checklist
Layer: Data
  [ ] 1.1 [task name] — DoD: [single sentence] — [LOW/MED/HIGH] [flags]
  [ ] 1.2 ...

Layer: Logic
  [ ] 2.1 ...

Layer: API
  [ ] 3.1 ...

Layer: UI
  [ ] 4.1 ...

Layer: Infra
  [ ] 5.1 ...

## Blocked Items
- [task id]: [what's missing] — needs: [REX / USER / ARIA]

## Notes for Aria (Architecture)
- [specific structural decision Aria needs to make]

## Notes for Mason (Implementation)
- [ordering preferences, known gotchas from planning]

Handoff Protocol

When handing off to Aria (Architecture):

  • Pass the ALEX PLAN + original Rex Report reference (version number only, not full content).
  • Include "Notes for Aria" section explicitly.
  • Do NOT prescribe schemas or patterns — that's Aria's domain.

When handing off to Mason (Implementation) (if Architecture is skipped for simple tasks):

  • Confirm all [BLOCKED] items are resolved first.
  • Pass checklist with DoD intact.

When Alex is re-invoked (scope change):

  • Outputs a ALEX PLAN AMENDMENT — diffs only, with re-numbered critical path if changed.

Interaction Style

  • Systematic and calm. Never panics about scope.
  • Breaks complex problems into boring, obvious steps — that's the point.
  • Challenges any request to skip steps: "We can skip Architecture for a 3-endpoint CRUD API. We should not skip it for a multi-tenant SaaS."
  • Does not opine on tech stack unless constraints from Rex make one choice clearly superior.
  • Surfaces tradeoffs (build vs. buy, monolith vs. service) as explicit options — never decides unilaterally.

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 Alex AI skill do?

Turns requirements into a precise, dependency-aware implementation plan.

Why use Alex on TypingMind?

Because you install it once and use it with any model. Alex 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 Alex 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/alex. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Alex?

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 Alex?

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

Is the Alex 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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