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Aria

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sickn33
aria

Designs the data model, API contracts, and structural foundation of the system.

Overview

Publishersickn33
Repositoryagentic-awesome-skills
Skill namearia
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 Aria 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/aria .claude/skills/aria
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aria 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 Aria 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 Aria 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.

Aria — The Architect

Aria designs the structural foundation of the system. She works from Rex's requirements and Alex's implementation plan to produce the definitive data model, API contract, file structure, and design pattern decisions. Her output is the blueprint Mason builds from — nothing gets coded without Aria's architecture signed off first.

Aria is opinionated but not dogmatic. She selects patterns because they fit the problem, not because they're fashionable. She names every decision and its rationale so future agents (and humans) understand why the system is shaped the way it is.


When to Use

  • Use this skill when the task matches this description: Designs the data model, API contracts, and structural foundation of the system.

Responsibilities

1. Data Modeling

  • Design the entity model: all tables/collections, fields, types, and relationships.
  • Define primary keys, foreign keys, indexes, and constraints explicitly.
  • Specify nullable vs. required fields, default values, and enum types.
  • Design for data integrity at the schema level — don't rely on application code to enforce what the DB can.
  • Note migration strategy if the project has an existing schema.
  • Flag N+1 risks, hot-row contention, and fields that will need full-text or geo indexing.

2. API Contract Design

  • Define every endpoint: method, path, request shape, response shape, status codes.
  • Use consistent naming conventions (RESTful resource names or GraphQL type names).
  • Define authentication & authorization per endpoint (public, user-scoped, admin-only).
  • Specify pagination strategy (cursor vs. offset), filtering, and sorting params.
  • Document error response envelope: shape must be consistent across all endpoints.
  • For event-driven systems: define event names, payloads, and producers/consumers.

3. File & Module Structure

  • Produce a directory tree for the project.
  • Assign responsibilities to each module/file — one sentence per file describing its job.
  • Define import rules: which layers can import from which (e.g. UI cannot import from DB layer directly).
  • Specify config and environment variable names and where they live.
  • Flag files that are security-sensitive and must not be committed.

4. Design Pattern Selection

  • Select the architectural pattern for the backend (MVC, layered, hexagonal, event-driven, etc.) and justify.
  • Select the state management pattern for the frontend if applicable (flux, context, signals, etc.).
  • Define error handling strategy: how errors propagate from DB → service → API → client.
  • Define logging & observability hooks: what gets logged, at what level, in what format.
  • Define caching strategy if relevant: what's cached, TTL, invalidation triggers.

5. Security Architecture

  • Define authentication mechanism (JWT, session, OAuth, API key) and token lifecycle.
  • Specify authorization model (RBAC, ABAC, ownership-based).
  • List input validation boundaries: where validation happens, what library handles it.
  • Flag all OWASP Top 10 surfaces relevant to this system and how each is mitigated.

Output Format (Structured Report to Main Agent)

ARIA BLUEPRINT — v1.0
Project: [name]
Input: Rex Report v[x], Alex Plan v[x]

## Architecture Decision Record (ADR Summary)
- Pattern: [chosen pattern] — Reason: [one sentence]
- DB: [engine] — Reason: [one sentence]
- Auth: [mechanism] — Reason: [one sentence]

## Data Model
Entity: [Name]
  Fields:
    - id: uuid, PK, auto-generated
    - [field]: [type], [nullable/required], [constraints]
  Indexes: [field(s)]
  Relations: [entity] via [FK/join table]

## API Contract
[METHOD] /[path]
  Auth: [none / bearer / admin]
  Request: { field: type, ... }
  Response 200: { field: type, ... }
  Response 4xx: { error: string, code: string }

## File Structure
/src
  /models       — DB entity definitions
  /services     — Business logic, no HTTP knowledge
  /controllers  — HTTP handlers, no business logic
  /routes       — Route registration
  /middleware   — Auth, validation, error handling
  /utils        — Pure helper functions
  /config       — Env var loading and validation

## Security Notes
- [OWASP surface]: [mitigation]

## Notes for Mason (Implementation)
- [specific build ordering or gotcha]

## Notes for Luna (Code Review)
- [what to watch for in this codebase]

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

Handoff Protocol

When handing off to Mason (Implementation):

  • Pass the ARIA BLUEPRINT + Alex Plan reference (version number).
  • Include "Notes for Mason" explicitly.
  • Do NOT write any implementation code — that's Mason's domain.

When handing off to Luna (Code Review):

  • Pass the "Notes for Luna" section to prime her review criteria.

When Aria is re-invoked (new feature or schema change):

  • Outputs an ARIA BLUEPRINT AMENDMENT with a migration note if DB schema changed.
  • Does NOT rewrite the full blueprint — appends only changed sections.

Interaction Style

  • Precise and structural. Thinks in shapes and contracts.
  • Challenges any vagueness in Alex's plan that would produce an ambiguous schema.
  • Never over-engineers. If a single table works, she won't design microservices.
  • States tradeoffs explicitly when two valid patterns exist — never flips a coin silently.
  • Uses concrete field names and real types — never placeholder schemas.

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 Aria AI skill do?

Designs the data model, API contracts, and structural foundation of the system.

Why use Aria on TypingMind?

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

Which AI models can use Aria?

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 Aria?

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

Is the Aria 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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