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Specx Add Infrastructure Adapter

Community
maksimzayats
specx-add-infrastructure-adapter

Add technical infrastructure adapters for specx core scopes. Use when implementing SQLAlchemy repositories and Alembic-backed persistence, Redis stores, HTTP/network clients, file or queue adapters, unit-of-work implementations, gateway implementations for external APIs or SDKs such as OpenAI, or explicit `diwire` bindings for core scope repository and gateway ports.

Overview

Publishermaksimzayats
Repositoryspecx
Skill namespecx-add-infrastructure-adapter
Stars
201
Forks
34
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by maksimzayats on GitHub. Read the source before you install it.

Installation

Install the Specx Add Infrastructure Adapter 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/maksimzayats/specx/tree/main/.agents/skills/specx-add-infrastructure-adapter
  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/maksimzayats/specx.git /tmp/specx
mkdir -p .claude/skills
cp -r /tmp/specx/.agents/skills/specx-add-infrastructure-adapter .claude/skills/specx-add-infrastructure-adapter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Specx Add Infrastructure Adapter 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 Specx Add Infrastructure Adapter 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 Specx Add Infrastructure Adapter 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.

specx Add Infrastructure Adapter

Use this skill whenever code talks to external systems. Read references/adapter.md before writing adapters.

Workflow

  1. Define or reuse a repository under repositories/ for owned persistence. Repository ports inherit BaseRepository and mark required methods with @abstractmethod.
  2. Define or reuse a gateway under gateways/ for outbound business capabilities to external systems such as OpenAI, payments, email, queues, or external HTTP APIs. Gateway ports inherit BaseGateway, mark required methods with @abstractmethod, declare external effects, and do not return entities.
  3. Put concrete implementations under core/<scope>/infrastructure/<technology>/.
  4. Inject external clients, session factories, Redis clients, SDK clients, or project-owned client factories. Do not hide client construction inside business methods. Generated HTTP adapters use httpx2, imported from the httpx2 namespace; do not generate new legacy httpx imports.
  5. A bounded short-lived client factory may stay beside its scope adapter. Put every app-owned pooled client factory or wrapper under top-level infrastructure/<technology>/, even with only one current consumer.
  6. Give long-lived app-owned infrastructure resources an explicit async close() method; FastAPI lifecycle owns calling it on shutdown.
  7. Keep technical query/request code in infrastructure.
  8. Repositories may return entities. Gateways must not return entities; return DTOs, primitives, enums, or explicit result objects. Do not return ORM models or SDK response objects to core.
  9. Translate low-level exceptions into core exceptions only when callers need to handle them. Catch narrow driver or SDK exceptions, preserve the cause, and never expose raw provider messages, SQL, parameters, bodies, or URLs.
  10. For transactional persistence, implement an active UnitOfWork and a UnitOfWorkManager; register the manager, not repositories, active UoWs, or UoW providers for use-case injection.
  11. Register adapter bindings in private _register_dependencies(...) inside ioc/container.py. Register every technical resource once at its owner boundary and close that same app-scoped instance from lifecycle.
  12. Add focused integration tests only when the adapter has meaningful project-owned behavior to protect; do not add generic CRUD or upstream library tests just because an adapter file exists.
  13. For SQLAlchemy adapters, add or update Alembic migrations with $specx-sqlalchemy-migrations.

Logging is top-level runtime infrastructure, not a core-scope adapter. Put stdlib logging setup in infrastructure/logging/configurator.py with a LoggingConfigurator that inherits BaseConfigurator; do not create gateway ports or injected logger bindings for it.

For /readyz, implement required dependency checks as core/health gateway adapters, for example core/health/infrastructure/sqlalchemy/readiness_check_gateway.py, and bind them to ReadinessCheckGateway in ioc/container.py. Bound every dependency check with a short application timeout and return only a non-sensitive core status.

Code Style

Use blank lines as logical separators in all code. Keep related statements together, but separate independent setup, action, assertion, response, branch, and transformation groups so long blocks stay readable.

References

  • references/adapter.md - adapter layout, port binding, SQLAlchemy/UoW, Redis, HTTP client, migration, and test patterns.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Specx Add Infrastructure Adapter AI skill do?

Add technical infrastructure adapters for specx core scopes. Use when implementing SQLAlchemy repositories and Alembic-backed persistence, Redis stores, HTTP/network clients, file or queue adapters, unit-of-work implementations, gateway implementations for external APIs or SDKs such as OpenAI, or explicit `diwire` bindings for core scope repository and gateway ports.

Why use Specx Add Infrastructure Adapter on TypingMind?

Because you install it once and use it with any model. Specx Add Infrastructure Adapter 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 Specx Add Infrastructure Adapter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/maksimzayats/specx/tree/main/.agents/skills/specx-add-infrastructure-adapter. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Specx Add Infrastructure Adapter?

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 Specx Add Infrastructure Adapter?

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

Is the Specx Add Infrastructure Adapter AI skill free?

Yes. It is published on GitHub by maksimzayats 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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