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Nexent Backend

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ModelEngine-Group
nexent-backend

Use when designing, implementing, debugging, or reviewing Nexent relational schemas, FastAPI endpoints, backend services, database access, SQL migrations, or backend/SDK configuration. Includes table/field naming, types, JSONB boundaries, audit fields, keys, and indexes even before code paths exist. Skip frontend-only work and unrelated SDK algorithms.

Overview

PublisherModelEngine-Group
Repositorynexent
Skill namenexent-backend
Stars
5.9K
Forks
737
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

    Published by ModelEngine-Group on GitHub. Read the source before you install it.

Installation

Install the Nexent Backend 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/ModelEngine-Group/nexent/tree/develop/.agents/skills/nexent-backend
  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/ModelEngine-Group/nexent.git /tmp/nexent
mkdir -p .claude/skills
cp -r /tmp/nexent/.agents/skills/nexent-backend .claude/skills/nexent-backend
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nexent Backend 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 Nexent Backend 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 Nexent Backend 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.

Nexent backend changes

Repository paths below are relative to the root; reference links resolve from this skill directory.

  1. Identify the affected boundary and inspect existing callers and contracts. Apps handle HTTP, services orchestrate business logic, and database modules own persistence.
  2. Read only the references matching the work. For end-to-end changes, read each affected layer before editing.
WorkReference
HTTP routes, validation, identity, response/error mappingHTTP layer
Business orchestration and domain errorsServices
Relational schema design, models, keys/indexes, queries, transactions, SQL migrationsDatabase
Environment configuration and SDK configuration parametersConfiguration
Threads, worker pools, blocking calls, background loops, streaming resource lifetimeThread lifecycle
  1. Preserve public contracts. Apply conventions to the changed scope; do not refactor unrelated legacy behavior merely to satisfy a rule.
  2. Verify affected success and failure behavior. For Python unit tests, use nexent-python-tests linked from root AGENTS.md. Unit-test mocks do not establish live-integration acceptance.
  3. Report references consulted, affected contracts, and verification results. Resolve material contract conflicts using concrete evidence; routine implementation choices do not require additional permission.

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 Nexent Backend AI skill do?

Use when designing, implementing, debugging, or reviewing Nexent relational schemas, FastAPI endpoints, backend services, database access, SQL migrations, or backend/SDK configuration. Includes table/field naming, types, JSONB boundaries, audit fields, keys, and indexes even before code paths exist. Skip frontend-only work and unrelated SDK algorithms.

Why use Nexent Backend on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ModelEngine-Group/nexent/tree/develop/.agents/skills/nexent-backend. 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 Nexent Backend?

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 Nexent Backend?

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

Is the Nexent Backend AI skill free?

Yes. It is published on GitHub by ModelEngine-Group 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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