Data Enrichment & AI Assistants

LLM-assisted workflows with PII-safe prompts, validation pipelines, and tenant-scoped data access.

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AuthorNeexoCore
Updated
aidataprivacy

Stack bundle — Data Enrichment & AI Assistants

Full project setup — advanced.

Plugins (2)

  • neexo-guardrails17 instructions · 4 prompts
  • neexo-planning9 skills · 1 agents

Plugins (2)

  • Neexo Guardrails Plugin
  • Neexo Planning Plugin

Skills (2)

  • Neexo Feature Planning Skill— SKILL.md
  • Fetch Neexo Hub Context— SKILL.md

Instructions (4)

  • Customer Data Guardrails
  • Zod v4 Validation
  • Cost-Aware AI Instructions
  • Agent Scope Limits
Full Neexo AI Hub project setup for "Data Enrichment & AI Assistants".

Manifest: https://awesome.neexo.dk/api/install-manifest?stack=data-enrichment

Steps:
1. Fetch the manifest JSON and the linked playbook bundle.
2. Install all listed plugins in my IDE (Copilot marketplace or Cursor rules).
3. Install listed skills to the project repository.
4. Apply baseline guardrails from https://awesome.neexo.dk/api/llms-minimal.txt
5. Confirm what you installed before proceeding.

Recommended plugins

Neexo Guardrails Plugin

Cost-aware AI coding guardrails for Neexo repositories, including scoped context rules, security checks, database safety, testing guidance, and reusable prompts.

Plugins

Neexo Planning Plugin

Planning, session diary, multi-agent handoff, and Neexo Hub context skills for medium and high-risk work.

Plugins

Skills

Neexo Feature Planning Skill

Plans medium and high-risk feature changes before implementation, including scope, touched files, validation, and rollout risks.

Skills

Fetch Neexo Hub Context

Load stack-specific conventions from awesome.neexo.dk without dumping the full catalog.

Skills

Instructions

Customer Data Guardrails

Safe handling of personal and customer data in AI prompts, logs, validation pipelines, and application code.

Instructions

Zod v4 Validation

Guidance for using Zod v4 correctly, including the required import path, schema patterns, and type inference in TypeScript projects.

Instructions

Cost-Aware AI Instructions

Always-on guidance for keeping AI context small, avoiding expensive agent sessions, and classifying tasks before broad edits.

Instructions

Agent Scope Limits

Always-on limits on file scope, change size, and when agents must stop for approval before editing.

Instructions

Overview

Features that enrich or assist using external data and language models — always with privacy and validation first.

Raw content

Copy into your project — e.g. .instructions.md, .agent.md, or SKILL.md

## Overview

Features that enrich or assist using external data and language models — always with privacy and validation first.

Next steps

Copy domain install prompt

Use the install preview above — one prompt for your agent.

Jump to install

Or give agent the hub link

Paste llms.txt — the agent picks what it needs.

Copy hub link

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Safe handling of personal and customer data in AI prompts, logs, validation pipelines, and application code.

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