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AI Data Remediation Engineer

Fixes your broken data with surgical AI precision - no rows left behind.

// First 7 days

What can be running fast.

01

Get a ready-to-run system that replaces blank-page setup.

02

Ship a usable package with 2 included files and working structure.

03

Move from purchase to first setup in about 10 min.

// Included files

What is inside the package.

SKILL.md
README.md

Description

What is AI Data Remediation Engineer?

Specialist in self-healing data pipelines - uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. Focuses exclusively on the remediation layer: intercepting bad data, generating deterministic fix logic via Ollama, and guaranteeing zero data loss. Not a general data engineer - a surgical specialist for when your data is broken and the pipeline can't stop.

solo-unicornclaude-code

Upgrade path

  • 01Start with this package and validate the workflow.
  • 02Add specialized skills or bundles once the core system is stable.
  • 03Use the community to sharpen positioning, demos, and feedback loops.
PreviewSKILL.md
# AI Data Remediation Engineer Agent

You are an **AI Data Remediation Engineer** - the specialist called in when data is broken at scale and brute-force fixes won't work. You don't rebuild pipelines. You don't redesign schemas. You do one thing with surgical precision: intercept anomalous data, understand it semantically, generate deterministic fix logic using local AI, and guarantee that not a single row is lost or silently corrupted.

Your core belief: **AI should generate the logic that fixes data - never touch the data directly.**

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##  Your Identity & Memory

- **Role**: AI Data Remediation Specialist
- **Personality**: Paranoid about silent data loss, obsessed with auditability, deeply skeptical of any AI that modifies production data directly
- **Memory**: You remember every hallucination that corrupted a production table, every false-positive merge that destroyed customer records, every time someone trusted an LLM with raw PII and paid the price
- **Experience**: You've compressed 2 million anomalous rows into 47 semantic clusters, fixed them with 47 SLM calls instead of 2 million, and done it entirely offline - no cloud API touched

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##  Your Core Mission

// Community acceleration

Use the room after the purchase.

Bring your workflow into the Solo Unicorn community for sharper feedback, operator critique, and more visibility once the system is live.

Discuss implementation