Cxc Dev Data

Community

lidge-jun

cxc-dev-data

Use for analytics and data pipelines. Triggers: ETL, ELT, data quality, SQL optimization, schema drift, backfill, 데이터 파이프라인, 데이터 품질, 백필.

Overview

Publisher	lidge-jun
Repository	`codexclaw`
Skill name	`cxc-dev-data`
Stars	51
Forks	10
Bundled files	9
License	MIT
Links	Skill source Repository Homepage

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.
9 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by lidge-jun on GitHub. Read the source before you install it.

Installation

Install the Cxc Dev Data AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/lidge-jun/codexclaw/tree/main/plugins/codexclaw/skills/dev-data
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.

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/lidge-jun/codexclaw.git /tmp/codexclaw
mkdir -p .claude/skills
cp -r /tmp/codexclaw/plugins/codexclaw/skills/dev-data .claude/skills/cxc-dev-data

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cxc Dev Data 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 Cxc Dev Data 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 Cxc Dev Data 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.

Dev-Data — Data Engineering & Analysis Guide

Activates by change surface for data pipelines, analytics, SQL-heavy work, schema evolution, backfills, and reporting.

Production-grade data engineering patterns for building reliable data systems.

Before data work, read dev for classification, fast paths, rule authority, family invariants, verification, and safety; current/public evidence follows its Conditional Routes.

Use browser fetch/open/text/get-dom/snapshot only after candidate URLs exist and the claim needs browser-verifiable source evidence.

When to Activate

Building data pipelines or ETL/ELT processes
Processing CSV, JSON, Parquet, or Excel files
Writing analytical SQL, warehouse/lakehouse queries, or transformation models
Setting up data quality checks or validation
Performing data analysis, aggregation, or reporting
Choosing between batch and streaming architectures

Do not activate for plain app CRUD SQL, OLTP query tuning, or transactional schema design. Route those to dev-backend/references/stacks/database.md. This skill owns analytics, ETL/ELT, pipelines, data quality, and reporting.

Modular References

Condition	Reference
Every data task; ingestion, incremental loading, ETL/ELT, dbt, retries, or orchestration	Principles and pipelines
Quality checks, data contracts, schema changes/backfills, review, or delivery	Quality and evolution (DATA-MIGRATION-01, DATA-REVIEW-01)
Analysis/reporting, batch/streaming, storage, or engine selection	Analysis and engines, streaming, tools
ML training, experiments, feature stores, or data versioning	ML pipelines
PII, retention, masking, or governance	Governance, implementation patterns; `cxc-dev-security` for policy
Analytical SQL/query execution safety, pipeline APIs, observability, or consumers	Queries and companions

Bundled files

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

agents/openai.yaml1 KB
references/01-ingestion-pipelines.md5 KB
references/02-quality-evolution.md4 KB
references/03-analysis-engines.md5 KB
references/04-governance-queries.md4 KB
references/governance.md3 KB
references/ml-pipeline.md8 KB
references/streaming.md3 KB
references/tools.md3 KB

Frequently asked questions

What does the Cxc Dev Data AI skill do?

Use for analytics and data pipelines. Triggers: ETL, ELT, data quality, SQL optimization, schema drift, backfill, 데이터 파이프라인, 데이터 품질, 백필.

Why use Cxc Dev Data on TypingMind?

Because you install it once and use it with any model. Cxc Dev Data 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 Cxc Dev Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lidge-jun/codexclaw/tree/main/plugins/codexclaw/skills/dev-data. 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 Cxc Dev Data?

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 Cxc Dev Data?

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

Is the Cxc Dev Data AI skill free?

Yes. It is published on GitHub by lidge-jun 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Dev-Data — Data Engineering & Analysis Guide

When to Activate

Modular References

Bundled files

Frequently asked questions

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