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Manage Customer Hub Data Cleansing Lookups Setup Task Guidance logo

Manage Customer Hub Data Cleansing Lookups Setup Task Guidance

Organization
oracle
Manage Customer Hub Data Cleansing Lookups Setup Task Guidance

Provides task-specific setup guidance for Manage Customer Hub Data Cleansing Lookups under the Customer Hub functional area.

Overview

Publisheroracle
RepositoryFusion-Setup-Configuration-Registry
Skill nameManage Customer Hub Data Cleansing Lookups Setup Task Guidance
Stars
112
Forks
26
Bundled files
7
LicenseUPL-1.0
Links
Skill sourceRepository
  • 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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the Manage Customer Hub Data Cleansing Lookups Setup Task Guidance 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/oracle/Fusion-Setup-Configuration-Registry/tree/main/pillars/cx/customer-data-management/customer-hub/manage-customer-hub-data-cleansing-lookups
  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/oracle/Fusion-Setup-Configuration-Registry.git /tmp/Fusion-Setup-Configuration-Registry
mkdir -p .claude/skills
cp -r /tmp/Fusion-Setup-Configuration-Registry/pillars/cx/customer-data-management/customer-hub/manage-customer-hub-data-cleansing-lookups .claude/skills/oracle-manage-customer-hub-data-cleansing-lookups-setup-task-guidance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Manage Customer Hub Data Cleansing Lookups Setup Task Guidance 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 Manage Customer Hub Data Cleansing Lookups Setup Task Guidance 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 Manage Customer Hub Data Cleansing Lookups Setup Task Guidance 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.

Manage Customer Hub Data Cleansing Lookups Setup Task Guidance

Purpose

Provides task-specific setup planning, routing, export, import, and validation guidance for Manage Customer Hub Data Cleansing Lookups under Customer Hub.

Setup Task Skill Contract

  • task_code: ZCH_MANAGE_CUSTOMER_HUB_DATA_CLEANSING_LOOKUPS
  • task_name: Manage Customer Hub Data Cleansing Lookups
  • parent_skill_id: cx.customer-data-management.customer-hub
  • pillar: CX
  • offering: Customer Data Management
  • functional_area: Customer Hub
  • functional_area_code: ZCH_CUST_HUB_OPT
  • available_flag: Y
  • export_import_supported_flag: Y
  • csv_export_import_supported_flag: Y
  • dataloader_import_mode: FSM
  • businessObject: ``
  • source_catalog: knowledge/setup-task-catalog/effective/setupTasksAll.json

Usage

Use this skill when planning, sequencing, exporting, importing, or validating setup data for Manage Customer Hub Data Cleansing Lookups under Customer Hub.

Apps Common REST Operations

Use core.fusion-api.apps-common for exact Standard Lookup reads of all 10 members in ora-resource/ora_reference_lookups.md. All are System-level in the validated metadata. Permit only a current-describe-supported Meaning PATCH of an existing code after an exact current GET, code describe validation, immutable preview, explicit approval, one mutation request, and separate GET verification. Do not create or delete types or codes, change identity, state, dates, description, display sequence, tag, module, security, or configuration level, silently upsert, or retry a mutation automatically. Use FSM only for an explicit task export or import.

Read ora-resource/ora_rule_registry.json and its source files before planning a REST operation.

Setup Task Metadata

  • Task name: Manage Customer Hub Data Cleansing Lookups
  • Task code: ZCH_MANAGE_CUSTOMER_HUB_DATA_CLEANSING_LOOKUPS
  • Available: Y
  • Export/import supported: Y
  • CSV export/import supported: Y
  • CSV export/import routing: supported
  • Data Loader import mode: FSM
  • Business Object: ``

CSV Export, Import, and Validation Workflow

CSVExportImportSupportedFlag is Y for this task, so route task setup data work through the relevant skills:

  1. Export setup task data with shared.setup-export.task-level-export.
  2. Validate setup task data with shared.validation.setup-data-validator.
  3. Validate reference data with shared.validation.reference-data-validator.
  4. Import setup task data with core.data-loader.

Use this task metadata when invoking those skills:

  • Offering: Customer Data Management
  • Functional area / Setup Object: Customer Hub
  • Setup task name: Manage Customer Hub Data Cleansing Lookups
  • Setup task code: ZCH_MANAGE_CUSTOMER_HUB_DATA_CLEANSING_LOOKUPS

Inputs

  • implementation_objective
  • project_context
  • setup_task_scope
  • setup_data_artifacts

Outputs

  • setup_task_plan
  • setup_data_routing
  • validation_checkpoints
  • skill_run_record
  • token_usage_record

Implementation Notes

Use the parent functional-area skill cx.customer-data-management.customer-hub for functional-area sequencing and scope decisions. Track token usage for any generated project artifact or skill-run record using the manifest policy.

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 Manage Customer Hub Data Cleansing Lookups Setup Task Guidance AI skill do?

Provides task-specific setup guidance for Manage Customer Hub Data Cleansing Lookups under the Customer Hub functional area.

Why use Manage Customer Hub Data Cleansing Lookups Setup Task Guidance on TypingMind?

Because you install it once and use it with any model. Manage Customer Hub Data Cleansing Lookups Setup Task Guidance 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 Manage Customer Hub Data Cleansing Lookups Setup Task Guidance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oracle/Fusion-Setup-Configuration-Registry/tree/main/pillars/cx/customer-data-management/customer-hub/manage-customer-hub-data-cleansing-lookups. 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 Manage Customer Hub Data Cleansing Lookups Setup Task Guidance?

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 Manage Customer Hub Data Cleansing Lookups Setup Task Guidance?

As many as you like. As long as a model supports skills, you can use Manage Customer Hub Data Cleansing Lookups Setup Task Guidance with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Manage Customer Hub Data Cleansing Lookups Setup Task Guidance AI skill free?

Yes. It is published on GitHub by oracle under the UPL-1.0 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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