Manage HCM LDAP User Account Options logo

Manage HCM LDAP User Account Options

Organization
oracle
Manage HCM LDAP User Account Options

Prepare HCM LDAP user-account-option creation, updates, deletion and redesign requests using the target FSM template, and route supported option changes through validated Data Loader imports.

Overview

Publisheroracle
RepositoryFusion-Setup-Configuration-Registry
Skill nameManage HCM LDAP User Account Options
Stars
112
Forks
26
Bundled files
4
LicenseUPL-1.0
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.

  • 4 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 HCM LDAP User Account Options 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/common/security-console/manage-hcm-ldap-user-account-options
  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/common/security-console/manage-hcm-ldap-user-account-options .claude/skills/oracle-manage-hcm-ldap-user-account-options
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Manage HCM LDAP User Account Options 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 HCM LDAP User Account Options 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 HCM LDAP User Account Options 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 HCM LDAP User Account Options

Purpose

Provide a controlled, cross-pillar method to export, validate, and approval-gate the import of the Manage HCM LDAP User Account Options FSM setup task. Delegate transport and live import execution to the declared shared and core dependencies. Prepare user-specified account-option changes using the verified template.

Export and move the FSM setup task Manage HCM LDAP User Account Options only through the declared dependency workflows. The catalog identity is task code PER_HCM_LDAP_USER_ACCOUNT_OPTIONS; require a current catalog or live-task lookup to confirm that its export/import flags remain supported before execution.

Scope and boundaries

  • Support only a task-level FSM CSV export and the subsequent import of the exported, verified-template candidate or otherwise supplied archive for this task.
  • Do not create, update, delete, or redesign individual user accounts, job roles, role memberships, LDAP integrations, or security policies. Route that work to the dedicated role-management, policy or user-provisioning skill. Accept create, update, delete and redesign requests for this task's account options, subject to the actual supported option operations.
  • A Job Roles archive is not an archive for this task. Reject it as a task-identity mismatch; do not reinterpret or transform it.
  • Do not call Fusion, OAuth, UCM, REST, FSM, or loader commands directly. shared.setup-export.task-level-export owns export; core.data-loader owns every import preflight, upload, initiation, and monitoring route.
  • Treat a changed archive, source scope, target environment, or validation result as a new request that must pass all gates again.

Required preflight

  1. Resolve the project workspace, requested operation, source and target environments, and the exact HCM LDAP user-account-options scope. Require source and target to be distinct for a migration request; require explicit confirmation for a same-environment restore.
  2. Confirm the exact task name and code with shared.setup-export.task-level-export and verify its current CSVExportImportSupportedFlag is Y. If the task is ambiguous, unavailable, or unsupported, record a catalog-mismatch diagnostic and stop.
  3. Confirm the operator has Functional Setup Manager export access in the source and Data Loader import privileges in the target. Do not request or expose credentials, access tokens, or tenant secrets.
  4. Record the source/target identities, task code, scope, and a redacted execution plan in the project workspace before any side effect.

Export Manage HCM LDAP User Account Options

  1. Route the export to shared.setup-export.task-level-export with task name Manage HCM LDAP User Account Options, task code PER_HCM_LDAP_USER_ACCOUNT_OPTIONS, the source environment, and project ID.
  2. Let that skill perform the task lookup, support-flag validation, export process creation, polling, download, and project export persistence. Do not substitute a template export for a data export.
  3. Preserve the returned ZIP unchanged. Register its path, SHA-256, process ID, task identity, source environment, and export timestamp as the export record.
  4. On an export timeout or failure, preserve the task code, process ID, last status, process-log reference, elapsed wait, and next-check path. Do not start another export process automatically.

Create, update, delete and redesign

Accept these operation requests for this task's own setup objects, including user-specified individual changes. Prepare supported changes using the target's FSM template and execute them through core.data-loader; do not reject a request merely because the user does not already have an input archive.

Read FSM input preparation when preparing a change or helping a user understand the input. Obtain and safely extract the template, explain its files and required columns, map supplied business values, and prepare a separate candidate. Automatically authorize only the necessary template/spec export; retain Data Loader's validation and actual import approval workflow.

For deletion, verify the explicit supported action for the exact object or relationship. An omitted CSV row, blank value or unrelated REMOVE action is not whole-object deletion. If the task has no supported deletion contract, record that specific operation gap; do not impose a blanket prohibition on all individual changes or invent a browser/API execution route.

For update or redesign, establish existing keys, preserve unrelated values and show the intended changes. Intentional changes in the selected target are not same-environment restores. Apply restore confirmation only to an actual restore.

Template-first import preparation

  1. Unless the user explicitly overrides this sequence, export the task first and provide that export as the import template before asking for import content. Explain that the template establishes the supported archive and file structure; it is not approval to import.
  2. When the user provides an input file, compare it with the export template for file names, headers, column order, encoding, required values, and task-specific references. Help correct structural defects in a separate candidate file; preserve the supplied original and do not silently alter business values.
  3. Give the user a concise change summary and identify any unresolved values or references. Use the corrected file only after it conforms to the export structure and has been assembled into a new candidate archive using the supported archive shape. That candidate is a new artifact and must pass the validation and approval gates below.
  4. The user may override the export-first sequence, template choice, or proposed file corrections at any time. Honor that direction, while retaining the required task-identity, validation, and immediate import-approval gates.

Validate the archive for import

  1. Require the supplied archive to be a non-empty ZIP and bind its SHA-256 to task code PER_HCM_LDAP_USER_ACCOUNT_OPTIONS, source environment, and target environment.
  2. Route setup-data validation to shared.validation.setup-data-validator and preserve the resulting validation evidence. Fail closed on archive-shape, task-identity, scope, catalog, environment, or privilege mismatch.
  3. Do not alter, unpack-and-repack, merge, or otherwise transform the archive after validation. Any change invalidates the evidence and approval preview.

Import the validated archive

  1. Route the immutable validated archive to core.data-loader as an FSM, task-routed import. Provide the task context, target environment, archive SHA-256, and validation evidence.
  2. Let core.data-loader complete its required source and API validation and produce its immutable approval preview. This skill must not bypass or replace the Data Loader route with a direct FSM API, UCM upload, REST call, CSV utility, or browser action.
  3. Present the exact target environment, task code, archive name and SHA-256, validation result, and expected import impact. Stop before the first POST.
  4. Proceed only after the user gives a separate, immediate approval for that immutable preview. core.data-loader revalidates the archive and owns the upload, initiation, process monitoring, and diagnostics.
  5. Do not retry an upload, initiation, import, overwrite, or replacement process without a fresh approval. Preserve returned request IDs, process-log references, and redacted diagnostics in the project workspace.

Failure handling

Classify failures as input validation, catalog mismatch, authorization, transport/environment, Fusion API, process timeout, process failed, artifact persistence, or approval blocker. Redact credentials, tokens, customer data, and sensitive security configuration. For any ambiguity or unsafe path, record the blocker and recommended next action, then stop.

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 HCM LDAP User Account Options AI skill do?

Prepare HCM LDAP user-account-option creation, updates, deletion and redesign requests using the target FSM template, and route supported option changes through validated Data Loader imports.

Why use Manage HCM LDAP User Account Options on TypingMind?

Because you install it once and use it with any model. Manage HCM LDAP User Account Options 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 HCM LDAP User Account Options in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oracle/Fusion-Setup-Configuration-Registry/tree/main/pillars/common/security-console/manage-hcm-ldap-user-account-options. 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 HCM LDAP User Account Options?

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 HCM LDAP User Account Options?

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

Is the Manage HCM LDAP User Account Options 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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