Implementation Users logo

Implementation Users

Organization
oracle
Implementation Users

Creates or guides creation of greenfield Oracle Fusion Cloud 26B implementation users with the minimum Functional Setup Manager role grant.

Overview

Publisheroracle
RepositoryFusion-Setup-Configuration-Registry
Skill nameImplementation Users
Stars
112
Forks
26
Bundled files
3
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.

  • 3 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 Implementation Users 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/core/getting-started/implementation-users
  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/core/getting-started/implementation-users .claude/skills/oracle-implementation-users
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Implementation Users 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 Implementation Users 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 Implementation Users 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.

Initial Fusion Implementation Users

Purpose

Use this skill to create an initial implementation user in a greenfield Oracle-managed Fusion 26B SaaS environment. The default role plan is grounded in Oracle's Functional Setup Manager Roles and Allowed Activities mapping and assigns only the role necessary for the listed activities.

Required Inputs

For every run, prompt for:

  • username
  • user_email
  • project_id, unless a project is already selected

Required Reference

Before planning or executing, read:

  • references/oracle-26b-hcm-implementation-users.md
  • Oracle 26B Mapping of Setup Activities and Required Roles, section Roles and the Allowed Activities, for the minimum role required to perform the listed activities.

Workflow

  1. Generate a plan with scripts/prepare_implementation_user_plan.py.
  2. Run read-only preflight against the target pod before any write:
    • verify the target user does not already exist, or get update approval
    • resolve the required job role
    • resolve every planned implementation-user job role
  3. Ask for explicit write approval with the resolved plan.
  4. Execute the setup sequence:
    • run Retrieve Latest LDAP Changes
    • run Import Users and Roles into Application Security
    • create the implementation user with associated person type None, user category DEFAULT, active status, email, and username
    • assign the planned implementation-user job roles
  5. Validate Security Console role membership and implementation user access.

REST Execution Support

Use scripts/execute_implementation_user_plan.py to execute supported REST steps through core.fusion-api.rest-api-client.

The executor creates users through:

  • /hcmRestApi/scim/Users

The executor assigns roles through:

  • /hcmRestApi/scim/Roles/

The executor is conservative:

  • dry-run is the default
  • --live-preflight resolves the target user and every planned role without writing; execution repeats that role-resolution gate before creating a user
  • --execute requires --confirm-create-user
  • if the user already exists, execution stops instead of overwriting it
  • final role assignments are resolved through the SCIM Roles endpoint and added to the role membership after the user is created
  • roles with a planned ORA_ identifier are resolved by SCIM role name using that planned role code, not by display name
  • every planned job role must pass the ORA_ planned-identifier check using the SCIM role name
  • if the user already exists, use --assign-roles-to-existing to assign the planned roles to that user without recreating it
  • use --include-roles-in-user-body only for pods that explicitly accept SCIM roles values in the /Users create body
  • Security Console-only or environment-specific setup remains listed as manual follow-up in the audit

Role Policy

Oracle 26B Functional Setup Manager Roles and the Allowed Activities grounding establishes the minimum role necessary to perform the listed activities:

  • Application Implementation Consultant (Job)

Role-selection logic:

  • Use the Oracle Roles and the Allowed Activities section as the controlling source for the minimum Functional Setup Manager role grant.
  • Select Application Implementation Consultant because that role covers the full listed activity set for an implementation user: reviewing and configuring offering features, performing all setup tasks, managing setup data through offerings, functional areas, and implementation projects, export/import, comparison, setup data reports, export/import process submission and monitoring, implementation project management, and managing integration of additional applications.
  • Do not add Application Implementation Manager; Oracle lists it for a smaller activity set and it does not cover all setup tasks and setup data management.
  • Do not add Functional Setups User; Oracle positions it for specific setup tasks and requires a separate role with task-specific privileges.
  • Do not add Export Import Functional Setups User; Oracle positions it for export/import, comparison, and report activities and requires the Functional Setups User role plus task-specific setup data privileges.
  • Add the configured IT Security Manager and Application Diagnostic Administrator job roles because this implementation-user policy explicitly requires them. Do not add further product, HCM, payroll, compensation, data, security-profile, or role-mapping grants unless a later, separate project-specific scope analysis explicitly identifies them as necessary.

Do not treat listed privileges, such as Manage Setup Migration Settings or Manage Third Party Applications, as roles. Capture them as possible task-specific privilege requirements if the project later narrows the implementation user's scope.

At execution time, enforce planned ORA_ role identifiers from the plan. Any role with a planned identifier such as roleCode, code, name, or value starting with ORA_ must be resolved from /hcmRestApi/scim/Roles with filter=name eq "{ORA_ROLE_CODE}". Do not resolve those roles by display name because Fusion can expose different non-ORA roles with the same display name. Roles without a planned ORA_ identifier may be resolved by display name.

Role grants assigned when creating the implementation user:

  • Application Implementation Consultant (ORA_ASM_APPLICATION_IMPLEMENTATION_CONSULTANT_JOB)
  • IT Security Manager (ORA_FND_IT_SECURITY_MANAGER_JOB)
  • Application Diagnostic Administrator (ORA_FND_DIAG_ADMINISTRATOR_JOB)

Application Implementation Consultant remains the minimum Functional Setup Manager role. The IT Security Manager and Application Diagnostic Administrator grants are explicit implementation-user role-policy additions and must be preflighted and approved with the same user-create payload.

Stop Conditions

Stop before write when:

  • the user exists and update behavior is not approved
  • any required role cannot be resolved in the target pod
  • the user has not approved the resolved write plan

Commands

Preview plan:

bash
python3 core/getting-started/implementation-users/scripts/prepare_implementation_user_plan.py \
  --username "{username}" \
  --email "{email}" \
  --project-id "{project_id}" \
  --output project/{project_id}/artifacts/core/getting-started/implementation-users/current/{username}_implementation_user_plan.json

Execution plan:

bash
python3 core/getting-started/implementation-users/scripts/prepare_implementation_user_plan.py \
  --username "{username}" \
  --email "{email}" \
  --project-id "{project_id}" \
  --execution-mode execute \
  --output project/{project_id}/artifacts/core/getting-started/implementation-users/current/{username}_implementation_user_plan.json

Dry-run the REST executor against a generated plan:

bash
python3 core/getting-started/implementation-users/scripts/execute_implementation_user_plan.py \
  --plan project/{project_id}/artifacts/core/getting-started/implementation-users/current/{username}_implementation_user_plan.json

Execute supported REST calls after explicit approval:

bash
python3 core/getting-started/implementation-users/scripts/execute_implementation_user_plan.py \
  --plan project/{project_id}/artifacts/core/getting-started/implementation-users/current/{username}_implementation_user_plan.json \
  --execute \
  --confirm-create-user

Only the documented relative /hcmRestApi/scim/Users and /hcmRestApi/scim/Roles collections are allowed; absolute endpoint overrides are rejected even on the standard host. The wrapper selects standard-Fusion context and --scim-only, validates destinations before login and sending, and rejects write redirects. Lookup failures stop execution; --allow-create-after-preflight-error is rejected. Passwords stay in Fusion reset/enrollment and must never enter a plan, body or log. The managed token cache stays outside the checkout. SCIM field mappings remain configurable through:

  • --user-query-field
  • --user-key-field
  • --role-query-field
  • --role-key-field

Validation

Report:

  • setup task codes used
  • user creation status
  • assigned Application Implementation Consultant, IT Security Manager, and Application Diagnostic Administrator roles
  • active user status

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 Implementation Users AI skill do?

Creates or guides creation of greenfield Oracle Fusion Cloud 26B implementation users with the minimum Functional Setup Manager role grant.

Why use Implementation Users on TypingMind?

Because you install it once and use it with any model. Implementation Users 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 Implementation Users in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oracle/Fusion-Setup-Configuration-Registry/tree/main/core/getting-started/implementation-users. 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 Implementation Users?

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 Implementation Users?

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

Is the Implementation Users 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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