FSCR Onboarding logo

FSCR Onboarding

Organization
oracle
FSCR Onboarding

Introduces users to FSCR and guides onboarding, public OAuth client (Mobile Application) setup, fusionEnv.properties configuration, and any login or authentication questions or issues, including Fusion environment trust enrollment, PKCE, and access tokens. Provides guidance and troubleshooting; hands authentication execution to the OAuth skill.

Overview

Publisheroracle
RepositoryFusion-Setup-Configuration-Registry
Skill nameFSCR Onboarding
Stars
112
Forks
26
Bundled files
12
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.

  • 12 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 FSCR Onboarding 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/onboarding
  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/onboarding .claude/skills/oracle-fscr-onboarding
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable FSCR Onboarding 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 FSCR Onboarding 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 FSCR Onboarding 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.

FSCR Onboarding

Purpose and ownership

Guide users through an introduction to FSCR, initial setup, and authentication readiness. Answer login and authentication questions and help diagnose issues at any stage of their FSCR journey. Owner: Central platform team.

Use this skill for “Introduce me to FSCR”, “How do I get started?”, “Help me create the public client / Mobile Application”, “How do I configure fusionEnv.properties?”, “How does environment enrollment work?”, “How do I authenticate?”, and any login, token, or authentication question or issue. Guidance alone does not require a successful login or a new implementation project.

Guidance workflow

  1. Identify the immediate goal and what the user has already completed. Start new users with the introduction below; resume experienced users at the relevant setup step or failing authentication stage. Ask only for missing information.
  2. Introduce FSCR as the Oracle Fusion Setup and Configuration Skills Registry for implementation guidance and reusable technical workflows. Explain the router's orchestration, core services, shared cross-pillar guidance, and pillar-specific skills. Use README for the repository overview. Explain that project/{project_id} preserves implementation state across sessions.
  3. Use IAM client application setup as the guided setup journey, with the relevant screenshot displayed and explained at each step: select the Fusion Identity Domain; create a Mobile Application; optionally restrict access and assign users/groups; configure Authorization code and the callback; add resource scopes; activate; obtain the OAuth Client ID; and populate core/auth/fusionEnv.properties. Use the 26D Word source when source detail is needed. Do not merely send a document link or dump all diagrams without explanation.
  4. Use property guidance to map each value to its source and explain what it must match. Cover the Fusion HTTPS base URL, local environment name, OAuth Client ID, exact registered callback, and selected service scopes. Distinguish Application ID from OAuth Client ID. Use placeholders; never copy a screenshot's environment values into configuration.
  5. Explain authentication using PKCE login flow and the current OAuth skill. Show the flow diagram and distinguish three stages:
    • First-time enrollment collects the Fusion URL, environment name, and OAuth Client ID, discovers the trusted issuer through the declared Fusion redirect flow, and writes the private ~/.fusionaim/oauth-trust.json policy. Explain why trust is separate from caller-selectable properties, how the values must match, and how an existing or additional environment is handled. Use the auth skill's exact welcome prompt when handing off actual enrollment.
    • PKCE login generates a verifier/challenge, opens browser sign-in, validates the callback state, and exchanges the authorization code for an access token without a public-client secret.
    • The private profile cache supports subsequent authorized Fusion REST calls; scopes, Fusion roles, and data access still control access. Explain renewal according to the current implementation, not assumed refresh-token support.
  6. For an issue, follow the diagnosis workflow below. For a request to execute enrollment or login, hand off to the OAuth skill with the selected environment, service, and known prerequisites; do not leave an action request at explanation.
  7. Finish each relevant stage with the next concrete step and any unresolved gap. Keep the journey progressive and skip completed stages. Do not claim setup, authentication, or REST access succeeded without execution evidence.

Login and authentication diagnosis

Use this skill for all login/authentication guidance, including issues encountered after onboarding. Identify the failing stage from a redacted error: IAM application activation or user assignment, property configuration, trust enrollment, browser sign-in, callback, code exchange, token storage/reuse, or Fusion REST authorization. Consult the troubleshooting tables in the configuration and PKCE references and the current OAuth skill before explaining a cause or next action.

Check only the context relevant to the failure: selected environment and service, public/PKCE versus an existing confidential client, exact callback registration, required scope, or trust mismatch. Distinguish a confirmed mismatch from a hypothesis. Explain the specific correction and hand execution to the responsible workflow. A repeated 403 may require role or data-access diagnosis rather than another login. Do not disable PKCE, broaden scopes, replace trust, or repeat a live operation as a generic workaround.

Use redacted errors and synthetic examples. Do not dump the properties file or request passwords, client secrets, authorization codes, verifiers, or token contents. Guide users through browser sign-in or the auth skill's private input mechanisms when execution requires sensitive input.

Routes and execution boundary

User intentNext skill
FSCR overview, onboarding, IAM setup guidance, or any login/authentication question or issueContinue this skill's guided journey and diagnosis
Start or resume an implementationImplementation Router
Log in, enroll trust, obtain or refresh a tokenFusion OAuth Authentication, when selected by the active workflow
Create implementation users or assign their rolesRoute through the Implementation Router to Implementation Users

This advisory skill has no live external-operation step. It does not navigate the Identity Domain, register applications, enroll trust, launch login, refresh tokens, or test REST endpoints. Hand execution to the selected workflow and honor its preflight and approval gates; do not substitute a browser or direct REST call. IAM application creation is a user/admin-performed prerequisite here. The user needs the appropriate Identity Domain application administration permissions to perform it; no such privilege is needed to receive guidance.

Persistence

Ordinary Q&A produces a conversational answer and changes no project state or configuration. If the user requests a durable checklist or troubleshooting report, route that artifact work through the implementation workflow and its project workspace services. Use the selected project, or initialize draft_impl_project_<date> from project/_template when required and offer to rename it. Record the run and token usage in the prescribed project log: project/{project_id}/artifacts/shared/token-usage/current/token-usage-log.md. Persist only redacted findings, artifact references, and next actions.

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 FSCR Onboarding AI skill do?

Introduces users to FSCR and guides onboarding, public OAuth client (Mobile Application) setup, fusionEnv.properties configuration, and any login or authentication questions or issues, including Fusion environment trust enrollment, PKCE, and access tokens. Provides guidance and troubleshooting; hands authentication execution to the OAuth skill.

Why use FSCR Onboarding on TypingMind?

Because you install it once and use it with any model. FSCR Onboarding 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 FSCR Onboarding 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/onboarding. 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 FSCR Onboarding?

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 FSCR Onboarding?

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

Is the FSCR Onboarding 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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