Fusion AI Workflow Agent Invoker logo

Fusion AI Workflow Agent Invoker

Organization
oracle
Fusion AI Workflow Agent Invoker

Submits and tracks on-demand Oracle Fusion AI Studio workflow agent requests.

Overview

Publisheroracle
RepositoryFusion-Setup-Configuration-Registry
Skill nameFusion AI Workflow Agent Invoker
Stars
112
Forks
26
Bundled files
1
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.

  • 1 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 Fusion AI Workflow Agent Invoker 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/fusion-ai/workflow-agent-invoker
  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/fusion-ai/workflow-agent-invoker .claude/skills/oracle-fusion-ai-workflow-agent-invoker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fusion AI Workflow Agent Invoker 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 Fusion AI Workflow Agent Invoker 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 Fusion AI Workflow Agent Invoker 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.

Fusion AI Workflow Agent Invoker

Purpose

Submits an on-demand Oracle Fusion AI Studio workflow agent request and optionally polls the resulting job until a final or input-required status is returned.

REST API Contract

This skill uses the Oracle Fusion AI Agent Team REST API:

  • Submit: POST /orchestrator/agent/v2/{workflowCode}/invokeAsync
  • Track: GET /orchestrator/agent/v2/{workflowCode}/status/{jobId}

Oracle A-Team examples call these endpoints through the Fusion AI gateway prefix:

  • Submit: POST /api/fusion-ai/orchestrator/agent/v2/{workflowCode}/invokeAsync
  • Track: GET /api/fusion-ai/orchestrator/agent/v2/{workflowCode}/status/{jobId}

The submit payload always includes message. It can also include Oracle documented fields such as invocationMode, conversational, conversationId, version, parameters, agentCodes, toolCodes, resumeNodeInput, streamOutput, and progressMessage.

Project Scripts

Run from the repository root:

bash
python3 core/fusion-ai/workflow-agent-invoker/scripts/workflow_agent_invoker.py \
  --workflow-code <workflowCode> \
  --message "Search for YOZ Corp" \
  --version <publishedVersion> \
  --workflow-status PUBLISHED \
  --wait-seconds 300 \
  --token-cache auto

Resume status polling for an existing job:

bash
python3 core/fusion-ai/workflow-agent-invoker/scripts/workflow_agent_invoker.py \
  --workflow-code <workflowCode> \
  --job-id <jobId> \
  --wait-seconds 300 \
  --token-cache auto

The script reads the default Fusion environment properties file:

text
core/auth/fusionEnv.properties

It imports OAuth helpers from:

text
core/auth/fusion-oauth-authentication/scripts/fusion_auth.py

Inputs

  • fusion_environment_context
  • workflow_code
  • agent_prompt
  • execution_options

Script-level inputs:

  • --workflow-code: AI Studio workflow code used in the REST path.
  • --message: user prompt to submit as the workflow request message.
  • --job-id: existing workflow job ID to poll instead of submitting a new request.
  • --payload or --payload-file: JSON object merged into the submit payload.
  • --path-prefix: REST path prefix before /orchestrator; defaults to /api/fusion-ai based on Oracle A-Team invokeAsync samples. Use an empty value for the raw OpenAPI path.
  • --scope: optional OAuth scope override for this invocation. Without an override, the invoker uses ai_scope from core/auth/fusionEnv.properties, falling back to scope when ai_scope is unavailable.
  • --parameter: repeated JSON parameter as name=value, name:=json, or name@file=path.
  • --agent-code and --tool-code: repeated values mapped to agentCodes and toolCodes.
  • --version, --workflow-status, --conversation-id, --conversational, --new, optional --state-file, and --client-generated-conversation-id: options for conversational workflow turns. Use a path under project/{project_id}/artifacts/core/fusion-ai/ when conversation state must persist across sessions.
  • --wait-seconds, --poll-interval, and --submit-only: polling controls.
  • --token-cache, --force-login, --auth-code, --redirect-url, and browser flags passed to the shared OAuth flow when login is required.

Outputs

  • execution_result
  • diagnostics
  • audit_summary

Script-level outputs:

  • Structured JSON containing the submit payload, status payload, extracted jobId, status fields, polling diagnostics, and target environment summary.
  • Optional conversation state file when --state-file is supplied.
  • Exit code 0: submitted/tracked successfully or non-terminal status returned when no wait was requested.
  • Exit code 3: wait timeout elapsed before a final or input-required status.
  • Exit code 4: Fusion reported a terminal unsuccessful status.

Implementation Notes

Use the bundled script instead of writing workflow-specific authentication, invokeAsync, or status polling code in consuming skills. Never print access tokens, refresh tokens, client secrets, .fusionaim_token.json contents, or Authorization headers.

Consuming skills must record the workflow code, prompt purpose, target environment, returned jobId, and terminal status in their own audit artifacts when the invocation has implementation side effects.

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 Fusion AI Workflow Agent Invoker AI skill do?

Submits and tracks on-demand Oracle Fusion AI Studio workflow agent requests.

Why use Fusion AI Workflow Agent Invoker on TypingMind?

Because you install it once and use it with any model. Fusion AI Workflow Agent Invoker 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 Fusion AI Workflow Agent Invoker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oracle/Fusion-Setup-Configuration-Registry/tree/main/core/fusion-ai/workflow-agent-invoker. 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 Fusion AI Workflow Agent Invoker?

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 Fusion AI Workflow Agent Invoker?

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

Is the Fusion AI Workflow Agent Invoker 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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