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agent-workflow-builder

Build or debug multi-agent workflows in the MultimateAi desktop app.

Skill by NarihitoM

IndexedMIT★ 9
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/narihitom-agent-workflow-builder

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About

Build or debug multi-agent workflows in the MultimateAi desktop app. Use when: creating agent nodes, wiring up sequential/simultaneous execution, configuring tool approval, or working with the local agent system.

Use cases: productivity, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/agent-workflow-builder

What's inside

Skill name
agent-workflow-builder
Description
Build or debug multi-agent workflows in the MultimateAi desktop app. Use when: creating agent nodes, wiring up sequential/simultaneous execution, configuring tool approval, or working with the local agent system.
License
MIT
Instructions
161 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Agent Workflow Builder

## When to Use

- Building a multi-agent workflow in the UI (`/app/localagent`)
- Understanding the Electron main process agent execution engine
- Configuring tool approval modes (auto-approve, ask every time, ask once)
- Debugging agent node execution failures

## Architecture

```
Layer 1: React UI (src/features/agent/)
  → Node graph with provider/model/tools per node
  → Sequential & simultaneous execution modes

Layer 2: IPC Bridge (electron/preload.ts → electron/Ipc/agentworkflowIpc.ts)
  → Sends workflow config to main process
  → Streams events back: node-start, node-stream, node-thinking, etc.

Layer 3: Agent Engine (electron/Agent/)
  → node-deepagent.ts — wraps deepagents package
  → provider.ts — LLM provider factory (10 providers)
  → workflow.ts — orchestrates multi-node execution
```

## Agent UI Structure

The agent feature lives in `src/features/agent/` and has its own store, components, and types:

```
features/agent/
├── api/api.ts              # Workflow execution via IPC
├── components/
│   ├── AgentBuilder.tsx     # Main workflow builder
│   ├── NodeEditor.tsx       # Configure individual nodes
│   └── WorkflowRunner.tsx   # Run & monitor execution
├── hooks/
├── store/store.ts          # Agent workflow state
├── types/type.ts           # Node, Edge, Workflow types
└── index.ts
```

## Node Configuration

Each agent node has:

```typescript
interface AgentNodeConfig {
  name: string;
  actor: string; // System prompt persona
  provider: string; // LLM provider (openai, anthropic, etc.)
  model: string; // Model name
  systemPrompt: string; // Custom system prompt override
  tools: string[]; // Tool group names to enable
  intent: string; // What the agent should accomplish
  autoApprove: "auto" | "ask_every_time" | "ask_once_per_session";
}
```

## Execution Modes

### 1. Specific Node (Single)

Execute one node in isolation. All other nodes are ignored.

### 2. Linear Sequence (Range)

Nodes execute in order from first to last. Each node's output feeds into the next.

```typescript
// workflow.ts handles this as sequential execution
for (const node of nodesInRange) {
  const agent = createDeepAgent({ ...node.config });
  const result = await agent.invoke({ messages });
  messages = result.messages; // Pass to next node
}
```

### 3. Simultaneous

Independent nodes execute in parallel. Results are merged.

```typescript
// workflow.ts handles this with Promise.all
const results = await Promise.all(
  independentNodes.map((node) => agent.invoke({ messages: node.input })),
);
```

## Tool Approval System

Defined in `electron/Ipc/agentworkflowIpc.ts`:

| Mode                   | Behavior                                                                      |
| ---------------------- | ----------------------------------------------------------------------------- |
| `auto`                 | Tool calls execute without user intervention                                  |
| `ask_every_time`       | Every tool call pauses and sends `tool-approval-response` request to renderer |
| `ask_once_per_session` | First tool call asks; subsequent calls auto-approved within same session      |

The approval flow:

1. Agent hits a write tool → workflow pauses via `interruptOn`
2. Renderer shows `ToolApprovalDialog`
3. User approves/rejects → `tool-approval-response` sent via IPC
4. Workflow resumes with `new Command({ resume: ... })`

## Provider Factory

Defined in `electron/Agent/provider.ts`. Supports 10 providers:

| Provider         | Package                   | Model Prefix                                   |
| ---------------- | ------------------------- | ---------------------------------------------- |
| OpenAI           | `@langchain/openai`       | `gpt-4o`, `gpt-4o-mini`, `o1`, `o3`, `o4-mini` |
| Anthropic        | `@langchain/anthropic`    | `claude-3.5-sonnet`, `claude-3-opus`           |
| Google Gemini    | `@langchain/google-genai` | `gemini-*`                                     |
| Groq             | `@langchain/groq`         | `llama-*`, `mixtral-*`                         |
| OpenRouter       | `@langchain/openrouter`   | Any                                            |
| Mistral          | `@langchain/mistralai`    | `mistral-*`, `codestral-*`                     |

From NarihitoM/MultimateAi, MIT.

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Last commit (this folder)
Jul 23, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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agent-workflow-builder skill. Agent Mart. https://agentmart.dev/skills/narihitom-agent-workflow-builder (last updated 2026-10-24)