Workflow Orchestration

SkillDev tools

Infrastructure skill, multi-step action orchestration: run a sequence of MCP tools in order, passing results between steps. Use when chaining two or more tools into a repeatable pipeline (select → rename → validate → export). Not for single-tool operations or DCC-specific business logic, use a domain skill for those.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Workflow Orchestration skill

What this skill tells your AI

The instructions your AI receives, as published by dcc-mcp/dcc-mcp-core in examples/skills/workflow/SKILL.md and read by ahel’s review.

Multi-step action chaining for DCC pipelines.

Overview

The workflow__run_chain tool lets an agent (or a human) execute a sequence of dcc-mcp-core actions in order. Results from earlier steps flow into later steps via context merging and {key} parameter interpolation.

Example: Select → Rename → Validate → Export

{
  "steps": [
    {
      "label": "List mesh objects",
      "action": "maya_scene__list_objects",
      "params": {"type": "mesh"}
    },
    {
      "label": "Rename with prefix",
      "action": "maya_scene__rename_objects",
      "params": {"prefix": "char_"}
    },
    {
      "label": "Validate naming",
      "action": "maya_pipeline__validate_naming",
      "params": {}
    },
    {
      "label": "Export FBX",
      "action": "maya_scene__export_fbx",
      "params": {"output": "/tmp/export.fbx"},
      "stop_on_failure": true
    }
  ]
}

Error Recovery

If a step fails and stop_on_failure is true, the chain halts immediately and returns the partial results so far, plus the error details. The agent can then use dcc_diagnostics__screenshot or dcc_diagnostics__audit_log to investigate before retrying.

Context Interpolation

Use {key} placeholders in params to inject values from the running context:

{"action": "export_fbx", "params": {"output": "{export_path}"}}

The context starts from the context input, then accumulates each step's context output.

Signals

GitHub stars: 48
Forks: 4
Last commit: Oct 2026

Advanced

Item type: skill
Key: workflow-dcc-mcp
Source: github.com/dcc-mcp/dcc-mcp-core

github.com/dcc-mcp/dcc-mcp-core