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Imported from sickn33/agentic-awesome-skills (skills/open-dynamic-workflows/SKILL.md). Install upstream with npx skills add sickn33/agentic-awesome-skills --skill open-dynamic-workflows. Copyright stays with the author (MIT).

Open Dynamic Workflows

Name: open-dynamic-workflows
Author: sickn33

Overview

Open Dynamic Workflows (ODW) is an open-source dynamic multi-agent workflow engine for AI coding agents such as OpenCode, Codex, Antigravity, and VS Code. It lets you plan a task, orchestrate multiple agents working in parallel, and adversarially verify their output before it lands. ODW ships a Codex/Antigravity skill folder (SKILL.md plus a daemon bridge) and an OpenCode plugin, and it is bring-your-own-model (Anthropic, OpenAI-compatible, or Ollama). This skill is adapted from the community project at Suraj1235/open-dynamic-workflows.

When to Use This Skill

Use when you need to decompose a coding task into independent subtasks and run multiple agents in parallel.
Use when working across more than one AI coding tool (OpenCode, Codex, Antigravity, VS Code) and want a single orchestration layer.
Use when the user asks for adversarial review or verification of agent-generated changes before merging.

How It Works

Step 1: Plan

ODW takes a high-level goal and produces a dynamic workflow graph of subtasks, identifying which can run in parallel and which have dependencies.

Step 2: Orchestrate

The engine dispatches subtasks to parallel agents through the OpenCode plugin or the Codex/Antigravity daemon bridge, using your configured model provider (Anthropic, OpenAI-compatible, or Ollama).

Step 3: Adversarially Verify

Completed work is routed through an adversarial verification pass that challenges the output before results are synthesized and returned.

Examples

Example 1: Run a parallel workflow

ODW is installed from source (clone the repo, then npm install). The CLI is odw-daemon — run it as npm run odw -- <args> from inside the repo, or as npx odw-daemon <args> / a global odw-daemon if you link the bin.

# Configure your model provider (bring-your-own-model)
export ANTHROPIC_API_KEY=...        # or an OpenAI-compatible / Ollama endpoint

# One-time setup: generate ~/.odw/config.json
npm run setup

# Start the local workflow daemon (once)
npm run odw -- start

# Plan, orchestrate, and verify a task across parallel agents
npm run odw -- run --prompt "refactor the auth module and add tests"

Example 2: Use the Codex/Antigravity skill bridge

# ODW ships a SKILL.md + daemon bridge consumed by Codex / Antigravity.
# Start the daemon, then run a saved orchestration script through it:
npm run odw -- start
npm run odw -- run --script examples/workflows/studio-prime.workflow.js --cwd .

Best Practices

✅ Scope each subtask so agents can run without shared state.
✅ Keep the adversarial verification pass enabled before merging agent output.
❌ Don't run interdependent subtasks in parallel without declaring their dependencies.
❌ Don't commit provider API keys; use environment variables or a secrets manager.

Limitations

This skill does not replace environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, or safety boundaries are missing.

Security & Safety Notes

ODW executes agent-generated code and shell commands; run it only in an authorized, local, or sandboxed environment.
Model provider credentials (Anthropic / OpenAI-compatible / Ollama) must be supplied via environment variables, never committed to source.
Review adversarial-verification output before applying changes to a production branch.

Common Pitfalls

Problem: Parallel agents collide on the same files. Solution: Give each subtask exclusive file/module ownership and run conflicting tasks sequentially.

Related Skills

@multi-agent-orchestration - When coordinating multiple agents on one goal.
@code-review - How adversarial verification complements human review.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/sickn33-agentic-awesome-skills-open-dynamic-workflows/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

sickn33-agentic-awesome-skills-open-dynamic-workflows.ocm.jsonjson

{
  "ocm": "1",
  "id": "sickn33-agentic-awesome-skills-open-dynamic-workflows",
  "kind": "skill",
  "name": "open-dynamic-workflows",
  "description": "Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.",
  "publisher": "sickn33",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "multi-agent",
      "orchestration",
      "workflow",
      "adversarial-verification",
      "coding-agents",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/sickn33/agentic-awesome-skills",
      "path": "skills/open-dynamic-workflows/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/sickn33/agentic-awesome-skills/blob/HEAD/skills/open-dynamic-workflows/SKILL.md",
      "key": "sickn33/agentic-awesome-skills/skills/open-dynamic-workflows/SKILL.md"
    },
    "license": "MIT"
  },
  "instructions": "# Open Dynamic Workflows\n\n## Overview\n\nOpen Dynamic Workflows (ODW) is an open-source dynamic multi-agent workflow engine for AI coding agents such as OpenCode, Codex, Antigravity, and VS Code. It lets you plan a task, orchestrate multiple agents working in parallel, and adversarially verify their output before it lands. ODW ships a Codex/Antigravity skill folder (`SKILL.md` plus a daemon bridge) and an OpenCode plugin, and it is bring-your-own-model (Anthropic, OpenAI-compatible, or Ollama). This skill is adapted from the community project at `Suraj1235/open-dynamic-workflows`.\n\n## When to Us",
  "cost": {
    "context_tokens": 953
  }
}

Fetch it by URL: GET /api/v1/registry/sickn33-agentic-awesome-skills-open-dynamic-workflows/manifest?version=1.0.0

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