Agent skill · software engineering · sickn33
open-dynamic-workflows
Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.
Why this skill is useful
Adds a dynamic multi-agent orchestration engine with executable scripts for parallel AI coding tasks that aren't available in public documentation.
What it needs
Requires npm installed locally. Requires anthropic, openai account access. About 3k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Open Dynamic Workflows 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. Example 2: Use the Codex/Antigravity skill bridge Best Practices ✅ Scope each subtask so agents can run without shared state. ✅ Keep the adversarial verification pass enabled before merging agent output. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/open-dynamic-workflows--bc500f