Agent skill · Workflow & Productivity

open-dynamic-workflows

Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.

Nick44,414★ · +328/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill open-dynamic-workflows --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Declared author: Suraj1235
Path: skills/open-dynamic-workflows/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 pa

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. How It Works
  4. Step 1: Plan
  5. Step 2: Orchestrate
  6. Step 3: Adversarially Verify
  7. Examples
  8. Example 1: Run a parallel workflow
  9. Example 2: Use the Codex/Antigravity skill bridge
  10. Best Practices
  11. Limitations
  12. Security & Safety Notes
  13. Common Pitfalls
  14. Related Skills
Commands it runs
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
npm run odw -- run --prompt "refactor the auth module and add tests"
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 -- run --script examples/workflows/studio-prime.workflow.js --cwd .
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About this skill
What does the open-dynamic-workflows skill do?

Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill open-dynamic-workflows --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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