workflowstacks
claude-skill

Streamline Dev with OpenSwarm

Orchestrate AI dev teams with OpenSwarm. Ideal for founders needing autonomous dev team management.
834 stars146 forksTypeScriptGuide quality 8/10Updated 8/10/2026100% free · open source
What it does

OpenSwarm orchestrates AI development teams autonomously, allowing founders to manage their teams more efficiently

When to use it
  • •You have multiple AI development projects running concurrently and need a centralized management system
  • •Your development team requires autonomous task allocation and workflow management
  • •You want to integrate Discord control and Linear integration with cognitive memory for your AI dev team
Ready-to-paste prompt
claude init --discord-token YOUR_DISCORD_TOKEN --linear-token YOUR_LINEAR_TOKEN
Heads up: You need to have a Claude Code CLI installation and a valid Discord and Linear token to use OpenSwarm, which requires setting up a Claude account and obtaining the necessary API tokens
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/openswarm && curl -fsSL https://workflowstacks.com/api/skills/openswarm/claude-skill -o ~/.claude/skills/openswarm/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Streamline Dev with OpenSwarm works
Codeflow
Free to inspect

Streamline Dev with OpenSwarm is a very large TypeScript project (~233k lines across 871 code files, plus 27 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~233k lines · 871 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
Needs API keys (.env)
TypeScript 95%JavaScript 3%CSS 1%Rust 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    action.yml
    Where the program starts running
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    .env.example
    The API keys and settings you must provide
  5. 5
    src/cli.ts
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic815 files
web/Frontend / UI48 files
workers/Backend / API2 files
templates/Templates14 files
docs/Documentation5 files
benchmarks/Evaluations & benchmarks82 files
desktop/Folder19 files
scripts/Helper scripts17 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
unohee
Language
TypeScript
Category
claude-skill
Published
2/23/2026

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