workflowstacks
automation

Taskosaur: Automate Workflow

Get conversational AI task execution for your team with Taskosaur, an open source project management tool for teams seeking efficient workflow management.
542 stars106 forksTypeScriptGuide quality 9/10Updated 7/21/2026100% free · open source
What it does

Taskosaur is an open-source project management tool that enables conversational AI task execution for efficient workflow management in teams.

When to use it
  • •When you need to automate repetitive tasks through conversational AI
  • •When your team requires a self-hostable project management solution with modular architecture
  • •When you want to combine traditional project management features with conversational workflow management
Ready-to-paste prompt
@task Create a new project called 'Startup Launch' with a deadline in two weeks
Heads up: Ensure you have Node.js (version 14 or higher) installed on your system, as Taskosaur is built with TypeScript and requires a compatible Node.js runtime
Saves to your device
Use with Claude
New

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

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/taskosaur && curl -fsSL https://workflowstacks.com/api/skills/taskosaur/claude-skill -o ~/.claude/skills/taskosaur/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 Taskosaur: Automate Workflow works
Codeflow
Free to inspect

Taskosaur: Automate Workflow is a very large TypeScript project (~153k lines across 844 code files, plus 76 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, Other license, has a test suite.

Size
Very large codebase
~153k lines · 844 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%CSS 4%JavaScript 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    frontend/server.js
    Where the program starts running
  4. 4
    package.json
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
frontend/Frontend / UI584 files
backend/Backend / API494 files
docker/Deployment / infrastructure3 files
scripts/Helper scripts3 files
.github/CI / automation (GitHub Actions)6 files
assets/Images & static assets5 files
.husky/Tool / agent settings1 files
READMEHas testsDocumentedCI checksDocker readyOther licenseUpdated this month
Quick Actions
Details
Creator
Taskosaur
Language
TypeScript
Category
automation
Published
7/30/2025

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