Team Tasks

Team Tasks — Multi-Agent Pipeline Coordination

A Python CLI tool for coordinating multi-agent development workflows through shared JSON task files. Designed for use with [OpenClaw](https://github.com/openclaw/openclaw) and AI agent orchestration systems.

Features

Three coordination modes for different workflows:

Mode	Description	Use Case
Linear	Sequential pipeline with auto-advance	Bug fixes, simple features, step-by-step workflows
DAG	Dependency graph with parallel dispatch	Large features, spec-driven dev, complex dependencies
Debate	Multi-agent position + cross-review	Code reviews, architecture decisions, competing hypotheses

Requirements

• Python 3.12+ (stdlib only, no external dependencies)
• Data stored as JSON in /home/ubuntu/clawd/data/team-tasks/ (override with TEAM_TASKS_DIR env var)

Installation

# Clone the repo
git clone https://github.com/win4r/team-tasks.git

# No pip install needed — it's a standalone script
python3 team-tasks/scripts/task_manager.py --help

For OpenClaw skill integration, copy to your skills directory:

cp -r team-tasks/ /path/to/clawd/skills/team-tasks/

Quick Start

Mode A: Linear Pipeline

A sequential pipeline where agents execute one after another in order.

TM="python3 scripts/task_manager.py"

# 1. Create project with pipeline order
$TM init my-api -g "Build REST API with tests and docs" \
  -p "code-agent,test-agent,docs-agent,monitor-bot"

# 2. Assign tasks to each stage
$TM assign my-api code-agent "Implement Flask REST API: GET/POST/DELETE /items"
$TM assign my-api test-agent "Write pytest tests, target 90%+ coverage"
$TM assign my-api docs-agent "Write README with API docs and examples"
$TM assign my-api monitor-bot "Security audit and deployment readiness check"

# 3. Check what's next
$TM next my-api
# ▶️  Next stage: code-agent

# 4. Dispatch → work → save result → mark done
$TM upda