Claude Skill

win4r/team-tasks

Team Tasks is a Python-based multi-agent pipeline coordination tool featuring Linear, DAG, and Debate modes for AI agent orchestration. Ideal for complex task decomposition and collaborative workfl...

Overview

Stars445
Forks82
LanguagePython
Last pushed2026-02-09
Last synced2026-07-03
View on GitHub

Repository

Ownerwin4r
Repositoryteam-tasks
Full namewin4r/team-tasks
Repo ID1,153,274,807

Install this Skill

git clone https://github.com/win4r/team-tasks.git

Registry

Typeopenclaw_skill
Quality score75/100
Verificationreadme_parsed
Last verified2026-06-11
Platforms
ClaudeOpenClaw
Capabilities
code-reviewpdfmemorysearchterminalworkflowopenclawopenclaw-skillopenclaw-skills
Detected files
README.mdSKILL.mddocs

Summary

Team Tasks is a multi-agent pipeline coordination tool that enables AI agent orchestration through Linear, DAG, and Debate modes, designed for efficient task decomposition and collaborative problem-solving.

Chinese description

多智能体流水线协调:用于AI智能体编排的线性、DAG与辩论模式

Key features

  • Linear pipeline mode for sequential task execution
  • DAG (Directed Acyclic Graph) mode for parallel and dependency-based workflows
  • Debate mode for multi-agent argumentation and consensus
  • Python-based implementation with OpenClaw integration
  • Supports complex multi-agent orchestration scenarios

Use cases

  • Automating multi-step research and analysis pipelines
  • Collaborative decision-making with agent debates
  • Parallel task execution with dependency management
  • Building modular AI agent workflows for complex projects

README excerpt

# 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 ```bash # 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: ```bash 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. ```bash 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

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Data from GitHub. Synced on 2026-07-03