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win4r/team-tasks

Multi-agent pipeline coordination: Linear, DAG, and Debate modes for AI agent orchestration

History

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Individual skills in this repository

How it works

team-tasks

When your agent uses it

Coordinate multi-agent development pipelines using shared JSON task files. Use when dispatching work across dev team agents (code-agent, test-agent, docs-agent, monitor-bot), tracking pipeline progress, or running sequential/parallel workflows. Covers project init, task assignment, status tracking, agent dispatch via sessions_send, and result collection. Supports two modes: linear (sequential pipeline) and dag (dependency graph with parallel execution).

What it loads into context

Frontmatter

93 tokens

Always available to the agent

SKILL.md

2,976 tokens

When the skill is activated

Reference documents

6,302 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Overview
  2. Task Manager CLI
  3. Pipeline Workflow (Mode A: Linear)
  4. Agent Dispatch Details
  5. Mode B: DAG Workflow (Parallel Dependencies)
  6. Custom Pipelines
  7. Choosing Between Modes
  8. Data Location
  9. ⚠<U+FE0F> Common Pitfalls
  10. Tips

Scripts executed separately

  • scripts/task_manager.py

Files

  • README.mddoc11,277 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SKILL.mdcore11,570 bytes
  • SPEC.mddoc4,754 bytes
  • docs/AGENT_TEAMS_OFFICIAL_DOCS.mddoc4,696 bytes
  • docs/GAP_ANALYSIS.mddoc5,232 bytes
  • docs/debate-mode-flow.svgasset18,777 bytes
  • docs/dev-team-agents-detail.svgasset21,268 bytes
  • docs/three-modes-overview.svgasset19,561 bytes
  • scripts/task_manager.pyruns38,860 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

  • team-tasks

Repository facts

License
No license detected
Created
Feb 9, 2026
Last pushed
Feb 9, 2026
Forks
81
Open issues
0
Project activity
Slowing

Before you install

Local scripts

Automated signals, not a guarantee

Checked Nov 5, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 12 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
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  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
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  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 11 signals by file

README.md

  • Network accessline 3
    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.
  • Network accessline 23
    # Clone the repo git clone https://github.com/win4r/team-tasks.git
  • Network accessline 24
    git clone https://github.com/win4r/team-tasks.git
  • Network accessline 245
    This tool is designed as an [OpenClaw Skill](https://docs.openclaw.ai). The orchestrating agent (AGI) dispatches tasks to worker agents via `sessions_send` and tracks state through the CLI.

docs/AGENT_TEAMS_OFFICIAL_DOCS.md

  • Network accessline 1
    # Claude Code Agent Teams — Official Documentation Source: https://docs.anthropic.com/en/docs/claude-code/agent-teams (fetched 2026-02-08)
  • Network accessline 2
    Source: https://docs.anthropic.com/en/docs/claude-code/agent-teams (fetched 2026-02-08)

docs/debate-mode-flow.svg

  • Network accessline 1
    <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1100 920" font-family="'Segoe UI', 'PingFang SC', 'Microsoft YaHei', sans-serif">

docs/dev-team-agents-detail.svg

  • Network accessline 1
    <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1100 960" font-family="'Segoe UI','PingFang SC','Microsoft YaHei',sans-serif">

docs/three-modes-overview.svg

  • Network accessline 1
    <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1100 780" font-family="'Segoe UI', 'PingFang SC', 'Microsoft YaHei', sans-serif">

scripts/task_manager.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 34
    [Credential-related source omitted]

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 8 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.