Team Planner for Openclaw

Team Planner is a specialized utility for designing, structuring, and orchestrating multi-agent AI teams to tackle complex, high-scale technical projects.

ghost0118
v1.0.0
Mar 20, 2026
0
817
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install team-planner

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install team-planner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Team Planner?

The Team Planner skill provides a systematic framework for users of Openclaw Skills to transition from single-agent prompts to sophisticated multi-agent architectures. It functions as a high-level architect that analyzes task requirements, assesses whether a task justifies parallel processing, and then designs a customized team structure.

By defining specific roles such as researchers, architects, and developers, this skill ensures that complex objectives are decomposed into manageable workstreams. It eliminates the trial-and-error often associated with agent coordination by providing structured communication patterns and clear handoff protocols between different AI entities.

Team Planner Use Cases

  • Designing a comprehensive development team for full-stack web applications involving frontend, backend, and DevOps roles.
  • Structuring parallel research workflows where multiple agents must analyze different data sources simultaneously.
  • Planning complex data migration or analysis projects that require separate cleaning, processing, and reporting phases.
  • Creating a quality assurance pipeline where dedicated testing and documentation agents validate the output of developer agents.

How Team Planner Works

  1. Task Analysis: The skill evaluates the primary objective, technical domain, and complexity to understand the scope of work.
  2. Necessity Assessment: It determines if the task benefits from a multi-agent approach or if a single agent is more efficient to minimize coordination overhead.
  3. Role Definition: If a team is required, it identifies the specific roles needed (e.g., Architect, Tester, Analyst) and assigns distinct responsibilities to each.
  4. Workflow Mapping: It establishes a phase-based collaboration plan, identifying which agents depend on the output of others.
  5. Communication Design: The skill specifies when agents should use broadcast messages versus direct peer-to-peer communication.
  6. Implementation Roadmap: It generates a precise startup sequence including specific prompt templates for each agent in the team.

Team Planner Setup

To integrate Team Planner into your environment, ensure you have the core framework installed and the skill enabled in your configuration.

# Enable the team-planner skill in your local environment
openclaw skills add team-planner

# Trigger the planning workflow
openclaw run team-planner "Plan a team for a cloud-native migration project"

Team Planner Data Schema & Taxonomy

The skill generates a structured Team Architecture Plan with the following metadata taxonomy:

Section Description
Task Summary Goals, scope, and complexity metrics.
Member Roles Detailed breakdown of responsibilities and startup prompts for each agent.
Phases Chronological workflow stages with clear completion criteria.
Communication Logic for broadcasts and direct messaging between agents.
Startup Sequence The exact order and syntax for initializing the AI team.

Team Planner Advanced Features

  • Dynamic Role Patterning: Automatically selects from pre-defined agent templates like 'researcher' or 'architect' based on technical domain.
  • Dependency Path Analysis: Identifies critical path dependencies to prevent workflow bottlenecks.
  • Automated Startup Templates: Generates ready-to-use JavaScript or CLI calls for initializing separate agent sessions.
  • Success Checkpoint Integration: Embeds validation requirements into every phase transition to ensure high-quality outputs across Openclaw Skills.

SKILL.md


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