teamThe Autonomous Orchestration Framework (AOF). Defining the hierarchy, collaboration logic, and reward distribution for human-agent hybrid organizations and t...
Install via ClawdBot CLI:
clawdbot install AGIstack/teamGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Apr 5, 2026
Automates the formation of cross-functional teams for complex projects by dynamically assigning tasks to specialized AI agents based on capability matrices. Manages real-time dependencies and resolves conflicts using game-theoretic arbitration, ensuring efficient execution and alignment with organizational goals.
Orchestrates a swarm of AI agents to analyze market data, execute trades, and manage risk in real-time. Uses reward routing to distribute profits based on agent contributions and maintains swarm cohesion to prevent conflicting strategies, enhancing portfolio performance and adaptability.
Forms hybrid human-agent teams where AI agents specialize in medical imaging, data analysis, and literature review to support clinicians. Facilitates collaboration logic to integrate insights, resolve diagnostic disputes, and archive knowledge for continuous learning in patient care.
Deploys agent swarms to monitor logistics, predict disruptions, and allocate resources across a supply chain. Leverages dynamic role allocation for tasks like inventory management and route planning, with dissolution phases redistributing assets and insights for future operations.
Automates the escalation of complex customer issues by recruiting specialized AI agents for technical support, billing, and sentiment analysis. Manages communication loops and conflict resolution to ensure seamless service delivery and reward distribution based on resolution success.
Offers the Team skill as a cloud-based service with tiered pricing based on the number of agents and complexity of orchestration. Generates recurring revenue through monthly or annual subscriptions, targeting enterprises needing scalable AI team management.
Provides custom implementation of the Team framework for specific industries, including training, configuration, and ongoing support. Revenue comes from project-based fees and retainer agreements, helping clients optimize their human-agent hybrid organizations.
Licenses the Team skill with fees tied to performance metrics such as task completion rates or efficiency gains. Encourages adoption by aligning costs with value, with revenue generated from licensing agreements and success-based bonuses.
💬 Integration Tip
Start by mapping existing agent capabilities to the role allocation matrix, then pilot the Team skill in a controlled project to refine conflict resolution and reward routing before full-scale deployment.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
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Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongS...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...