teamworkDynamically creates and manages AI agent teams for complex tasks. Invoke when user requests multi-agent collaboration, complex project execution, or when tasks require specialized roles and coordinated workflow.
Install via ClawdBot CLI:
clawdbot install chenxinbest/teamworkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
${OPENAIUses known external API (expected, informational)
api.anthropic.comAI Analysis
The skill's primary risk is credential management, as it prompts users to input API keys and stores them locally, which could be exposed if the file system is compromised. The external API usage (OpenAI, Anthropic) is consistent with the skill's stated purpose of multi-agent collaboration. No evidence of hidden instructions, data exfiltration, or obfuscation was found in the provided snippet.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A user needs to build a web application from scratch. The skill creates a team with roles like project manager, frontend developer, backend developer, and QA tester, coordinating tasks such as requirements analysis, UI design, API development, and testing. It selects optimal models for each role based on capabilities and cost, ensuring efficient workflow and quality output.
A business wants to analyze and optimize a digital marketing campaign. The skill assembles a team including a data analyst, content strategist, and performance reviewer to process metrics, generate insights, and recommend adjustments. It leverages multiple AI models for data processing and creative tasks, balancing speed and accuracy.
An academic researcher requires assistance in drafting and reviewing a complex paper. The skill forms a team with roles like literature reviewer, writer, and editor to gather sources, structure content, and ensure coherence. It uses specialized models for reasoning and analysis, optimizing for depth and cost-effectiveness.
A startup needs to prototype a new product concept. The skill creates a team including a designer, engineer, and user experience specialist to iterate on sketches, technical specs, and feedback. It coordinates tasks across models with different capabilities, ensuring iterative improvements and budget adherence.
A financial analyst needs to compile quarterly reports with data analysis and insights. The skill builds a team with a data processor, report writer, and compliance checker to aggregate data, draft narratives, and verify accuracy. It selects models based on pricing and performance, managing concurrent tasks efficiently.
Offer tiered monthly subscriptions for access to the skill, with limits on team size, task complexity, or model usage. Include premium tiers with advanced features like custom role definitions and priority support, generating recurring revenue from businesses and power users.
Charge users based on actual usage, such as per task executed or tokens consumed across AI models. Implement transparent pricing aligned with provider costs, with optional budget caps and alerts, appealing to cost-conscious users who need flexibility.
Provide customized enterprise packages with dedicated support, enhanced security, and integration with existing workflows. Offer volume discounts and SLA guarantees, targeting large organizations that require scalable, reliable multi-agent collaboration solutions.
💬 Integration Tip
Ensure all configuration files are properly set up before first use to avoid interruptions; regularly update model scores for optimal performance.
Scored Apr 19, 2026
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