team-discussMulti-agent tool for structured, multi-round discussions with dialectic analysis, random speaking order, shared state, and integration of real sub-agents for...
Install via ClawdBot CLI:
clawdbot install chyher/team-discussGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
A team of AI agents representing architect, backend, and tester roles collaboratively reviews and debates system architecture proposals, using dialectical logic to identify fallacies and ensure robust design decisions. This is ideal for early-stage project planning to align technical perspectives.
Product managers, UX designers, and engineers use the skill to discuss and prioritize features based on user feedback and technical feasibility, with multi-round discussions fostering consensus on roadmaps. It helps balance business goals with development constraints.
AI agents simulate stakeholders like economists, environmentalists, and policymakers to debate economic or environmental policies, leveraging citation detection and bias prevention for balanced recommendations. This supports data-driven decision-making in public sectors.
Writers and editors collaborate on story plots or character arcs, with agents playing roles like protagonist advocate or critic, using dialectical logic to refine narratives and avoid logical inconsistencies. It enhances collaborative creativity in media production.
Researchers use the skill to debate interpretations of complex topics like quantum mechanics or origins of life, with automatic fallacy detection ensuring rigorous argumentation and consensus on hypotheses. This accelerates peer review and interdisciplinary collaboration.
Offer the skill as a cloud-based service with tiered pricing based on discussion rounds, participant count, and advanced features like dialectical analysis. Revenue comes from monthly subscriptions for teams in tech, consulting, and education sectors.
Sell customized licenses to large organizations for internal use in decision-making processes, such as architecture reviews or policy analysis, with integration support and premium features like real agent callbacks. Revenue is generated through one-time or annual license fees.
Provide consulting services to integrate the skill into client workflows, such as facilitating technology selection or creative collaborations, with revenue from project-based fees and training workshops. This targets industries like management consulting and creative agencies.
💬 Integration Tip
Start by defining clear agent callbacks and using the shared store for persistence, then test with small discussions to fine-tune consensus thresholds and dialectical settings.
Scored Jun 19, 2026
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