Skill UI

A comprehensive toolkit for designing, architecting, and evaluating complex multi-agent systems. It provides structured patterns—including Supervisor, Swarm, and Pipeline—for system architecture, defines agent roles (Coordinator, Specialist), and covers best practices for communication (Event Sourcing, Message Passing), tool design, and safety guardrails, ensuring robust and scalable AI workflows.

Designs and orchestrates role-based multi-agent workflows with CrewAI, defining agent personas, tasks, processes, and memory to run complex structured collaborations and planning pipelines.

CrewAI orchestrates autonomous multi-agent teams for role-based collaboration, sequential or hierarchical workflows, and production-grade orchestration with memory and tool integrations without LangChain.

Guides administrators through configuring Kling AI for teams, covering organization creation, shared API key management, role-based permissions, quota settings, and usage monitoring for collaborative deployments.

Sets up Lindy AI’s enterprise role-based access control so teams assign Owners, Editors, and Viewers to workspaces, manage visibility, audit agent access, and enforce scoped keys across integrations.

Guides configuring OpenEvidence enterprise SSO, role-based permissions, and organization controls for clinical AI apps, covering role definitions, SAML/OIDC integration, middleware protection, session handling, and multi-tenant management.

Coordinate multiple AI agents concurrently via dmux’s tmux pane manager, running Claude Code, Codex, OpenCode and other tools in parallel tracks for research, implementation, testing, review, or multi-role coding tasks.

Guides a warm adaptive onboarding conversation to build a personalized SOUL.md for an AI partner, capturing the user’s identity, role, preferences, and vision across four phases before generating and confirming the file.

This tool generates a complete, structured TypeSpec declarative agent definition tailored for Microsoft 365 Copilot. It systematically creates necessary components including detailed role instructions, conversation starters, and a comprehensive list of required capabilities (e.g., WebSearch, OneDrive, Teams, CodeInterpreter). This ensures the agent is fully functional and ready for deployment within the M365 ecosystem.

This technique is used when the required answer in a case query is not directly stated but must be deduced by following a sequence of connected roles, people, or events. It involves mapping complex relationships, such as Victim -> Defendant -> Lawyer -> Witness, to trace indirect connections and reach the final piece of information. Ideal for advanced investigative research and deep knowledge graph traversal.