mesh-builder
Build TX V4 meshes - agent configs, prompts, routing. Use for new meshes, agent roles, or multi-agent workflows. Triggers - mesh, routing, agents, multi-agent, config.yaml
Find installable AI agent workflow skills optimized for Claude Code, Cursor, Windsurf, and cross-IDE execution.
Build TX V4 meshes - agent configs, prompts, routing. Use for new meshes, agent roles, or multi-agent workflows. Triggers - mesh, routing, agents, multi-agent, config.yaml
AI/ML Paper → Presentation-ready Beamer + Quarto slides via Claude Code multi-agent workflow
AI/ML Paper → Presentation-ready Beamer + Quarto slides via Claude Code multi-agent workflow
The restapi skill provides comprehensive REST API design and implementation capabilities for AI agent workflows, benefiting developers working with API endpoint design, authentication, and testing.
Rewrite and clarify a users goal before starting a multi-agent workflow; produce a tighter goal plus constraints, acceptance criteria, assumptions, and any clarifying questions.
Work incrementally on Issues with Git worktree support for parallel agent workflows. Use when starting a coding session, continuing work, or running parallel agents.
Comprehensive documentation and assistance for DMtools - AI-powered development toolkit with 96+ MCP tools for Jira, Azure DevOps, Figma, Confluence, Teams, and test automation. Use when working with DMtools, configuring integrations, developing JavaScript agents, generating test cases, building reports (ReportGenerator/dmc_report), creating CLI agent workflows, or setting up CI/CD run tracing (ciRunUrl) for Teammate/Expert/TestCasesGenerator jobs.
Implement multi-agent coordination patterns (supervisor-subagent, router, orchestrator-worker, handoffs) for LangGraph applications. Use when users want to (1) implement multi-agent systems, (2) coordinate multiple specialized agents, (3) choose between coordination patterns, (4) set up supervisor-subagent workflows, (5) implement router-based agent selection, (6) create parallel orchestrator-worker patterns, (7) implement agent handoffs, (8) design state schemas for multi-agent systems, or (9) debug multi-agent coordination issues.
Commit message routing rules for multi-agent workflows. Defines the header format, valid values, routing table, and examples for automated agent handoffs.
Real-time monitoring dashboard for PAI multi-agent activity. USE WHEN user says start observability, stop dashboard, restart observability, monitor agents, show agent activity, or needs to debug multi-agent workflows.
Multi-step AI workflows, orchestration chains, and reusable execution patterns.
SOP execution, handoff automation, and repeatable team operations.
PDF, DOCX, reports, templates, and repeatable content operations.