Find installable AI agent workflow skills optimized for Claude Code, Cursor, Windsurf, and cross-IDE execution.
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
The iterative-retrieval skill refines context retrieval for subagents, solving the context problem in multi-agent workflows. It benefits developers by progressively refining context.
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.