langgraph-architecture
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
deepagents-implementation
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
deepagents-architecture
Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.
agent-patterns
This skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system.
Decision Frameworks
Decision-making methodologies, scoring frameworks, and planning strategies for Group 2 agents in four-tier architecture
jbct-review
Thorough parallel JBCT code review. Launches 10 focused reviewers plus aggregator for comprehensive compliance checking.
plan-swarm
Refine plans through multi-agent expert discussion. Use when user says "get multiple expert opinions on this plan", "I want different perspectives on this approach", "have the agents discuss this strategy", "refine the plan through collaborative review", or "what would different specialists think about this design".
flow-coach
Interactive claude-flow orchestration coach that guides users through swarm topology selection, agent deployment, memory configuration, and SPARC workflows. Use when learning claude-flow, choosing between swarm vs hive-mind, selecting agents, or optimizing multi-agent coordination. NEVER auto-executes - always displays recommendations and asks first.
debate-simulator
Spin up 2-3 expert personas to debate any topic from different angles. Structure: Opening statements, rebuttals, cross-examination, closing arguments.
expert-panel
Assemble 2-3 complementary experts to collaboratively analyze anything. Experts work together to explore topics from multiple expert angles.
skill-orchestrator
This skill orchestrates programming tasks by analyzing available Claude Code skills and creating execution plans. It should be used when working on any coding task that could benefit from multiple specialized skills. The skill supports two execution modes selected by user - manual (Claude executes with explicit skill references) or delegated (tasks sent to sub-agents with skills).
research
Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Launches up to 10 parallel research agents for fast results. USE WHEN user says 'do research', 'research X', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.
aws-strands
Build AI agents with Strands Agents SDK. Use when developing model-agnostic agents, implementing ReAct patterns, creating multi-agent systems, or building production agents on AWS. Triggers on Strands, Strands SDK, model-agnostic agent, ReAct agent.
ntm
Named Tmux Manager - Multi-agent orchestration for Claude Code, Codex, and Gemini in tiled tmux panes. Visual dashboards, command palette, context rotation, robot mode API, work assignment, safety system. Go CLI.
agent-fungibility
The philosophy and practical benefits of agent fungibility in multi-agent software development. Why homogeneous, interchangeable agents outperform specialized role-based systems at scale.
agent-mail
MCP Agent Mail - Mail-like coordination layer for multi-agent workflows. Identities, inbox/outbox, file reservations, contact policies, threaded messaging, pre-commit guard, Human Overseer, static exports, disaster recovery. Git+SQLite backed. Python/FastMCP.
cm
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
agent-swarm-workflow
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation. Includes exact prompts used.
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