agent-select
Analyze tasks and recommend optimal sub-agent(s) for execution
anti-conflict
Prevent file conflicts between multiple AI agents working in parallel
gastown
Multi-agent orchestrator for Claude Code. Use when user mentions gastown, gas town, gt commands, bd commands, convoys, polecats, crew, rigs, slinging work, multi-agent coordination, beads, hooks, molecules, workflows, the witness, the mayor, the refinery, the deacon, dogs, escalation, or wants to run multiple AI agents on projects simultaneously. Handles installation, workspace setup, work tracking, agent lifecycle, crash recovery, and all gt/bd CLI operations.
antahkarana
Multi-perspective reasoning through Upanishadic Antahkarana voices. Use for complex problems requiring diverse viewpoints and synthesis. Spawns multiple Claude agents that reason from different perspectives and synthesize wisdom.
multi-agent-composition
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lattice-spatial-collective
Multi-agent distributed context preservation protocol using cryptographic sharding, gossip propagation, and Byzantine fault tolerance to maintain coherent shared memory across dynamic agent networks.
rtc-consensus-synthesis
Execute the Recursive Thought Committee (RTC) protocol by generating and harmonizing inputs from 5 specialized cognitive personas.
agent-task-delegator
Delegate tasks across multi-agent architectures with proper context preservation.
agent-task-conductor
Conduct multi-agent task orchestration and workflow coordination.
subagent-orchestration
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dispatching-parallel-agents
Dispatches one subagent per independent domain to parallelize investigation/fixes. Use when you have 2+ unrelated failures (e.g., separate failing test files, subsystems, bugs) with no shared state or ordering dependencies.
slipstream-protocol
Slipstream Protocol v2 - Semantic Quantization for Multi-Agent Communication
multi-agent
Build multi-agent systems - orchestration, coordination, workflows, and distributed architectures
agent-orchestration
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
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".
