Subagents, all 2,021 of them.
Specialist agents your main agent can delegate to. Browse subagent definitions from the public directories. Add one to your gateway and every agent you use gets it through one link.
771 results · page 9 of 26 · 43 low signal or duplicate entries are not listed
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Mobile DevAI & models
Expert agent for React Native mobile application development across iOS and Android
★ 797
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Performance OptimizationAI & models
Comprehensive suite of performance optimization agents for swarm efficiency and scalability
★ 797
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Swarm CoordinationAI & models
Specialized swarm coordination agents for claude-code-flow hive-mind system with different topologies
★ 797
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Swarm PrAI & models
Pull request swarm management agent that coordinates multi-agent code review, validation, and integration workflows with automated PR lifecycle management
★ 797
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Workflow AutomationAI & models
GitHub Actions workflow automation agent that creates intelligent, self-organizing CI/CD pipelines with adaptive multi-agent coordination and automated optimization
★ 797
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Pr Comment ResolverAI & models
Use this agent when user asks to "address PR comments", "resolve PR feedback", "handle review comments", "fix PR issues", or "respond to PR review". Examples: <example> Context: User has received review feedback on their PR user: "address the PR comments on #42" assistant: "I'll use the pr-comment-r
★ 1k
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Pr ReviewerAI & models
Use this agent when user asks to "review a PR", "review pull request", "review this pr", "code review this PR", "check PR #N", or provides a GitHub PR URL for review. Examples:\n\n<example>\nContext: User wants to review the PR for the current branch\nuser: "review this pr"\nassistant: "I'll use the
★ 1k
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Ash Query OptimizerAI & models
Ash query optimizer — detects N+1 loads, suggests aggregates over load+Enum, identifies calculation vs load tradeoffs. Use when reviewing Ash queries, LiveView data loading, or domain action efficiency.
★ 534
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Ash Resource DesignerAI & models
Ash resource architect — designs resources the "Ash Way" with built-in changes, validations, types, and policy checks before hand-rolling. Use proactively when planning new resources or extending existing ones.
★ 534
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Catchup RunnerAI & models
Does the catch-up fan-out, impact analysis, and brief assembly for /catchup on Sonnet (cheaper/faster than the caller's session). Spawned by the /catchup and /ketchup skills with a pre-resolved time window. Not user-invoked directly.
★ 534
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Context SupervisorAI & models
Compresses multi-agent output into consolidated summaries to prevent context exhaustion. Generic — works for any orchestrator. Use after sub-agents complete and before parent synthesis.
★ 534
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Deep Bug InvestigatorAI & models
Deep bug investigation using 4 parallel subagents (reproduction, root cause, impact, fix strategy). Use when bug is complex, can't be reproduced locally, or needs thorough analysis. Spawns fresh-context subagents for each investigation track.
★ 534
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Elixir ReviewerAI & models
Expert Elixir/Phoenix code reviewer - idioms, patterns, performance, conventions. Use proactively after writing Elixir code.
★ 534
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Hex Library ResearcherAI & models
Researches Elixir libraries on hex.pm. Use when evaluating libraries for a feature, checking alternatives, or verifying library quality and compatibility.
★ 534
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Iron Law JudgeAI & models
Checks code for Iron Law violations using pattern analysis. Use proactively after code changes or as part of review.
★ 534
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Liveview ArchitectAI & models
LiveView architecture specialist - component structure, real-time patterns, streams vs assigns, async patterns. Use proactively when planning interactive features.
★ 534
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Oban SpecialistAI & models
Oban worker specialist - reviews idempotency, error handling, and production safety. Use proactively when implementing or reviewing background jobs.
★ 534
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Phoenix Patterns AnalystAI & models
Analyzes codebase for existing Phoenix patterns, contexts, module structure, scopes, plugs, and routing. Use proactively when planning features to understand current conventions.
★ 534
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Planning OrchestratorAI & models
Orchestrates feature planning by coordinating specialized agents. Internal use - spawns research, architecture, and review agents. Use proactively when comprehensive planning needed.
★ 534
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Testing ReviewerAI & models
Reviews test code for Elixir best practices - ExUnit patterns, Mox usage, LiveView testing, factory patterns. Use proactively after writing tests or during code review.
★ 534
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Verification RunnerAI & models
Run project-aware verification loop. Reads mix.exs to discover tools (credo, dialyzer, sobelow, ex_check), test commands, and custom aliases. Use proactively after code changes.
★ 534
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Web ResearcherAI & models
Fetches and extracts information from web sources efficiently. Optimized for ElixirForum, HexDocs, and GitHub. Spawned by /phx:research or planning-orchestrator with pre-searched URLs or focused queries.
★ 534
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Workflow OrchestratorAI & models
Orchestrates the full agentic workflow cycle (plan → work → review). Internal use by /phx:full command.
★ 534
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Xref AnalyzerAI & models
Analyze module dependencies and context boundaries using mix xref. Use proactively before major refactors or when reviewing architectural changes.
★ 534
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Cli Explore AgentAI & models
Read-only code exploration via Bash + CLI semantic dual-source analysis, with schema-validated structured output.
★ 537
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Llm ExpertAI & models
Use this agent for AI SDK integration, LLM provider configuration, prompt template management, error handling for AI APIs, and optimizing LLM workflow patterns within Output. Specializes in Anthropic Claude and OpenAI integrations.
★ 434
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Nodejs ExpertAI & models
Use this agent for Node.js ES module patterns, TypeScript configuration and build tooling, monorepo NPM package structure, and performance optimization. Specializes in Output.ai package architecture with both JavaScript and TypeScript projects.
★ 434
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Temporal ExpertAI & models
Use this agent for Output.ai workflow abstractions, designing activity boundaries, implementing error handling patterns, optimizing worker performance, and testing Temporal workflows with Output.ai patterns. Specializes in LLM workflow integration and Output.ai best practices.
★ 434
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Testing ExpertAI & models
Use this agent for Output.ai testing strategies including Vitest configuration, Temporal workflow testing, LLM mocking, integration testing, and test performance optimization. Specializes in JavaScript testing patterns with Output.ai abstractions.
★ 434
