sub-agent-patterns
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sub-agents
Create and configure Claude Code sub-agents with custom prompts, tools, and models
subagent
Activate when you are a delegated subagent (not the orchestrator). Establishes subagent protocol with terse returns, details to history/, file ownership boundaries, and escalation rules. You implement; orchestrator reviews and commits.
subagents
Imported skill subagents from langchain
super-agent-orchestrator
Autonomous system combining Cognitive Nexus patterns, Mastermind forensics,
super-ralph-wiggum
Super Ralph Wiggum - autonomous iteration loops with templates, PRD support, progress tracking, and browser testing. This skill should be used when running Claude Code in autonomous loops for test coverage improvement, PRD-based feature development, documentation generation, dataset creation, lint fixing, code cleanup, or framework migrations. Combines the plugin's in-session loop mechanism with specialized templates and best practices from Geoffrey Huntley, Ryan Carson, and AI Hero.
supervisor-agent
Court-grade intake supervisor. Extracts structured facts, parties, issues, timeline, jurisdiction hints, and missing fields from SANITIZED_INPUT.json.
surrealfs
SurrealFS virtual filesystem for AI agents. Rust core + Python agent (Pydantic AI). Persistent file operations backed by SurrealDB. Part of the surreal-skills collection.
switch-persona
> Note: This skill has been adapted from claude-skillz
system-overview
Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination
task-completion-focus
Focuses on a specific target object to signal task completion. Execute this skill when you have produced the required final object (like a grown banana) and need to formally complete the assigned task. This handles the 'focus on OBJ' action that typically marks successful task execution in the environment.
teammate
Spawn or manage voice teammates. Each teammate is a separate Claude personality in its own tmux pane.
terminal-agents
High-Performance CLI AI Agents (Claude Code, Gemini CLI, Open Code).
tool-calling
Define tools as structured interfaces the model can call, then implement
tool-design-pattern
Automatically applies when creating AI tool functions. Ensures proper schema design, input validation, error handling, context access, and comprehensive testing.
tool-discovery
Guide for discovering and using MCP tools via the discover_tools meta-tool. Use this skill when asked to perform tasks that require finding the right tools, when you see only discover_tools in your available tools, when asked "what tools are available", "find tools for X", or when planning multi-step workflows across Slack, WhatsApp, Google, or Slides.
tool-search
Semantic tool search with embeddings for scalable tool discovery. Enables on-demand tool loading to reduce context usage by 90%+ for large tool libraries.
tool-selection
CLI-first tool selection policy for Claude Code. Use when choosing between CLI tools and MCP servers, designing new agents, or reviewing agent tool configurations. Do NOT use for executing commands or running tools -- this is for tool selection decisions during agent/config design only.
tool-selection-framework
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tool-use
Tool use patterns for Claude including schema design, tool_choice modes, result handling, parallel execution, error recovery, and extended thinking integration.
tool-use-patterns
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tour
Friendly onboarding when users ask about capabilities
train
Auto-generate custom agents and skills for remaining capability gaps after assembly. Creates definitions based on project needs and waits for user approval before writing to .claude/.
troubleshoot-and-continue
Troubleshooting protocol with MiniMax subagent delegation - NEVER stop early, use all resources before asking user
typespec-create-agent
Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot
understand-intent
Detect user's intent from their message and activate the right workflow silently.
use-toon
Use TOON (Token-Oriented Object Notation) with schema.org vocabulary for prompting and instructing subagents and builtin agents. Use when delegating tasks to agents, structuring agent prompts, or specifying expected response formats. DO NOT use for external API calls or when JSON parsing is required.
user-input-protocol
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using-loaded-knowledge
MANDATORY protocol enforcing knowledge check before EVERY response - prevents explaining systems without reading docs, claiming without verification, and ignoring auto-loaded context
using-trajectories-sdk
Use when programmatically creating or managing agent trajectories in TypeScript - provides TrajectoryClient for persistent storage and TrajectoryBuilder for in-memory construction
validate-agent
Validation agent that validates plan tech choices against current best practices
vault-guide
Interactive onboarding agent for content marketing associate candidates and vault orientation for Charlie. Walks candidates through the OpenEd content system, discovers their strengths, guides them to produce real output, and helps them write a contract proposal.
vc-phase-loop
Ultimate autonomous execution engine. Plan → Execute → Test → Never Stop Until Done. Use when the user wants hands-off completion with no questions, automatic recovery from any failure, and proven results.
vcf
Short alias for vc-phase-loop. Use when the user invokes "vcf:" or "use vcf:" and wants maximum hands-off completion.
vibe-agents
Generate AGENTS.md and AI configuration files for your project. Use when the user wants to create agent instructions, set up AI configs, or says "create AGENTS.md", "configure my AI assistant", or "generate agent files".
virtuals-protocol
Virtuals Protocol - Build, tokenize, and deploy autonomous AI agents on Base/Solana. Use for creating agents with GAME framework, launching agent tokens, implementing Agent Commerce Protocol (ACP), and building AI-powered applications.
VoltAgent Development
Create and configure VoltAgent AI agents with tools, memory, hooks, and sub-agents. Use when building AI agents, adding agent tools, configuring VoltAgent memory, creating multi-agent workflows, or debugging VoltAgent integrations.
wasm-agent
Create and manage sandboxed WASM agents for isolated code execution
web-search-fallback
Autonomous agent-based web search fallback for when WebSearch API fails or hits limits
webresearcher
Also called "wr". Optional research agent for broad multi-source research without polluting context. Use when user requests it or when research needs depth across many sites.
wechat-automation
当用户要求"微信监听"、"消息提取"、"Agent 开发"、"wxauto"、"Accessibility API"、"UI 自动化"、"输入框控制"、"Platform Agent"，或者提到"微信自动化"、"消息监控"、"WeChat monitoring"时使用此技能。用于开发 WeReply 的 Platform Agent（Windows wxauto 或 macOS Accessibility API）、实现微信消息监听、消息提取、输入框控制和 Agent 错误处理。
welcome
Introduce yourself to a newly connected channel. Triggered automatically when a channel is first wired. Send a friendly greeting and brief overview of what you can do.
wiggum
Start an autonomous implementation loop from a spec or PRD. Enters plan mode for user approval, enforces command gates (test/lint/typecheck/build), validates dependencies, commits incrementally, and maintains documentation and changelog. Production-ready quality gates.
worker
Execute beads autonomously within a track. Handles bead-to-bead context persistence via Agent Mail, uses preferred tools from AGENTS.md, and reports progress to orchestrator.
worker-focused-execution
Focused task execution for persistent team workers. Use when implementing features, following scope constraints, using TDD red-green-refactor, validating with browser/API/unit tests, or participating in voting consensus. Triggers on worker execution, feature implementation, scope enforcement, TDD, red-green-refactor, validation, superpowers skills, verification before completion.
worker-protocol
Defines behavior protocol for spawned worker agents. Injected into worker prompts. Covers startup, progress reporting, exit conditions, and handover preparation.
working-with-ms-agent-framework
Use when building AI agents with Microsoft Agent Framework (Semantic Kernel + AutoGen unified); when implementing memory or context providers; when threads won't deserialize; when workflow checkpointing fails; when migrating from Semantic Kernel or AutoGen; when seeing ChatAgent or AgentThread errors
world-agent
Train and deploy generative UI agents using behavioral programming constraints, A2A protocol for agent interoperability, and pattern registry for composition. Use when working with agent training, trajectory generation, reward computation, A2A integration, or deploying models.
wow-applying-fixer-workflow
Complete fixer agent workflow including report discovery, validation strategy (HIGH/MEDIUM/FALSE_POSITIVE confidence), fix application, and fix report generation. Use when implementing or updating fixer agents.
wow-executing-checker-workflow
Step-by-step validation workflow for checker agents - initialize report, discover content, validate progressively, finalize with summary. Use when implementing or updating checker agents.
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