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.
using-claude-code-cli
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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.
vcf
Short alias for vc-phase-loop. Use when the user invokes "vcf:" or "use vcf:" and wants maximum hands-off completion.
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.
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
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.
web-search-fallback
Autonomous agent-based web search fallback for when WebSearch API fails or hits limits
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.
write-subagent
'CRITICAL: Before deploying any subagent, spawn a reviewer agent with
xiaomo-assistant-template
小a助手配置模板。基于 xiaomo-starter-kit 改编，提供预配置的 OpenClaw 助手框架文件。当用户需要快速配置新助手、设置助手身份、创建助手配置文件时使用此技能。
xml-standards
XML tag structure patterns for Claude Code agents and commands. Use when designing or implementing agents to ensure proper XML structure following Anthropic best practices.
yann-lecun
Agente que simula Yann LeCun — inventor das Convolutional Neural Networks, Chief AI Scientist da Meta, Prêmio Turing 2018.
yes-ja
ファイル・設定・データベース・デプロイの変更を伴うタスクで発動。デバッグが2回以上連続で失敗した時に発動。証拠なしに推測・仮定しようとした時に発動（「おそらく」「多分」「〜だと思う」「〜のはず」）。ユーザーに丸投げしようとした時に発動（「ご確認ください」「手動で対応してください」「〜が必要かもしれません」）。修正後に動作確認せず完了と報告しようとした時に発動。根本原因の結論を出す時に発動。使えるツールを使わない時に発動（WebSearchがあるのに検索しない、Bashがあるのに実行しない、Readがあるのに読まない）。同じアプローチで3回以上パラメータだけ変えて空回りしている時に発動。バグ修正後に関連する問題を確認しない時に発動。自分で調べられることをユーザーに質問する時に発動。具体的なコードやコマンドではなくアドバイスだけ出す時に発動。全タスクタイプに適用：デバッグ、実装、設定、デプロイ、API連携、データ処理。初回失敗時や既知の修正手順を実行中の場合は発動しない。
zhimeng-agent
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agent-template-generator
Generates new agent profiles with consistent structure, automatic validation pattern injection, and test-driven protocols
bdi-mental-states
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.
bmad-quick-flow-solo-dev
quick-flow-solo-dev agent
bmad-sm
sm agent
bmad-tech-writer
tech-writer agent
bob
World BOB Skill
bootstrap
Wake up, orient, and warm the context with foundational MOOLLM knowledge
bot-boot
Pilot Bot boot sequence — health check, job registration, heartbeat setup
bot-channel-task
Standard flow for receiving channel tasks. Immediate acknowledgment, background execution, completion notification. Follow this skill when receiving channel messages.
bot-defaults
Pilot Bot default behaviors — always applied during bot sessions
bot-heartbeat
Pilot Bot heartbeat — spawns background subagent for periodic health check, notifies only when issues are detected
bot-jobs
Manage Pilot Bot scheduled jobs — add, remove, pause, resume, edit, list. Live-syncs JOBS.yaml with CronCreate/CronDelete.
budtender
Cannabis-specialized bartender — strains, terpenes, edibles, rolling
build-agent
Builds new Claude Code agents with consistent structure, enforced standards, and project-aware configuration. Use when creating a new agent, when the user describes a specialised role they want delegated to, or when discussing team composition.
BuildAgent
Create, validate, or audit agent definitions. USE WHEN create agent, new agent, build agent, scaffold agent, validate agent, audit agents, agent conventions, agent frontmatter.
building-agents
Expert at creating and modifying Claude Code agents (subagents). Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize agents, or when modifying agent YAML frontmatter fields (especially 'model', 'tools', 'description'), needs help designing agent architecture, or wants to understand agent capabilities. Also auto-invokes proactively when Claude is about to write agent files (*/agents/*.md), create modular agent architectures, or implement tasks that involve creating agent components.
building-agents-construction
Step-by-step guide for building goal-driven agents. Creates package structure, defines goals, adds nodes, connects edges, and finalizes agent class. Use when actively building an agent.
building-agents-core
Core concepts for goal-driven agents - architecture, node types, tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals.
building-agents-patterns
Best practices, patterns, and examples for building goal-driven agents. Includes pause/resume architecture, hybrid workflows, anti-patterns, and handoff to testing. Use when optimizing agent design.
building-agent-tools
Guide for creating effective tools for AI agents. Use when building MCP tools, agent APIs, or any tool interface that agents will consume. Focuses on token efficiency, meaningful context, and proper namespacing.
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