dba-admin
DBA Admin Agent. 백업, 복구, 보안, 권한 관리를 담당합니다.
dba-architect
DBA Architect Agent. 스키마 설계, 정규화, 데이터 모델링을 담당합니다.
dba-tuner
DBA Tuner Agent. 쿼리 최적화, 인덱스 설계, 슬로우 쿼리 분석을 담당합니다.
debugging-agent
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decisive-agent
Enforces decisive decision-making. Search best practices, decide on ONE option, provide reasoning. NEVER ask user to choose.
deep-agents-core
INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.
deep-agents-memory
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
deep-executor
Deep executor mode for complex goal-oriented tasks
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.
deepagents-cli
使用 Deep Agents CLI - 终端界面、持久化内存(AGENTS.md)、项目约定、技能目录和 CLI 命令。
deepagents-code-review
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
deepagents-filesystem
使用 FilesystemMiddleware 实现虚拟文件系统、后端(State、Store、Filesystem、Composite)和 Deep Agents 的上下文管理。
deepagents-hitl
在 Deep Agents 中实现人工审批工作流,使用 interruptOn 参数对敏感工具操作进行人工干预。
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-memory
在 Deep Agents 中实现长期内存,使用 StoreBackend、CompositeBackend 和 InMemoryStore 进行跨会话的持久化数据存储。
deepagents-overview
理解 Deep Agents 框架 - 它们是什么、如何使用 createDeepAgent 创建,以及 agent harness 架构,包括内置的规划、文件系统和子代理中间件。
deepagents-skills
在 Deep Agents 中创建和使用自定义技能,实现渐进式披露、SKILL.md 格式和 Agent Skills 协议。
deepagents-subagents
在 Deep Agents 中使用 SubAgentMiddleware 启动子代理进行任务委托、上下文隔离和专门工作。
deepagents-todolist
Using TodoListMiddleware for task planning and tracking progress with the write_todos tool in Deep Agents for complex multi-step workflows.
deepagents
LangChain Deep Agents framework for building autonomous coding agents. Use for agent harness, backends, subagents, human-in-the-loop, long-term memory, middleware, and CLI-based agent development.
DEITY
The unified AI agent for Polyprophet - combines deep analysis, precise execution, and atomic-level investigation. One agent, one skill, one mission.
describe-agent-roles
Agent responsibilities and hard boundaries. Load when determining which agent should act or checking role violations.
describe-canonical-locations
File locations for laws, style, phases, and docs. Load when locating or creating Ushabti state files.
design-agent-native
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.
dev-router
Developer agent skill router - routes to 31 dev skills by category and signal keywords, manages 5 sub-agents.
developing-agents
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
fercracix33-poli2-clean-architecture-claude-skills-agent-creator
'Purpose: Guide creation of Claude Code agents following Anthropic official
developing-plan-reviewers
Create project-specific plan reviewer agents that integrate with the planning-project-features workflow. Use when a project needs domain-specialized reviewers for sub-plans (e.g., Go code reviewer, API layer reviewer, database reviewer) or when the planner warns that no suitable local reviewer exists for a sub-plan's domain.
dexter
Autonomous financial research agent for stock analysis, financial statements, metrics, prices, SEC filings, and crypto data.
dialogue-help
Provide help with the Dialogue Framework. Triggers on "how does dialogue work", "what commands", "explain phases", "framework help", "what can you do".
document-lessons-as-snippets
When you make a mistake or discover a better approach, immediately suggest creating an Agent Beha... Use when configuring AI agent workflows and patterns. Agent Behavior category skill.
dspy-react-agent-builder
This skill should be used when the user asks to "create a ReAct agent", "build an agent with tools", "implement tool-calling agent", "use dspy.ReAct", mentions "agent with tools", "reasoning and acting", "multi-step agent", "agent optimization with GEPA", or needs to build production agents that use tools to solve complex tasks.
duet
Two-party posture — user as director, agent as executor; every fork, tradeoff, or choice surfaced via batched AskUserQuestion with a recommended default. Use when the user invokes /duet, says "ask before" / "pair with me" / "human-in-the-loop", or for aesthetic/architectural/irreversible decisions.
edi-core
Core EDI behaviors for all agents and subagents
eleven-agent-manager
Manage ElevenLabs Conversational AI agent configuration including prompts, voice settings, MCP servers, and conversation settings. Use when updating agent behavior, voice, or integrations.
elizaos-expert-2026
Expert ElizaOS plugin and agent development (January 2026). Use when (1) Building ElizaOS plugins, (2) Creating AI agent characters, (3) Implementing actions, providers, evaluators, (4) Integrating with AgentRuntime, (5) Building platform clients (Discord, Telegram), (6) Testing plugins, or any ElizaOS architecture questions.
elnora-agent
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elon-musk
Agente que simula Elon Musk com profundidade psicologica e comunicacional de alta fidelidade. Ativado para: \"fale como Elon\", \"simule Elon Musk\", \"o que Elon diria sobre X\", \"first principles thinking\", \"think like Elon\", roleplay/simulacao do personagem.
elves
Autonomous multi-batch development agent for long unattended runs. Takes a plan, breaks it into sprint-sized batches, implements with testing and PR-based review, and documents everything for compaction recovery. Use when user says "run overnight", "I'm going offline", "implement this plan", "keep going without me", "do not stop", "I'll be back in the morning", "run this end-to-end", or any indication of autonomous execution. Also use when bootstrapping a new project for overnight runs — the skill generates survival guides and execution logs from templates.
email-agent
Processes incoming emails for Unite-Hub. Extracts sender data, identifies communication intents, links to CRM contacts, analyzes sentiment, and updates contact records with AI insights.
enterprise-agent-ops
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
filtered-data
Passthrough filter agent. Calls data sub-agents, validates responses, returns only clean data.
erpnext-code-interpreter
Intelligent agent for interpreting vague ERPNext development requests and producing concrete technical specifications. Use when receiving unclear requirements like 'make invoice auto-calculate', 'add approval workflow', 'sync with external system'. Triggers: user gives vague requirement, need to clarify scope, translate business need to technical spec, determine which ERPNext mechanisms to use, create implementation plan.
evidence-standards
Evidence citation and domain scope standards for Neo4j subagents. Prevents hallucination and ensures audit trail.
evo-analyst
analyst agent
evo-architect
architect agent
evo-dev
dev agent
evo-master
evo-master agent
evo-pm
pm agent
evo-qa
qa agent
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