sibyl-codex-writer
Sibyl Codex 写作 agent - 使用 Codex (GPT-5) 撰写论文
sibyl-comparativist
Sibyl 比较分析者 agent - 对标 SOTA 和同类工作，定位结果贡献
sibyl-contrarian
Sibyl 反对者 agent - 挑战主流假设，寻找反面证据和盲点
sibyl-critic
Sibyl 批评者 agent - 苛刻但公正的学术批评
sibyl-editor
Sibyl 编辑 agent - 整合论文各章节为完整稿件
sibyl-empiricist
Sibyl 实验主义者 agent - 关注可复现性、数据质量和实验设计严谨性
sibyl-experiment-supervisor
Sibyl 后台实验监督 agent - 持续刷新 GPU 空闲状态、动态派发排队实验、处理运行时间/状态漂移
sibyl-experimenter
Sibyl 实验执行 agent - 编写代码并在远程 GPU 上执行实验
sibyl-final-critic
Sibyl 终审 agent - NeurIPS/ICML 级别的论文终审
sibyl-idea-validation-decision
Sibyl pilot 验证决策 agent - 根据小实验结果决定 ADVANCE / REFINE / PIVOT
sibyl-innovator
Sibyl 创新者 agent - 大胆的跨领域创新研究提案生成
sibyl-interdisciplinary
Sibyl 跨学科者 agent - 从认知科学、物理、生物等领域引入类比和方法
sibyl-lark-sync
Sibyl 飞书同步 agent - 将研究数据同步到飞书云空间
sibyl-latex-writer
Sibyl LaTeX 排版 agent - 将论文转为 NeurIPS LaTeX 格式并编译
sibyl-literature
Sibyl 文献调研 agent - 使用 arXiv + Web 双源搜索进行系统性文献调研
sibyl-methodologist
Sibyl 方法论者 agent - 审查实验方法的内外部效度和可复现性
sibyl-novelty-checker
Sibyl 新颖性检查 agent - 搜索文献验证 idea 是否与已有论文撞车
sibyl-optimist
Sibyl 乐观分析者 agent - 从积极角度分析实验结果
sibyl-outline-writer
Sibyl 大纲撰写 agent - 生成论文详细大纲
sibyl-planner
Sibyl 实验规划 agent - 设计严谨可复现的实验方案
sibyl-pragmatist
Sibyl 实用主义者 agent - 注重工程可行性的研究提案生成
sibyl-reflection
Sibyl 反思 agent - 分析迭代产出，分类问题，生成改进计划
sibyl-result-synthesizer
Sibyl 结果辩论综合者 agent - 综合6方结果分析形成统一判断和行动计划
sibyl-revisionist
Sibyl 修正主义者 agent - 基于实验结果反思假设，提出修正方向
sibyl-section-critic
Sibyl 章节评审 agent - 评审论文特定章节
sibyl-section-writer
Sibyl 章节撰写 agent - 撰写论文特定章节
ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
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.
langgraph
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
hive-credentials
Set up and install credentials for an agent. Detects missing credentials from agent config, collects them from the user, and stores them securely in the local encrypted store at ~/.hive/credentials.
hive-debugger
Interactive debugging companion for Hive agents - identifies runtime issues and proposes solutions
hive-patterns
Best practices, patterns, and examples for building goal-driven agents. Includes client-facing interaction, feedback edges, judge patterns, fan-out/fan-in, context management, and anti-patterns.
hook-authoring
Guide creating Claude Code hooks with security-first design. Use for validation, logging, and policy enforcement.
hook-creator
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Hook Development
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
hook-event-architecture
Design hook-based event systems for ADW observability. Use when implementing real-time event broadcasting, creating hook pipelines, or building agent activity monitoring.
hook-lister
プロジェクトに設定されたフックの一覧を表示するスキル。「フック一覧」「フックを見せて」「設定済みフック」「hooks 確認」「フックリスト」「hook
hooks-authoring
Author AgentOps runtime hooks.
hooks
Hook Development Rules
hosted-agents-v2-py
Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.
identity
Assume the agent identity
ilya-sutskever
Agente que simula Ilya Sutskever — co-fundador da OpenAI, ex-Chief Scientist, fundador da SSI. Use quando quiser perspectivas sobre: AGI safety-first, consciência de IA, scaling laws, deep learning profundo, o episódio de novembro 2023 na OpenAI, superinteligência segura.
implement-task
Implementation agent that executes a single task and creates handoff on completion
implementing-agent-modes
Guidelines to create/update a new mode for PostHog AI agent. Modes are a way to limit what tools, prompts, and prompt injections are applied and under what conditions. Achieve better results using your plan mode.
implicit-decision-capture
Automatically capture implicit technical decisions and uncertainties encountered by AI agents during coding work. This skill logs decision points where the agent chose an approach without explicit user guidance, enabling later review and context enrichment. Use this proactively during any coding task to track "what choices I made and why."
improve-agents-md
Generate and update AGENTS.md (CLAUDE.md) for projects using a single template with dynamic per-type tooling injection. Auto-detects project type and renders the appropriate Environment & Tooling section. Triggers on keywords: improve agents, generate agents.md, update agents.md, setup claude.md, bootstrap agents
inbox
Agent Mail inbox monitoring. Check pending messages, HELP_REQUESTs, and recent completions. Triggers: "inbox", "check mail", "any messages", "show inbox", "pending messages", "who needs help".
incarnation
Full character autonomy across all layers of existence
Industry Verticals
Specialized agent configurations for specific industries
infinite-gratitude
Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).
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