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Find your next superpower If you are an agent, refer to our llms.txt for full access.Structured roundtable discussion framework with a truth-seeking moderator who invites representative figures for dialectical debate on any topic. Use when user says "圆桌讨论", "圆桌", "roundtable", "辩论", or wants to explore a topic through multi-perspective structured debate.
Frames a topic and develops successive debate rounds, each with an ASCII structure diagram. Lets the user control pacing, deepen a section, or introduce participants, then saves the full discussion as an Org note.
Provides a tool for sustained depth analysis of statements, observations, and questions. Follows their underlying explanations toward essential roots rather than surveying a broad range of perspectives.
Explores an individual English word in depth. Breaks down its core semantics to support understanding and mastery.
Expands or rewrites a viewpoint into an understandable Chinese article that transfers across contexts and withstands counterexamples. Focuses on developing ideas and logical progression rather than routine summaries or factual lookup.
Extracts content from unstructured files. Supported examples include PDF, PPTX, and DOCX documents.
Covers patterns for building production LLM applications, including RAG pipelines, agent architectures, and prompt IDEs. Includes LLMOps monitoring and observability.
Test Large Language Models for direct prompt injection vulnerabilities where user input overrides system instructions, extracts system prompts, bypasses safety filters, or causes unauthorized actions. Use this skill when assessing chatbots, AI assistants, LLM-powered tools, or any application that processes natural language input through an LLM. Covers role-playing attacks, instruction hierarchy e…
Covers evaluation strategies for LLM application performance and quality. Supports automated metrics, human feedback, benchmarking, and establishment of evaluation frameworks.
Test for indirect prompt injection vulnerabilities where malicious instructions are injected through external data sources (websites, emails, documents, database records) that the LLM processes. Use this skill when assessing LLM-integrated applications that process user-generated content, retrieve web pages, parse emails, or read documents. Covers injection via web content, email bodies, user prof…
Execute advanced LLM Jailbreaking techniques using roleplay, nested environments (virtual machines), and complex personas to completely bypass safety constraints and ethical alignments embedded in AI models.
Systematically bypass LLM safety filters and content moderation systems using advanced jailbreaking techniques. Use this skill when testing AI systems for safety alignment robustness, evaluating content moderation effectiveness, or conducting authorized AI red team assessments. Covers role-play attacks, few-shot manipulation, encoding bypass, multi-modal exploitation, and automated jailbreak disco…
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