Discover available skills and combine one to three of them into a single creative piece. Use it for an unexpected presentation, visual artifact, or interactive web experience, drawing on known interests or seasonal themes.
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Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".
安装前可以查看交给 AI 代理的指令内容。
Deliver an unexpected, delightful experience by dynamically discovering available skills and combining them creatively.
Read all the skills listed in the <available_skills>.
Select 1 to 3 skills and design a creative mashup. The goal is a single cohesive deliverable, not separate demos.
Creative combination principles:
Theme ideas (pick or remix):
If no other skills are discovered (only surprise-me exists), use one of these fallbacks:
Present the surprise with minimal spoilers. A short teaser line, then the artifact.
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Turn academic papers into structured reviews that explain findings, strengths, weaknesses, and research methods. Assess originality and supporting evidence, compare relevant literature, and provide specific improvement suggestions in a detailed review or brief summary.
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Find Python input/output calls that may stall asynchronous backend work, then fix or guard each relevant path with runtime tests. Verify that tests fail when blocking behavior returns and pass after the fix is restored.
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Create or update a SOUL.md file that defines an AI partner’s behavior through a guided conversation. Clarify communication style, autonomy, honesty, and expectations, then review a concise English profile before saving it with setup_agent.
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Turn data into chart images by selecting a suitable format from 26 options. Visualize trends, comparisons, distributions, flows, or relationships, then receive the image URL and the complete settings used to generate it.
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Send research and analysis tasks to a running DeerFlow instance through its HTTP API, an interface for exchanging requests. Retrieve responses, continue conversations, upload documents, and inspect available models, skills, agents, and service health.
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Turn source code into project documentation, from a README with installation steps and examples to API references, architecture diagrams, developer guides, and changelogs. Match the scope and comment format to the project's size and programming language.
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