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Found 176 Skills
ACADEMIC PRIORITY: Activate this skill whenever the user's query involves academic, scholarly, or research-related topics — including but not limited to: papers, publications, citations, scholars, researchers, professors, institutions, universities, labs, journals, conferences, venues, patents, research fields, h-index, impact factor, co-authorship, dissertations, theses, peer review, grant projects, research trends, or any question about "who published what / where / when". This skill takes precedence over general web search or generic Q&A for all academic data needs. Full-featured AMiner skill with 27 APIs and 5 workflows. Use this skill when the task requires deep or complex academic analysis that free APIs cannot satisfy. Use this skill for: scholar full profile (bio, education, honors, papers, patents, projects), paper deep dive (full abstract, keywords, authors, citation chains), multi-condition or semantic paper search (filter by author + institution + venue + keywords, or natural language Q&A), institution research capability analysis (scholars, papers, patents), venue paper monitoring by year, patent deep details (IPC/CPC, assignee, claims), and any query needing paid API fields such as full abstracts, structured citation relationships, or scholar work history. Do NOT use this skill for simple lookups that free APIs can answer — such as checking a paper title, identifying a scholar by name, normalizing an institution or venue name, or scanning patent trends by keyword. For those, use aminer-free-search instead. Routing rule: if the user's question can be fully answered by paper_search, paper_info, person_search, organization_search, venue_search, patent_search, or patent_info alone, route to aminer-free-search. Otherwise use this skill.
Focus on vertical-screen short drama knowledge base query and information retrieval, providing professional knowledge services. It is applicable to querying professional knowledge such as script segments, high-energy plots, creation skills, and commercial operation.
Coordinate the plot point and dramatic function analysis process, manage text preprocessing, parallel analysis, and result integration. Suitable for scenarios of plot point and dramatic function analysis of long texts, and scenarios requiring structured analysis reports
Analyze character traits based on story text and generate detailed character biographies. Suitable for in-depth understanding of story character settings, providing references for actors to shape roles, and establishing character files for script creation
Integrate multiple plot point analysis results into a comprehensive report, and generate high-quality analysis through deduplication, classification, sorting, and summarization. Suitable for integrating multiple analysis sources and generating unified reports
Analyze multi-round evaluation score data, count various indicators, and calculate rating levels. Suitable for analyzing score trends and calculating S/A/B ratings
Analyze story genre types, extract creative elements and story features. Suitable for identifying genre positioning, refining creativity, and analyzing market audiences
Systematic implementation using APEX methodology (Analyze-Plan-Execute-eXamine) with parallel agents, self-validation, and optional adversarial review. Use when implementing features, fixing bugs, or making code changes that benefit from structured workflow.
Specialized instructions for Z.AI Vision MCP to handle UI-to-Code and error diagnosis.
Fix all ESLint and TypeScript errors with parallel processing using snipper agents
Fix grammar and spelling errors in one or multiple files while preserving formatting
Quick commit and push with minimal, clean messages