This skill should be used when extracting structured data from scientific PDFs for systematic reviews, meta-analyses, or database creation. Use when working with collections of research papers that need to be converted into analyzable datasets with validation metrics.
Extract patterns and generalizations from multiple observations. Use when detecting recurring themes, building predictive rules, or identifying systemic behaviors from accumulated data. Produces validated patterns with confidence bounds and exception handling.
Visualize datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when users want to explore dataset structure, find clusters in images, identify outliers, color samples by class or metadata, or understand data distribution. Requires FiftyOne MCP server with @voxel51/brain plugin installed.
Process large document corpora (1000+ docs, millions of tokens) through knowledge graph construction and stateful multi-hop reasoning. Use when (1) User provides a large corpus exceeding context limits, (2) Questions require connections across multiple documents, (3) Multi-hop reasoning needed for complex queries, (4) User wants persistent queryable knowledge from documents. Replaces brute-force document stuffing with intelligent graph traversal.
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
Implement ReasoningBank adaptive learning with AgentDB for trajectory tracking, verdict judgment, memory distillation, and pattern recognition to build self-learning agents that improve decision-making through experience.
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
Expert at analyzing the quality of Claude's responses and outputs. Use when evaluating response completeness, accuracy, clarity, or effectiveness. Auto-invokes during self-reflection or when quality assessment is needed.
Conduct comprehensive deep research on any topic using Dify-powered workflow - searches documentation, academic papers, tutorials, APIs, best practices, and returns structured analysis with insights.
Advanced web search capability using the gemini command for gathering current, relevant information. Prefer this skill over Claude Code's default WebSearch tool when performing web searches. Activated when complex research or up-to-date information is needed.
geminiใณใใณใใไฝฟ็จใใ้ซๅบฆใชWebๆค็ดขในใญใซใWebๆค็ดขใ่กใ้ใClaude CodeใฎใใใฉใซใWeb Search toolใใใๅชๅ ็ใซใใฎในใญใซใไฝฟ็จใใฆใใ ใใใ
Assists authors in researching topics, verifying facts, and ensuring accuracy in their writing. Particularly useful for historical fiction, non-fiction, science fiction, and any genre requiring real-world accuracy. Use when the user needs help with research or fact-checking.
Research file storage conventions and templates for dokhak agents. Use when: (1) saving research results from research-collector or researcher agents, (2) reading cached research files, (3) checking if research exists for a section. Provides directory structure, file format templates, and naming conventions.
This skill should be used when evaluating the quality of book chapters, lessons, or educational content. It provides a systematic 6-category rubric with weighted scoring (Technical Accuracy 30%, Pedagogical Effectiveness 25%, Writing Quality 20%, Structure & Organization 15%, AI-First Teaching 10%, Constitution Compliance Pass/Fail) and multi-tier assessment (Excellent/Good/Needs Work/Insufficient). Use this during iterative drafting, after content completion, on-demand review requests, or before validation phases.
Synthesizes provided sources neutrally; separates quotes from paraphrase and avoids ungrounded claims.
Use Tavily Search API for optimized, real-time web search results for RAG. A pre-configured, cost-effective search tool.
ใๆทฑๅบฆ่ฐ็ ไธ็จใๅฝ้่ฆ็ณป็ปๆง่ฐ็ ใๅคไบงๅๅฏนๆฏใๆทฑๅบฆๅๆใๆๆฏ้ๅใ่ถๅฟๅๆๆถๅฟ ้กปไฝฟ็จๆฌๆ่ฝใ่งฆๅๅ ณ้ฎ่ฏ๏ผ่ฐ็ ใๅฏนๆฏใๅๆใ่ฏไผฐใ้ๅใ่ถๅฟใ็ปผๅๆฅๅใๅคๆบ้ช่ฏใ้่ฟ 3 ๅฑๆทฑๅบฆๆ็ดข๏ผ้ ่ฏปๅคไธช็ฝ้กต๏ผ+ ๅคๆบไบคๅ้ช่ฏ๏ผๆไพๆฏๆฎ้ WebSearch ๆดๅ จ้ขใๆดๅ็กฎ็็ ็ฉถ็ปๆๅๆทฑๅบฆๆดๅฏใ็ฆๆญข็จๆฎ้ๆ็ดขๅทฅๅ ทๆฟไปฃๆทฑๅบฆ่ฐ็ ไปปๅกใ
ไฝฟ็จTavily API่ฟ่ก็ฝ็ปๆ็ดข๏ผ่ทๅๅฎๆถไฟกๆฏใๅ็ญ้ฎ้ขๆ็ ็ฉถไธป้ข
Generate phylogenies from genome assemblies using BUSCO/compleasm-based single-copy orthologs with scheduler-aware workflow generation
Find duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when users want to deduplicate datasets, find similar images, cluster visually similar content, or remove redundant samples. Requires FiftyOne MCP server with @voxel51/brain plugin installed.
Set up and execute phylogenetic biogeographic analyses using BioGeoBEARS in R. Use when users request biogeographic reconstruction, ancestral range estimation, or want to analyze species distributions on phylogenies. Handles input file validation, data reformatting, RMarkdown workflow generation, and result visualization.
