PancrePal - xiaoyibao | AI RAG helping Cancer Patients
Official@pancrepal-xiaoyibao · China
We look forward to extending Tech Warmth to Pancreatic Cancer patients
Agent Skills by PancrePal - xiaoyibao | AI RAG helping Cancer Patients
Showing 25 vetted skills indexed across 1 GitHub repositories.
PancrePal-xiaoyibaoloop-engineer
Design and audit multi-skill AI agent packages using OODA-based workflows.
PancrePal-xiaoyibaocode-debugger
Map function call chains and variable dependencies to analyze code context.
PancrePal-xiaoyibaopdf-reader
Extract text from local PDF files into structured Markdown format.
PancrePal-xiaoyibaonsfc-proposal-advisor
Review NSFC grant proposals for logic, compliance, and budget adherence.
PancrePal-xiaoyibaopubmed-linker
Retrieve and verify biomedical literature metadata from the PubMed database.
PancrePal-xiaoyibaoscrna-celltype-annotation
Annotate single-cell RNA-seq clusters with literature-backed evidence and R code.
PancrePal-xiaoyibaothesis-writing-mentor
Transform research papers into formal academic theses with RAG-based style mimicry.
PancrePal-xiaoyibaopaper-submission-manager
Coordinate academic paper submission workflows with checklists, file normalization, and QA tracking.
PancrePal-xiaoyibaovitaforge-orchestrator
Route biomedical research queries to specialized AI agents and orchestrate multi-stage workflows.
PancrePal-xiaoyibaocode-review
Analyze workspace changes for security issues and categorize findings by severity.
PancrePal-xiaoyibaodeep-research
Orchestrate parallel agents to collect, analyze, and synthesize multi-source research.
PancrePal-xiaoyibaosci-journal-submission-expert
Guide SCI journal submissions with pre-submission diagnostics and reviewer response management.
PancrePal-xiaoyibaodev-env-scan
Detect local development environments and generate structured JSON profiles.
PancrePal-xiaoyibaopptxgenjs
Generate PPTX presentation files programmatically with PptxGenJS.
PancrePal-xiaoyibaoediting
Automate content replacement and layout adjustment in existing PPTX presentations.
PancrePal-xiaoyibaoai4s-dry-lab
Automate end-to-end dry lab research workflows for scRNA-seq and spatial transcriptomics.
PancrePal-xiaoyibaoshidianguji-fetcher
Convert classical Chinese literature from Shidianguji into structured Markdown files.
PancrePal-xiaoyibaomedical-advisory
Synthesize clinical trial data with TCM diagnostic frameworks to generate personalized health management protocols.
PancrePal-xiaoyibaoextract
Extract research methodologies and analytical frameworks into reusable prompt templates.
PancrePal-xiaoyibaoscrna-bindlab-full-workflow
Automate end-to-end scRNA-seq analysis from raw CellRanger outputs to visualization.
PancrePal-xiaoyibaooffice-docs
Unpack, edit, and repack Microsoft Office Open XML documents.
PancrePal-xiaoyibaoai-spec
Convert natural language requirements into structured technical specifications and AI-executable coding instructions.
PancrePal-xiaoyibaocodebase-context
Index codebase dependencies, call chains, and execution flows into a knowledge graph.
PancrePal-xiaoyibaodr-midas
Analyze biomedical charts and integrate PubMed literature into scientific narratives.
Frequently Asked Questions About PancrePal - xiaoyibao | AI RAG helping Cancer Patients
FAQPage SchemaWhat specific research tasks can PancrePal perform?▼
PancrePal enables automated extraction of biomedical literature from PubMed, annotation of single-cell RNA-seq clusters, and synthesis of clinical trial data. It also supports academic writing by transforming research papers into formal theses and managing the end-to-end submission process for scientific journals.
Who is the target audience for these research capabilities?▼
The primary users are biomedical researchers, clinical scientists, and academic scholars. These individuals utilize the platform to streamline dry lab research, ensure compliance with NSFC grant requirements, and manage complex documentation for high-impact scientific publications.
What are the technical prerequisites for using these research modules?▼
Users require access to raw research data, such as CellRanger outputs for transcriptomics or local PDF files for literature review. The system functions by integrating these inputs into structured Markdown or Open XML formats, requiring standard academic research environments to execute the provided analytical frameworks.