REAL Lab
Official@zju-real · China
REAL Lab is a research team at Zhejiang University focusing on Reasoning, Embodied, Agentic and Lifelong-learning AI. △ Page: https://zju-real.github.io
Agent Skills by REAL Lab
Showing 86 vetted skills indexed across 1 GitHub repositories.
ZJU-REALhugagent-frontend-dev
Standardize React and TypeScript frontend features for HugAgentOS.
ZJU-REALhugagent-backend-dev
Standardize backend feature development across FastAPI, SQLAlchemy, and AgentScope architectures.
ZJU-REALcontract-guardian
Identify contract risks and extract essential terms from TXT, Markdown, PDF, and DOCX documents.
ZJU-REALdiagram-builder
Create architecture and process diagrams from system requirements using Mermaid syntax.
ZJU-REALfeishu-kb-search
Retrieve answers from Feishu and Lark knowledge bases with source-link citations.
ZJU-REALmeeting-minutes-organizer
Organize unstructured meeting records into structured minutes with topics, decisions, action items, owners, and deadlines.
ZJU-REALapi-doc-writer
Generate structured REST API documentation in Markdown from interface requirements.
ZJU-REALstrategic-marketing-director
Structure marketing and growth decisions into evidence-based strategies and execution plans.
ZJU-REAL活动策划
Convert business goals into structured campaign plans with metrics and ownership.
ZJU-REALbid-tender-master
Generate complete Chinese tender documents with pricing and compliance checks.
ZJU-REALdata-analysis-report-generator
Analyze Excel and CSV files and generate interactive HTML reports with ECharts.
ZJU-REALcopywriter-cn
Generate Chinese marketing copy with headline formulas and AIDA frameworks.
ZJU-REALtranslate
Translate documents while preserving formatting, placeholders, and technical terms.
ZJU-REALtech-translator
Translate Chinese technical documentation to English while preserving formatting and validating accuracy.
ZJU-REALprocesson-mindmap-generator
Convert natural language and documents into editable ProcessOn mind maps.
ZJU-REALmd2word-cn
Convert Markdown documents into Chinese Word files with FangSong fonts.
ZJU-REALcode-review
Review code changes for security, correctness, performance, and testing issues.
ZJU-REALcsv-pipeline
Process and transform CSV, TSV, JSON, and JSON Lines files into cleaned, analyzed, and reportable datasets.
ZJU-REALsop-extractor
Convert unstructured process descriptions into standardized operating procedures with validation details.
ZJU-REALcontext-memory
Organize user preferences, project background, and workflows in persistent memory files.
ZJU-REALcode-review-assistant
Analyze code changes for bugs, vulnerabilities, and missing tests across multiple languages.
ZJU-REALgovwriter-pro
Reconstruct fragmented government materials into structured official documents with GB/T 9704-2012 formatting guidance.
ZJU-REALfunnel-analyzer
Analyze conversion funnels from comma-separated step counts and report drop-off points.
ZJU-REALofficial-doc-writer
Generate formal Chinese government documents as GB/T 9704-2012 formatted Word files.
Frequently Asked Questions About REAL Lab
FAQPage SchemaWhat specific tasks can I perform with these capabilities?▼
You can perform document conversion between Markdown and Word, extract structured data from websites, manage Feishu/Lark enterprise resources, analyze financial statements for risk, and generate professional meeting minutes or government-standardized reports.
Who is the target persona for these technical resources?▼
These resources are designed for researchers, enterprise administrators, and technical operators who require programmatic control over Feishu/Lark environments, document standardization, and web-based data gathering.
What are the prerequisites for running these operations?▼
Most operations require a configured environment with access to the relevant platform credentials, such as Feishu/Lark OpenAPI tokens or specific binary dependencies like the himalaya email client or Firecrawl interface.