3. Data, Science & AI

Automates file cleanup by normalizing filenames and consolidating semantic duplicates using AI.

Detects AI agent reasoning loops and unproductive states by analyzing tool usage patterns and sentiment data.

Enables local querying of Chinese stock data from a DuckDB cache, avoiding direct Tushare API calls for faster access.

Analyzes student git activity, lab submissions, and project work for software engineering courses, handling data inconsistencies and providing insights.

Analyzes multi-round evaluation scoring data to compute metrics and assign rating grades (S/A/B), enabling trend analysis and performance assessment.

Intelligently truncates long text while preserving semantic coherence and content integrity, ideal for text preprocessing with length constraints.

Analyzes multi-round evaluation scoring data, summarizes key metrics, and calculates rating levels (S/A/B) for trend analysis.

Splits long text into semantically coherent chunks of specified size for efficient batch processing in AI data pipelines and NLP applications.

Provides domain-specific knowledge base queries for vertical short drama, covering script segments, plot techniques, and commercial operations.

Analyzes user-uploaded file references to extract key information and provide application recommendations, focusing on vertical short drama planning contexts.

Intelligently truncates long text while maintaining semantic coherence, ideal for text preprocessing to meet length constraints.

Splits text into semantically coherent chunks of specified size for efficient data processing in AI and NLP applications.

Provides multi-dimensional evaluation of story text, scoring for market potential, innovation, and content highlights to aid in novel screening and assessment.

Transforms agent outputs into structured reports across multiple formats for clear analysis presentation.

Intelligently truncates novel text while preserving content integrity to meet length constraints for preprocessing.

Smartly truncates novel text while preserving content integrity within user-defined length limits.

Analyzes user-uploaded file references to extract key information and provide application suggestions, including parsing @-mentions and natural language references.

Builds Model Context Protocol (MCP) servers to integrate custom tools and data sources with GitHub Copilot and AI agents, enhancing their functionality.

Optimizes PostgreSQL performance through query tuning, indexing, and pgvector for AI/ML workloads, using EXPLAIN plans and database design.

Generates sub-agents for skill groups, including parallel processing and specialized agent configurations.

Designs Glide data models including table structures, column types, and calculation logic for effective data organization and management.

Adds AI capabilities to Glide apps including text generation, OCR, and audio transcription via AI columns.

Creates dynamic computed columns in Glide using math, conditional logic, relations, rollups, and lookups for data manipulation and table linking.

Executes Google's Gemini CLI for AI-driven code analysis and generation, enabling complex reasoning tasks in software development.