3. Data, Science & AI

Guide for implementing autonomous loop patterns using OpenCode AI agents to enable self-sustaining AI workflows and agent coordination.

Provides ASR and TTS capabilities using Qwen models for transcription and voice generation, supporting Telegram audio formats.

Crawls Dart/Flutter official documentation sites and stores content as Markdown files for data collection purposes.

Optimizes AI memory retrieval by learning and prioritizing useful memories using Q-value augmented vector retrieval techniques.

Enables AI agents to store and retrieve learned patterns, performance metrics, and self-assessments in ChromaDB collections for continuous improvement without altering static configurations.

Supports GFRP structural design calculations per ASCE/SEI 74-23, including environmental factors, material properties, and connection analysis.

Accesses 75 Korean Building Standards (KDS) documents, performs structural calculations, and supports design workflows for seismic, concrete, and steel structures.

Performs ACI 318-25 concrete structure design calculations, supporting reinforced concrete, prestressed concrete, and seismic design workflows.

Enables AI models to systematically evaluate multiple reasoning paths, score outcomes, and prune low-confidence branches for optimal solution discovery.

Conducts rigorous data analysis with hypothesis validation, year-over-year comparisons, and full audit trail for transparent insights.

Optimizes AI model memory through periodic consolidation, conflict resolution, decay application, and cross-context knowledge transfer to improve retention and performance.

Meta-orchestrator analyzing problem dimensions to select optimal reasoning patterns (e.g., Tree of Thoughts) for AI problem-solving.

Manages database schema migrations and changes using Prisma ORM.

Provides AISC steel design standard lookup, structural calculations, and workflow support based on 360-22 Specification and Design Examples v16.0.

Provides AISC Design Guide 31-based structural calculations and design workflows for castellated and cellular beams.

Performs statistical analysis on experimental data and generates standard visualizations for data interpretation.

Orchestrates complex multi-agent workflows by analyzing system complexity, recommending optimal coordination patterns, and executing agent interactions.

Enables AI to self-analyze interactions and store reusable patterns ('instincts') to enhance future performance and adaptability.

Uses sub-agents for parallel research and interviews with AI to facilitate strategic planning decisions and analysis.

Provides database design patterns, query optimization techniques, and performance tuning for PostgreSQL and data modeling best practices.

Optimizes AI chat features in MindCoach through CBT-based prompt engineering and behavior debugging for enhanced user interaction.

High-performance web crawler for extracting and structuring web content, optimized for LLM/RAG pipelines with stealth and multi-format export.

Translates Cantonese input to standard Chinese or English for seamless LLM processing and comprehension.

Predicts 5 sets of lottery numbers for China Welfare Lottery Double Color Ball using historical data analysis and statistical modeling.