3. Data, Science & AI

Analyzes HSES protocol packet captures to generate markdown reports for debugging communication issues and identifying protocol errors.

Analyzes and debugs weight calculations in the Dynamic Prime Directive (DPD) system, tracking empathy, coherence, and dissonance metrics over time.

Generates structured repository snapshots in markdown format for efficient context ingestion by large language models (LLMs).

Comprehensive guide for setting up, configuring, and troubleshooting SLIME, an LLM post-training framework for reinforcement learning training of language models.

Optimizes agent tool design by balancing functionality and complexity to enhance AI agent performance and usability.

Analyzes Polymarket trader performance to identify profitable patterns and track metrics for copy trading features and trader discovery.

Generates images from text prompts using Google Gemini, serving as an AI-powered image backend for other skills. Supports both image and text generation.

Configures local data caching accelerators for Spice using Arrow, DuckDB, SQLite, and PostgreSQL to optimize data access and performance.

Enables AI-powered features in Directus CMS, including chat interfaces, content generation, and smart suggestions.

Builds and refreshes evaluation datasets, runs routing evaluations, and analyzes agent response quality for AI agents.

Displays database question counts in a table, categorized by type and difficulty for data-driven analysis.

Guides on Effect AI integration, LLM service usage, building AI agents, and structured AI output for developers.

Converts skill descriptions into agent-specific formats for seamless integration with AI agents.

Guides implementation of Vercel AI SDK v6 for building AI chat interfaces, agentic applications, and tool calling with streaming responses and structured outputs.

Configures embedding models for vector search in Spice, supporting OpenAI, HuggingFace, and local models for semantic search implementation.

Generates cryptocurrency trading strategies using Binance market data, technical analysis indicators, and sentiment from crypto news feeds.

Assists in building and troubleshooting AI agents with Microsoft's unified Agent Framework, including memory, context, and error resolution.

Provides guidance for mapping Vapi voice event data to dashboard templates for real-time visualization and monitoring.

Connects Spice to databases, cloud storage, and data platforms like PostgreSQL, S3, and Snowflake for seamless data ingestion.

Zod v4 schema validation for TypeScript, enabling data parsing, inference, and transformation.

Analyzes App Store reviews for sentiment, themes, and feature requests, generates developer responses, and provides competitive intelligence for iOS/macOS apps.

Creates a new AI agent with Olakai monitoring from scratch, including observability setup, KPI tracking, and governance for AI systems.

Provides standardized database patterns, migrations, and RLS policies for Supabase schema management and SQL operations.

Configures and troubleshoots AI agents for GitHub Copilot, including defining capabilities, tools, and system prompts.