context-fundamentals
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
128 skills found
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
A versatile data analysis assistant for loading datasets, performing statistical calculations, visualizing trends, and generating professional summary reports.
Plan mode on steroids. Push engineers to think with a product mindset before building with structured intake and concrete technical options.
Bayesian modeling and probabilistic programming with PyMC. Build hierarchical models, perform MCMC sampling (NUTS), variational inference, and conduct rigorous model comparison using LOO and WAIC.
Generate professional tarot and astrology content for social media, including 12-sign weekly horoscopes, tarot spread scripts, event-driven video scripts, and custom cover art.
Expert SQL agent for modern database systems, query optimization, HTAP environments, and data architecture patterns. Optimize performance, schema design, and analytical workloads effectively.
Create, manage, and debug dlt (data load tool) pipelines for ingesting data from APIs, databases, and custom sources into destinations like DuckDB, BigQuery, and Snowflake.
Write high-quality user stories and requirement documents following the INVEST criteria.
An AI-powered sales assistant that transforms business scenarios into optimized prompts, automatically generating high-quality emails, proposals, and analysis reports without requiring prompt engineering skills.
Automate the creation and maintenance of BrowserOS feature documentation using a structured, codebase-aware workflow to generate concise Mintlify MDX pages.
Generate triage reports and analyze feature area health for the Windows App SDK repository. Identify high-priority issues, triage backlogs, and team focus areas.
Orchestrates multi-agent development workflows, managing task decomposition, requirement analysis, and quality assurance for complex software projects.