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.
501 skills found
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Create professional data visualizations with Python using matplotlib, seaborn, and plotly. Includes chart selection guidance, design principles, accessibility standards, and code patterns for publication-quality figures.
Manage, sync, and transfer files between local storage and cloud providers like S3, Cloudflare R2, Backblaze B2, Google Drive, and Dropbox using rclone.
A CLI tool that automates the discovery and symlinking of agent skills distributed via npm packages, simplifying integration for AI-powered coding agents.
Generate structured, machine-readable notes for papers in a core research set to enable reliable synthesis and evidence-backed writing.
Manage dlt data pipelines and Temporal workflows for the SignalRoom marketing platform. Sync sources like Everflow, Redtrack, and S3 to Postgres, check status, and debug ingestion.
Initiates automated reverse engineering by discovering codebase architecture, layers, and technology stacks to facilitate system modernization or documentation.
A microworld operating system for LLM-based agent living memory, transforming filesystems into navigable rooms and code into habitable worlds.
Persistent, semantic long-term memory for AI agents. Save, query, and retrieve cross-session dialogues, decisions, and multimodal context using semantic compression.
Intelligent research agent that automatically routes queries between fast web search, deep multi-source synthesis, and academic database lookups.
Universal CLI tool to convert and synchronize AI agent skills between Claude Code and Gemini CLI extensions.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.