Agent Skill Index
Section: Context Engineering · Compression strategies for long-running sessions
Entry
Appears in 4 awesome lists
comprehensive, MIT-licensed collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems — context fundamentals/degradation/compression, memory systems, tool design, harness engineering, self-improvement loops; cited in academic research as…
Section: Context Engineering · Compression strategies for long-running sessions
Section: Context Engineering · comprehensive, MIT-licensed collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems — context fundamentals/degradation/compression, memory systems, tool design, harness engineering, self-improvement loops; cited in academic research as…
Section: Other · A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
Section: Context Engineering · Understand what context is, why it matters, and the anatomy of context in agent systems
The definitive curated list of machine learning frameworks, libraries and software organized by language. Covers Python, C++, Java, JavaScript, and more with comprehensive coverage of the ML ecosystem. CC0-1.0 licensed.
books: Freely available programming books
Curated list of artificial intelligence courses, books, video lectures, and papers for developers and researchers. MIT licensed.
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
🟪 - Another awesome list for mathematics, useful generally but often applicable to programming.
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).