2074 related articles

GitHub Trending July 31: reverse-skill AI security skill pack surges 612 stars/day, plus open-source customer service, minimalist project management, and ESP32 hardware hacking tools.

Deep dive into Agent skill routing: comparing pure model vs. pure retrieval approaches, with a detailed two-stage layered architecture balancing accuracy, latency, and cost.
Building AI Engineering Skills from Sc…
A deep dive into 'ai-engineering-from-scratch,' the GitHub project with 38K+ stars that helps developers build real AI engineering skills through a Learn-Build-Ship methodology.

A technical deep-dive into AI-assisted reverse engineering: how MCP, Skills libraries, and Frida toolchains work together, their real capability limits, and the legal boundaries of iOS/Android/Web reverse analysis.
Deep Dive into AI Agent Skill Design: …
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.

Google engineer Addy Osmani's open-source project agent-skills (76k+ GitHub stars) injects production-grade engineering skills into AI coding agents, covering performance, security, and code quality.
Skill Engineering: Why AI Design Can't…
Paul Bakaus debunks the one-shot AI myth. Learn how Skill Engineering and loopmaxxing reshape human-AI collaboration for better design outcomes.

Harness Engineering is becoming a must-have skill for AI agent developer roles. Learn the architecture, how top agent products use it, and how to practice with LangChain DeepAgents.

Deep dive into how Skill and MCP work together in Agent engineering. Skill handles business logic; MCP provides standardized connections. Together they form the core of modern Agent architecture.

Deep dive into how Skill and MCP collaborate in Agent engineering. Skills handle business logic loops while MCP provides standardized connectivity, forming the core of modern four-layer Agent architecture.
TutorialsHow Hooks+Skills+Commands+Agents work together in Claude Code to boost AI skill activation from 25% to 90%, with core config files and deployment guide.
TutorialsDeep dive into Harness AI Engineering Programming: a Rules + Skills + Wiki + Changes four-layer system with Claude Code for automated, controllable enterprise development.
TutorialsDeep dive into Matt Pocock's 5 daily Claude Code Skills: Grill Me for requirements, PRD generation, task decomposition, TDD, and code architecture optimization.
TutorialsDeep dive into AI Skills mechanism: how on-demand capability loading works, Skills vs MCP differences, and practical configuration for PDF parsing with reduced Token consumption.
TutorialsKarpathy Skills is a lightweight behavioral guideline that uses four principles—think first, simplicity, surgical changes, goal-driven—to fix AI coding assistant over-engineering issues.
TutorialsDeep dive into OpenAI Codex's three core capabilities: prompt engineering for better code generation, agent skills for autonomous programming, and cloud automation for end-to-end CI/CD pipelines.
TutorialsDeep dive into OpenClaw's Skill mechanism for AI Agent development, covering Function Calling, RAG, production deployment, and resume-worthy project design.
ResearchAlibaba Mama's Skills-Oriented Programming methodology uses three-layer Skill structures, progressive disclosure, and four-layer anti-corruption systems to achieve 90%+ code generation accuracy for Code Agents in complex enterprise codebases.
TutorialsDeep dive into the 15K-star GitHub project Agent-Skills-for-Context-Engineering, covering context engineering fundamentals, multi-agent architecture patterns, and production-grade Agent system best practices.

GitHub trending Aug 1: ByteDance's deer-flow SuperAgent, Microsoft's GenAI course, 3D generation, voice cloning, and privacy-first tools shape the AI landscape.