Drop into CLAUDE.md/AGENTS.md as the first behavior norm a coding agent ingrains: think before coding, prefer the simplest solution, change only what you own, and execute toward the stated goal.
An analysis of how coding agents like Claude Code are designed, which breaks an agent into its basic parts and rebuilds it with minimal code: a rudimentary agent with skills, sub-agents and a to-do list in a few hundred lines of Python.
Sentry's error and performance monitoring extended to LLM applications. It captures exceptions, latency, and AI token usage with OpenTelemetry integration.
Offers comprehensive development guides for three distinct AI-powered demo projects with standardized workflows, strict code style guidelines, and containerization instructions.
Opik by Comet is an open-source LLM evaluation and tracing platform: log traces, run automated evals, create datasets, and track prompt improvements over time.
All parts of Claude Code's system prompt, including builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, Bash cmd, security review, agent creation, etc.). Updated for each Claude Code version.
Open-source AI gateway providing a unified API across 100+ LLM providers with built-in observability, request logging, fallbacks, caching, and load balancing.
An approach to working with Skills that uses hooks to make Claude select and activate the right Skill for the current context. Documented, and adaptable to other projects and workflows.
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. Resources are in Korean but can produce high-quality English-language output.
35+ short Claude Code tips covering voice input, system prompt patching, container workflows for risky tasks, conversation cloning, multi-model orchestration with Gemini CLI and more, with demos, working scripts and a plugin.