Use with options() to override client settings for a single call without mutating the client:. Use it as a repeatable review, validation or hardening pass.

This skill helps you build LLM-powered applications with Claude. Choose the right surface based on your needs, detect the project language, then read the relevant language-specific documentation. Use it to make implementation decisions and avoid common dead ends.

A compilation of language agents using the Cognitive Architectures for Language Agents (🐨CoALA) framework. - CoALA Paper (16 pages of main content): https://arxiv.org/abs/2309.02427 - CoALA Tweet (6 threads): https://twitter.com/ShunyuYao12/status/1699396834983362690 - CoALA. Use it to navigate the topic and choose relevant methods, papers or tools.

A practical guide to Claude Code — from your first prompt to multi-agent automation, hooks, MCP, and team workflows. Built around clear mental models and real examples, not marketing. Use it as a repeatable review, validation or hardening pass.

At the core of every agent is a neural network -- a Transformer, an RNN, a trained function -- shaped by billions of gradient updates on sequences of perception, reasoning, and action. Agency was never bestowed by the surrounding code. It was learned during training. Use it to ground design choices in named patterns, trade-offs and examples.

Pick a template, see what it does, get a Dockerfile + docker-compose + bot + README you can run anywhere. Use it as a repeatable review, validation or hardening pass.

Pattern Control - Define your patterns once, AI uses them forever ✋ Approval Gates - Review and approve before execution 🔁 Repeatable Results - Same patterns = Same quality code 📝 Editable Agents - Full control over AI behavior 👥 Team-Ready - Everyone uses t. Use it to build a structured path from fundamentals to hands-on practice.

The most comprehensive list of AI agents, frameworks, and tools in 2026. 340+ resources across 20+ categories. Updated monthly. Use it to navigate the topic and choose relevant methods, papers or tools.

Indexes any codebase into a knowledge graph — every dependency, call chain, cluster, and execution flow — then exposes it through smart MCP tools so AI agents never miss code. Use it to ground design choices in named patterns, trade-offs and examples.

A curated reference on agent design & orchestration centered on AgentBench. Use it to navigate the topic and choose relevant methods, papers or tools.

This repository uses a Core/Library split to ensure efficiency and high-signal discovery for LLMs:. Use it to build a structured path from fundamentals to hands-on practice.