Designing Context and Prompts for Claude Agent Skills
What to put in an agent's context and what to leave out — practical prompt and context design for Claude Agent Skills that stay sharp over long runs.
8 min read
Agentic AI & LLMs
Agentic AI & LLMs archive page 603 of 631
Agentic AI & LLMs
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Latest articles
Wiring MCP Servers Into Claude Skills the Right Way
Connect tools and MCP servers to Claude agents and skills with safe auth, clean schemas, honest error handling, and idempotency for reliable tool calls.
9 min read
Reusable Patterns for Building Claude Agent Skills
Code-level patterns for Claude Agent Skills: checkpointed procedures, deterministic cores, thin bodies, clean composition, and skill testing that scales.
8 min read
Build Your First Claude Agent Skill: A Walkthrough
Step-by-step: build a working Claude Agent Skill from an empty folder to a tested, agent-loaded capability with a bundled script and house-style rules.
8 min read
How Claude Agent Skills Work: Architecture Internals
Trace the architecture of Claude Agent Skills end to end — how skill folders are discovered, indexed, matched, loaded, and executed inside an agent.
9 min read
Getting the Most from Claude Code's Extended Thinking Mode — Claude extended thinking
Claude extended thinking: how Claude Code's extended thinking mode works, when to use it, how it improves complex reasoning, and practical tips for architecture, debugging, and refactoring tasks.
6 min read
Dialzara Alternative: Why Businesses Choose CallSphere Instead
Compare CallSphere and Dialzara for AI voice agents. See features, pricing, compliance, and which platform is better for your business.
3 min read
Function Calling vs Tool Use: What's the Difference and When to Use Each
Clarify the distinction between function calling and tool use in the context of large language models, covering terminology differences across providers, architectural patterns, implementation strategies, and guidance on when to use each approach for building AI applications.
7 min read
IBM: The Evolving Ethics and Governance of Agentic AI Systems
IBM explores who owns decisions made by AI agents and how outcomes can be audited. Essential governance framework for autonomous AI systems.
11 min read