Wiring tools and MCP servers into Agent Skills safely
Connect tools and MCP servers to Claude Agent Skills: auth, JSON schemas, error handling, and idempotency — and test each path with skill-creator.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Connect tools and MCP servers to Claude Agent Skills: auth, JSON schemas, error handling, and idempotency — and test each path with skill-creator.
Code-level patterns for Agent Skills: description-as-router, progressive disclosure, deterministic scripts, and gradeable instructions tested with skill-creator.
A concrete walkthrough: scaffold, build an eval set, run it with samples, read trigger vs quality scores, and refine a Claude Agent Skill with skill-creator.
How skill-creator works inside: discovery, the eval harness, trigger vs execution scoring, variance analysis, and the refine loop for Claude Agent Skills.
Comparing Google's Agent-to-Agent (A2A) protocol with Anthropic's Model Context Protocol (MCP), explaining how each approach solves agent interoperability differently.
The Anthropic-Pentagon confrontation has ignited a fundamental debate about whether AI companies should have the right to restrict how their technology is used by governments.
Claude surges to the top of Apple's US App Store following the Pentagon dispute, with daily signups breaking all-time records and paid subscribers doubling.
How to build production-grade data pipelines that use LLMs to extract structured data from unstructured sources with validation, error handling, and quality monitoring.
Turing benchmarks 6 AI agent frameworks across 2000 test runs measuring latency, token efficiency, and task completion rates for production use.
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