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Tag: ai-agents

213 posts · Page 1 of 22

What Is an Agent Skill, and How Is It Different from a System Prompt?
An agent skill is a folder with a SKILL.md file that the agent loads on demand: only its name and description sit in the system prompt, the instructions arrive when a task matches, and bundled scripts run without ever entering context. Here is how that differs from a system prompt in cost, scope, invocation and trust, with the exact limits from the Agent Skills spec and Claude Code.
2026-09-28 llmai-agentsmcp
How to Measure an Agent's Fixed Token Overhead Before the First User Token
Every agent request pays for its system prompt, the provider's hidden tool-use preamble, and every tool schema before the user says anything. How to measure that fixed cost with differential count_tokens calls on the Anthropic API, the input_tokens endpoint on OpenAI, an MCP listTools probe, and /context in Claude Code, anchored to claude-opus-5-5, claude-sonnet-5, and @modelcontextprotocol/client 2.1.0.
Migrate a Cursor Cloud Agent Workflow off GitHub to Cursor Origin (Early Beta, September 2026)
Move a repo, its Cursor cloud agents, automations, Bugbot, and CI from GitHub to Cursor Origin without a flag day: mirror first, rewire agents and CI while GitHub is still the source of truth, then cut over with Detach from GitHub or the reversible inbound_to_outbound mirror transition. Covers what breaks, the Origin CLI and API calls, a ref-parity check, and the rollback path.
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