clade-model-inference
Stream Claude responses, use system prompts, handle multi-turn conversations, Use when working with model-inference patterns. and process structured output with the Messages API. Trigger with "anthropic streaming", "claude messages api", "claude inference", "stream claude response". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clade-model-inference --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Anthropic Messages API — Streaming & Advanced Patterns ## Overview The Messages API is the only inference endpoint. Every Claude interaction goes through `client.messages.create()`. This skill covers streaming, system prompts, vision, and structured output. ## Prerequisites - Completed `clade-install-auth` - Familiarity with `clade-hello-world` ## Instructions ### Step 1: Streaming Responses ```
What does the clade-model-inference skill do?
Stream Claude responses, use system prompts, handle multi-turn conversations, Use when working with model-inference patterns. and process structured output with the Messages API. Trigger with "anthropic streaming", "claude messages api", "claude inference", "stream claude response". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clade-model-inference --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.