Send conversational messages to Claude and receive structured block-based responses.
npx skills add https://github.com/theslashdojo/dojo --skill messages-theslashdojo
Please help me install this Agent Skill. Skill: messages Source: https://github.com/theslashdojo/dojo/tree/main/nodes/anthropic/messages Command: npx skills add https://github.com/theslashdojo/dojo --skill messages-theslashdojo
This Skill provides a standardized way to send conversational turns to Claude and receive structured, block-based responses so applications can power chat, completion, analysis, and multimodal workflows without bespoke request plumbing.
Send a chat message to Claude asking "Hello, Claude" using model claude-sonnet-4-6 with max_tokens 1024 and read the assistant text from the returned content block.
High-intent search queries and answers about installing and using this skill.
To send conversational messages to Claude and get structured responses, use the Anthropic Messages API to submit multi-turn conversations with defined roles, content blocks, and optional system prompts for block-based assistant replies.
Yes, you can stream Claude chat responses token by token for real-time UIs using Server-Sent Events (SSE). This allows applications to display text incrementally as the model generates the output.
To enforce structured JSON output with the Anthropic Messages API, define JSON output schemas and tool definitions in your request. The API returns content blocks that validate against your specified schema for downstream processing.
Yes, the Claude Messages API supports vision-enabled prompts and image analysis. You can include images and documents alongside text in the content blocks array to perform multimodal document analysis.
When sending chat messages to Claude via the API, the response returns content blocks, stop_reason indicators, and token usage metadata. This provides detailed integration context for managing conversation budgets.
Yes, you need the anthropic package to manage multi-turn chatbot dialogues with tool use. It provides the necessary client methods to send message arrays, handle mid-conversation tool calls, and process assistant responses.
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