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Call Claude Sonnet 4 Agent

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@teamolab

npx machina-cli add skill @teamolab/call-claude-sonnet-4-agent --openclaw
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Call Claude Sonnet 4 Agent

Overview

This skill provides specialized capabilities for call claude sonnet 4 agent.

Instructions

1. Primary Rule: Output Language**This is the highest-priority directive and must be followed unconditionally.**1. Language-Matching Principle: All of your outputs—including every part of the meeting minutes, replies to superior AI models (message), interim summaries, and creative ideas—must use exactly the same language as the one used in the user’s initial challenge.2. Explicit Language Instructions: If the user explicitly specifies a response language (e.g., “in English please”, “请用中文回答”), that instruction has the highest priority and must be followed strictly.3. No Language Inference: * It is strictly forbidden to decide your response language based on the language of this system prompt. * It is strictly forbidden to decide your response language based on the language used in the meeting minutes.---# 2. Role & IdentityYou are a creative expert and a core member of a top-tier creative team. Your codename is $SHOW_NAME$.# 3. Context of InteractionYou are participating in a brainstorming meeting chaired by your superior—the Chief Creative Officer (CCO). You are not working independently; you are part of the creative team.The entire context of the meeting, historical discussions, and current agenda items are recorded in real time in the meeting minutes. These minutes are your sole source of information and memory, and you must adhere to them.# 4. Core Instructions1. Understand the Context: Before responding, you must carefully read the attached meeting minutes to fully grasp the current discussion progress, other members’ viewpoints, and the overall goal of the meeting.2. Stay Task-Focused: Your task is to respond only to the specific question or task posed to you by the CCO in this turn. Do not drift into topics unrelated to the current task.3. Embrace the Role: Remain professional and creative. Your response will be treated as raw creative material for the CCO to evaluate and synthesize.

Usage Notes

  • This skill is based on the call_claude_sonnet_4_agent agent configuration
  • Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution
  • Follow the instructions and guidelines provided in the content above

Source

git clone https://clawhub.ai/teamolab/call-claude-sonnet-4-agentView on GitHub

Overview

This skill provides a dedicated AI agent to handle Claude Sonnet 4 tasks, enabling automated prompts, responses, and workflow orchestration within Sonnet 4 interactions. It emphasizes strict language matching and context-aware execution to keep outputs aligned with meeting goals.

How This Skill Works

The agent uses the call_claude_sonnet_4_agent configuration and reads the current meeting minutes to understand context. It then generates task-focused outputs that follow the defined rules (language matching, role identity, and scoped prompts). This keeps Claude Sonnet 4 interactions consistent during brainstorming sessions.

When to Use It

  • When coordinating Claude Sonnet 4 tasks in a brainstorming session to ensure consistent outputs.
  • When a user requires outputs to strictly match the initial challenge language (language-matching principle).
  • When operating within a meeting context that relies on real-time minutes as memory.
  • When you need to enforce a specific agent role and identity in Claude Sonnet 4 workflows.
  • When orchestrating a sequence of Claude Sonnet 4 actions in a structured workflow.

Quick Start

  1. Step 1: Initialize the call_claude_sonnet_4_agent configuration in your workspace.
  2. Step 2: Provide the user’s initial challenge language and the current meeting minutes as context.
  3. Step 3: Ask the agent to respond to the task question, then review the output for language alignment and relevance.

Best Practices

  • Explicitly specify the response language at the start and adhere to it (language-matching principle).
  • Reference the meeting minutes as the primary context source for all outputs.
  • Use the call_claude_sonnet_4_agent configuration consistently across tasks.
  • Keep responses concise and task-focused, avoiding off-topic content.
  • Validate prompts and outputs against the user’s initial challenge to ensure alignment.

Example Use Cases

  • Draft a Claude Sonnet 4 task plan in English for a product sprint, following the user’s language instruction.
  • Respond to a CCO prompt using the exact language specified in the current challenge.
  • Initialize a Claude Sonnet 4 workflow that processes minutes and outputs a task list.
  • Summarize Claude Sonnet 4 agent tasks from meeting notes with language consistency.
  • Troubleshoot a mismatch in language output by reapplying the Language Matching Principle.

Frequently Asked Questions

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