call-o3-llm

What This Skill Does

The call-o3-llm skill integrates the advanced O3 language model capabilities directly into the OpenClaw environment. It acts as an specialized AI agent designed for high-level creative brainstorming and complex reasoning tasks. By adopting a specific persona—codenamed $SHOW_NAME$—this skill functions as a core member of a creative team, interacting under the guidance of a Chief Creative Officer (CCO). The skill is engineered to maintain absolute adherence to the user's input language, ensuring that all outputs, summaries, and creative propositions remain consistent with the linguistic context of the session. It relies heavily on provided meeting minutes to ground its contributions, ensuring that every response is relevant, context-aware, and aligned with the team's ongoing objectives.

Installation

To integrate this skill into your local OpenClaw environment, ensure you have the OpenClaw CLI installed. Execute the following command in your terminal:

clawhub install openclaw/skills/skills/alvinecarn/call-o3-llm

Once installed, verify the installation by listing your active skills using clawhub list. No additional API key configuration is required if your environment is already authenticated with the parent agent configuration.

Use Cases

This skill is ideal for:

• Collaborative creative brainstorming sessions where AI acts as a team member.
• Complex problem-solving tasks requiring high-level reasoning and persona-based responses.
• Maintaining strict language consistency in global project workflows.
• Analyzing real-time meeting transcripts to generate iterative creative improvements.

Example Prompts

1. "Based on the current meeting minutes, generate three unique marketing campaign slogans for the new O3 product launch that align with our team's brand voice."
2. "Review the last three entries in the minutes and provide a summary of the conflicting viewpoints between the design and engineering leads, then suggest a creative compromise."
3. "Assume the persona of $SHOW_NAME$. Based on the CCO's request for a pivot in our strategy, draft a brief outline of how we can incorporate user feedback into the next iteration."

Tips & Limitations

• Context is King: The skill's efficacy depends entirely on the quality and completeness of the meeting minutes provided. Ensure your session transcript is up-to-date.
• Language Discipline: The skill is hard-coded to ignore system-level language defaults in favor of user-input language. Always initiate your task in the target language to prevent translation errors.
• Persona Consistency: The skill will strictly follow the persona requirements. Avoid asking it to break character, as this may lead to degraded output performance.
• Non-Autonomous: This agent is designed for team-based interaction. It is not intended to work in isolation; it requires a CCO or similar lead to direct its output.