ted-talk

What This Skill Does

The ted-talk skill is a powerful storytelling engine designed to transform dense technical discussions into compelling, structured 40-50 minute TED-style presentations. It goes beyond simple summarization, identifying the core 'why' behind your technical decisions and weaving them into a narrative arc that includes a hook, deep problem analysis, and broader industry implications. By grounding abstract code or architecture in real-world context, this skill makes complex insights accessible and impactful, helping you prepare for public speaking, internal tech talks, or team knowledge sharing.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

openclaw install leegitw/ted-talk

Use Cases

• Knowledge Sharing: Converting a complex debugging session into an educational talk for junior engineers.
• Technical Advocacy: Framing a system migration or architectural decision in a way that non-technical stakeholders can understand and support.
• Personal Branding: Turning your project milestones into insightful blog posts or conference talk outlines.
• Reflection: Using the 50-minute format to rigorously test if you truly understand the 'why' behind a specific implementation strategy.

Example Prompts

1. "/ted How our new asynchronous message queue architecture reduced latency by 40%."
2. "/ted Based on our conversation about the microservices refactor, create a talk structure on the trade-offs of distributed systems."
3. "/ted I just finished building this new authentication protocol; turn my current notes into a persuasive presentation on modern web security."

Tips & Limitations

To get the best results, ensure your input has depth. The skill performs best when it has concrete examples and specific 'pain points' to analyze. Avoid using it for trivial updates or surface-level summaries, as the quality of the TED talk output is directly proportional to the depth of the technical insight provided. Remember that this skill synthesizes context from your current session; if your discussion is scattered, try summarizing the key decisions before invoking the command to provide a clearer narrative foundation.