Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- Clarified that concrete context and real examples must come from user input, not from files or assumptions. - Revised prerequisites and section examples to emphasize grounding talks in specific, user-provided details. - Updated Output Format and Talk Rules to specify use of real scenarios over hypothetical or file-based details. - Adjusted language in context checklists and core logic to reflect a tighter focus on actual user context.
What This Skill Does
Converts technical conversations and insights into structured 40-50 minute TED-style presentations. Output follows a fixed arc: hook, problem setup, core concept, real-world examples, broader implications, closing, and Q&A preparation. Works from current conversation context or an explicit topic argument.
Producing a full 40-50 minute talk forces you to articulate the why behind decisions, anticipate objections, and connect specifics to broader implications — gaps that a summary or slide deck rarely surface.
When to use it
- Turning a debugging post-mortem into a conference talk
- Preparing a presentation on an architectural decision made during a project
- Structuring a knowledge transfer session after solving a hard technical problem
- Writing speaker notes for a meetup talk based on recent engineering work
- Practicing explaining a complex system decision to a non-technical audience
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: /ted bootstrap observability
- 1Reads current conversation context to extract key decisions and 'aha' moments
- 2Identifies the narrative arc: problem, discovery, solution, impact
- 3Structures content into timed sections from Opening through Q&A Preparation
- 4Expands each section to meet the 40-50 minute depth requirement using only details from the provided context
- 5Generates Q&A block with likely objections and prepared responses
Full TED talk markdown with titled sections, timestamps, concrete examples drawn from the conversation, and 2-3 anticipated audience questions with answers