# Send TED Talk to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "ted-talk",
    "name": "TED Talk",
    "source": "tencent",
    "type": "skill",
    "category": "内容创作",
    "sourceUrl": "https://clawhub.ai/leegitw/ted-talk",
    "canonicalUrl": "https://clawhub.ai/leegitw/ted-talk",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/ted-talk",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ted-talk",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "ted-talk",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T18:35:17.839Z",
      "expiresAt": "2026-05-07T18:35:17.839Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ted-talk",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ted-talk",
        "contentDisposition": "attachment; filename=\"ted-talk-1.0.2.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "ted-talk"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/ted-talk"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/ted-talk",
    "downloadUrl": "https://openagent3.xyz/downloads/ted-talk",
    "agentUrl": "https://openagent3.xyz/skills/ted-talk/agent",
    "manifestUrl": "https://openagent3.xyz/skills/ted-talk/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/ted-talk/agent.md"
  }
}
```
## Documentation

### ted-talk (話)

Transform technical conversations and insights into full-length TED-style talks.
Creates comprehensive 40-50 minute presentations with hooks, concrete examples,
broader implications, and Q&A preparation.

Trigger: 明示呼出 (explicit invocation) or when deep technical insight emerges

Core insight: "The best technical talks don't just explain what — they reveal why
it matters, with examples concrete enough to apply and implications broad enough to inspire."

### Installation

openclaw install leegitw/ted-talk

Dependencies: None (standalone creative skill)

Data handling: This skill synthesizes content from user-supplied input or the current
conversation context (default). It does NOT read files from the workspace or access project
artifacts directly. Results are returned to the invoking agent, who decides how to use them.

### What This Solves

Technical insights often stay trapped in conversations. A well-structured talk
makes them teachable and shareable. This skill:

Expands technical conversations into comprehensive narratives
Grounds abstract insights in concrete, real-world examples
Prepares for audience questions and objections

The insight: A 50-minute talk forces you to truly understand something — if you
can't explain the why, address objections, and connect to broader implications,
you don't fully understand it.

### Usage

/ted [topic]

### Arguments

ArgumentRequiredDescriptiontopicNoTopic focus (default: synthesize current conversation)

### Pre-Requisites

Before creating a TED talk, ensure:

Sufficient conversation depth — Surface-level topics make shallow talks
Clear narrative arc — Problem → Discovery → Solution → Impact
Main work documented — Save current progress first if mid-task
Concrete context available — Real problems, real decisions, real outcomes

### Context Understanding Checklist

You must be able to answer:

QuestionWhat It MeansCore insight?Not "we talked about X" but "we discovered X solves Y"Problem solved?The pain point, not just the topicWhy, not just what?The reasoning, not just the outcomeConcrete examples?Specific details from the context providedBroader implications?Why does this matter beyond the immediate context?

### Red Flags (Don't Create)

Surface-level summary of conversation
Don't understand why a decision was made
No concrete examples to draw from
Insight doesn't have broader implications
Would be padding the talk with generic content

### TED Talk Structure

## TED Talk: "[Talk Title]"

### Opening (0:00-2:00)
[Hook with relatable problem]

### Setup: Why This Matters (2:00-6:00)
[Context, stakes, personal connection]

### The Problem (6:00-12:00)
[Deep dive into the pain point]

### Core Concept (12:00-25:00)
[Explain the insight thoroughly]

### Real-World Examples (25:00-38:00)
[Concrete applications with specifics]

### Broader Implications (38:00-45:00)
[Why this matters beyond immediate context]

### Closing (45:00-48:00)
[Call to action or reflection]

### Q&A Preparation (48:00-50:00)
[Common objections and responses]

### Talk Rules

RuleDescriptionFull 40-50 minutesNOT a summary — comprehensive contentHook with problemStart with relatable pain, not abstract conceptConcrete examplesSpecific, real details — not hypothetical scenariosAddress objectionsQ&A section anticipates pushbackNo fillerEvery section should teach somethingAccessible but not condescendingTechnical depth without jargon overload

### Example: Section Length Guide

SectionDurationPurposeOpening2 minHook with relatable problemSetup4 minWhy this matters, stakesProblem6 minDeep dive into pain pointCore Concept13 minThe main insight, thoroughly explainedExamples13 minReal-world applicationsImplications7 minBroader impactClosing3 minCall to actionQ&A Prep2 minObjections and responses

### Step 1: Synthesize Conversation

Read full conversation context
Identify key decisions, "aha" moments
Extract core insight or pattern
Note concrete details from the context provided

### Step 2: Identify Narrative Arc

ElementQuestionProblemWhat was broken/painful?DiscoveryWhat did we learn?SolutionWhat pattern emerged?ImpactWhy does this matter?

### Step 3: Expand to Talk

For each section:

Opening: What relatable problem hooks the audience?
Setup: Why should they care? What's at stake?
Problem: Deep dive — make them feel the pain
Concept: Explain thoroughly, with analogies if helpful
Examples: Specific, concrete, from real work
Implications: Connect to broader context
Closing: What should they do with this knowledge?
Q&A: What will skeptics ask?

### Step 4: Ground in Reality

TED talks resonate when they're specific, not hypothetical. Draw from:

Real problems encountered (not abstract scenarios)
Actual decisions and their reasoning
Specific outcomes and what changed
Stories with concrete details the audience can visualize

Use what the user provides — don't invent specifics or assume access to files.

### Input: Bootstrap Observability Insight

Context: Discovered reproduce-to-debug problem. Introduced Bootstrap → Learn → Enforce phases.

### Output Excerpt

Title: "Bootstrap Before You Break: Why Greenfield Systems Need to Learn What Normal Looks Like"

### Opening (0:00-2:00)

It's 3 AM. Your pager goes off. The system is on fire — users are complaining,
something is clearly wrong. You pull up your logs and... nothing. Metrics?
Flat lines. Traces? What traces?

You're debugging blind.

And the worst part? You built this system. You know every line of code.
But you have no idea what's happening.

This happened to me six months ago. And the solution we found changed how
I think about every system I'll ever build.

### Setup: Why This Matters (2:00-6:00)

We've all been taught: instrument your code, add logging, set up dashboards.
The standard advice works great — for existing systems.

But what about greenfield? What about day one?

Here's the thing nobody tells you: you can't set meaningful thresholds
for a system that's never run in production. What's a normal response time?
What's an acceptable error rate? You don't know. You can't know. The system
hasn't told you yet.

[... continues for full 50 minutes ...]

Note: Full TED talk outputs are 40-50 minutes of content. This excerpt demonstrates the opening sections.

### Q&A Preparation

Q: "This seems like overkill for small projects."

A: Fair point. The full three-phase approach is designed for systems where
debugging cost is high — production services, distributed systems, anything
where "just add a log line and redeploy" isn't an option. For a weekend
project, you probably don't need this. But the core insight — bootstrap
before you enforce — scales down too. Even a simple log.Debug everywhere
is a form of bootstrap phase.

Q: "How long should the bootstrap phase last?"

A: We found 7-14 days covers most patterns. You want at least one full
business cycle (weekly patterns), and ideally two. The key indicator is
when your anomaly detection stops alerting on normal behavior.

### Integration

Layer: Creative
Depends on: None (standalone)
Used by: side-quests (combo skill)
Complements: insight-song, visual-concept

### Failure Modes

ConditionBehaviorInsufficient contextAsk clarifying questions firstNo concrete contextAsk for specific details before proceedingSurface-level insightSuggest deeper exploration firstNo broader implicationsSuggest finding wider relevance

### Security Considerations

Input sources:

User-supplied context (if provided)
Current conversation context (default)

What this skill does NOT do:

Read files from the workspace
Access project artifacts directly
Send data to external services
Record or publish content

Output behavior:
This skill returns the full TED talk directly to the invoking agent. The agent can then
display, save, or pass the result to another skill as needed.

Note on concrete details: The skill uses only what the user provides in the conversation
or as explicit input. It does not access workspace files. Review output before sharing
externally to ensure no sensitive information is included.

Provenance note:
This skill is developed by Live Neon (https://github.com/live-neon/skills) and published
to ClawHub under the leegitw account. Both refer to the same maintainer.

### Quality Checklist

Can explain core insight in one sentence
 Opening hooks with relatable problem
 Full 40-50 minutes of substantial content
 Concrete details from provided context included
 Broader implications explored
 Q&A addresses likely objections
 No filler or generic padding
 Accessible to non-experts but not condescending

### Acceptance Criteria

/ted synthesizes input or conversation into full-length talk
 Output includes all sections (opening through Q&A)
 Talk is 40-50 minutes of substantial content
 Concrete details from input/conversation included
 Q&A section addresses common objections
 Result returned to invoking agent

Part of the Live Neon Creative Suite.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: leegitw
- Version: 1.0.2
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-04-30T18:35:17.839Z
- Expires at: 2026-05-07T18:35:17.839Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/ted-talk)
- [Send to Agent page](https://openagent3.xyz/skills/ted-talk/agent)
- [JSON manifest](https://openagent3.xyz/skills/ted-talk/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/ted-talk/agent.md)
- [Download page](https://openagent3.xyz/downloads/ted-talk)