Audio overview
Featured by
nene@YouMind.AI
Why we love this skill
Transform any long-form content—from books and academic papers to videos and podcasts—into a concise, sub-3-minute audio summary. This skill expertly distills core theses, key insights, and actionable takeaways, making complex information digestible and accessible on the go. Perfect for busy professionals and curious minds.
Instructions
## What This Skill Does
Converts any long-form content into a **sub-3-minute audio summary** that captures:
- The core thesis or main argument
- Key insights and takeaways
- Most important evidence or examples
- Actionable conclusions (if applicable)
**Supported Input Types:**
- 📚 **Books** — Full texts, chapters, or book PDFs
- 📄 **Long Articles** — Longform journalism, essays, blog posts
- 🎓 **Academic Papers** — Research papers, theses, journals
- 🎥 **Long Videos** — YouTube lectures, documentaries, talks (>20 minutes)
- 🎙️ **Podcasts** — Episode transcripts or audio files (>20 minutes)
### Step 1: Receive & Analyze Content
When the user provides content:
1. **Identify the content type** (book/article/paper/video/podcast)
2. **Extract or access the full content**:
- For videos/podcasts: Extract transcript
- For PDFs/articles: Read full text
- For books: Identify if it's full book or specific chapter
3. **Note metadata**: Title, author, length, publication date
### Step 2: Distill Core Content
Perform deep analysis to extract the absolute essentials:
**Core Thesis (must)**
- What is the central argument or main message?
- What question is the author trying to answer?
**Key Insights (3-5 points maximum)**
- What are the most important ideas or discoveries?
- What changes the way we think about this topic?
- What's surprising, counterintuitive, or novel?
**Critical Evidence (1-2 examples maximum)**
- What's the strongest proof or most memorable example?
- Which case study or data point best illustrates the thesis?
**Actionable Takeaway (if applicable)**
- What should the listener do with this information?
- How does this change their thinking or behavior?
**Quality Filter:**
- Ruthlessly prioritize **signal over noise**
- Cut all tangents, side stories, and filler
- Focus on what's **memorable and useful**
- Aim for **clarity over comprehensiveness**
### Step 3: Generate Audio
Once the script is finalized:
1. **Select appropriate voice**:
- Default: Professional, clear, engaging narrator voice
- Match tone to content (authoritative for academic, warm for self-help, etc.)
2. **Set audio parameters**:
- Speed: 1.0 (natural pace, adjust only if script runs long)
- Emotion: Neutral to slightly positive (engaging but not overly enthusiastic)
- Language: Match the source content language
3. **Call audioGenerate tool** with:
- `title`: "[Content Title] — 3-Minute Overview"
- `text`: The complete script
- `voice`: Selected voice ID
- `mode`: "single"
---
## Output Format
**Deliverables:**
1. **Audio File** (Primary Output)
- 2:30-3:00 minutes in length
- Clear, professional narration
- Automatically playable in conversation
2. **Script** (Optional, if user requests)
- Full written transcript of the audio
- Formatted for readability
**After Generation:**
"Here's your 3-minute audio overview of [Content Title]!
🎧 **Listen now** to get the core insights in under 3 minutes.
**Covered in this overview:**
- [Key point 1]
- [Key point 2]
- [Key point 3]
Want the full script, or need me to adjust the tone/pace?"
---
## Adaptive Content Handling
### For Books
- If **full book**: Extract overarching thesis + most important chapters
- If **specific chapter**: Focus on that chapter's core argument
- Prioritize: Main thesis → Key frameworks → Most memorable examples
### For Academic Papers
- Focus on: Research question → Methodology (briefly) → Key findings → Implications
- Translate jargon into plain language
- Emphasize **what this means** not just **what they found**
### For Long Videos/Podcasts
- Extract transcript first
- Identify the main narrative arc or argument
- Cut all banter, ads, tangents, and repetition
- Focus on the **core content** the speaker is trying to convey
### For Long Articles
- Identify the central argument or story
- Extract the most compelling evidence or anecdotes
- Preserve the author's unique insights, cut the rest
---
## Quality Checklist
Before generating audio, verify:
✅ **Content Quality**
- [ ] Script captures the TRUE core message (not surface-level summary)
- [ ] Includes 3-5 key insights maximum (not overwhelming)
- [ ] Has at least one memorable example or evidence
- [ ] Ends with clear takeaway or conclusion
✅ **Audio Quality**
- [ ] Script is 450-480 words (3 minutes at 150 wpm)
- [ ] Language is conversational and clear
- [ ] No jargon or unexplained technical terms
- [ ] Natural pacing with varied sentence length
✅ **Listenability**
- [ ] Opening hooks attention immediately
- [ ] Flow is logical and easy to follow
- [ ] No confusing jumps or missing context
- [ ] Closing feels satisfying and complete
✅ **Accuracy**
- [ ] Represents the source material faithfully
- [ ] No misrepresentation of author's arguments
- [ ] Key facts and examples are correct
- [ ] Proper attribution to source
---
description
Transform any long content—books, videos, papers—into a sub-3-minute audio summary. Get the core thesis and key insights instantly, saving hours while staying informed.
Related Skills
View allClassroom Explanation Diagram Generator
Transform the lecture transcript into a complete set of Keynote-style 16:9 teaching infographics, outputting both a text and image explanation version and a minimalist image collection in two documents. Each image represents a single concept, broken down into fine-grained steps; four ironclad rules of precision ensure quality; five types of visual templates are used; visual QA is performed on each image; and delivery is only after procedural verification.

One Soft Thing
Share how you feel after work, and One Soft Thing will give you one small, doable evening activity, plus a gentle card to help you come back to yourself.

Multi-Agent Investment Research Team: A-Share Stock Selection and Investment Committee Analysis
It's not an AI assistant, but a virtual investment research team. AI stock selection on the market often suffers from three common problems: fabricating financial figures and target prices, vaguely stating "positive/negative" factors, and simply giving a "buy recommendation" without providing any supporting evidence. The "Multi-Agent Investment Research Team" addresses these three points with a triple mechanism of "6 roles in parallel + cross-validation + mandatory source verification": it brings together researchers, fundamental analysts, technical analysts, sentiment analysts, risk officers, and investment managers to work in parallel, meeting and reaching conclusions like a real investment committee. What you receive is not a vague judgment, but a professional investment research report with facts, signals, disagreements, risks, and traceable data for every single figure. Two modes cover "researching a single stock" and "screening a batch of stocks." Mode A: In-depth analysis by the single-stock investment committee—Given a single stock (e.g., "analyzing BYD 002594"), the skill automatically convenes a complete investment committee meeting: Researchers aggregate market data, financial reports, research reports, and industry chain position, presenting only objective facts; fundamental analysts provide a financial health scorecard, key changes in the three financial statements, and PEG valuation calculations; technical analysts assess trends, moving averages, MACD, and support and resistance levels, and provide a five-point buy signal hit table; sentiment analysts scan for institutional disagreements, stock forum sentiment, and potential misinterpretations; risk officers dig up opposing evidence, refuting the optimistic conclusions of other roles point by point; finally, the investment manager does not touch new data, only integrates it, and produces investment committee minutes and a one-page summary. Mode B - Multi-condition Stock Selection Screening: From your specified range (CSI 300, a specific industry concept sector, or your own stock pool), a three-layer funnel filtering process is used: First, L1 financial hard screening (three consecutive quarters of growth, ample cash flow, PEG < 1 or a significant increase in contract liabilities); then L2 technical timing (platform breakout, golden cross of moving averages, breakout with increased volume, strong pullback with reduced volume, MACD crossing above the zero line); finally, L3 information verification (research report ratings and industry chain logic, eliminating targets with "purely technical analysis without fundamental logic"). After the candidate list is generated, the Top N targets can be automatically connected to Mode A for in-depth analysis. You will receive the following deliverables: Option A: Fixed delivery of the "five-piece set": ① A comprehensive analysis report integrating all six roles; ② Data sources and evidence tables, with each key conclusion corresponding to "Data → Source → Date"; ③ Meeting minutes of the investment committee (topics → viewpoints → disagreements → consensus → variables to be tracked); ④ A risk list sorted by severity (high/medium/low); ⑤ A one-page summary by the investment manager, condensing the core logic, key variables, validation points, and confidence levels. Option B: Delivery of a candidate stock list (code | name | hit criteria | key data | source | trigger date) + explanation of screening criteria and definitions, with the option to optionally include the complete five-piece set for top candidates. All deliverables are saved as files, with filenames including the target and date for easy reuse and archiving.

Audio overview
Featured by
nene@YouMind.AI
Why we love this skill
Transform any long-form content—from books and academic papers to videos and podcasts—into a concise, sub-3-minute audio summary. This skill expertly distills core theses, key insights, and actionable takeaways, making complex information digestible and accessible on the go. Perfect for busy professionals and curious minds.
Instructions
## What This Skill Does
Converts any long-form content into a **sub-3-minute audio summary** that captures:
- The core thesis or main argument
- Key insights and takeaways
- Most important evidence or examples
- Actionable conclusions (if applicable)
**Supported Input Types:**
- 📚 **Books** — Full texts, chapters, or book PDFs
- 📄 **Long Articles** — Longform journalism, essays, blog posts
- 🎓 **Academic Papers** — Research papers, theses, journals
- 🎥 **Long Videos** — YouTube lectures, documentaries, talks (>20 minutes)
- 🎙️ **Podcasts** — Episode transcripts or audio files (>20 minutes)
### Step 1: Receive & Analyze Content
When the user provides content:
1. **Identify the content type** (book/article/paper/video/podcast)
2. **Extract or access the full content**:
- For videos/podcasts: Extract transcript
- For PDFs/articles: Read full text
- For books: Identify if it's full book or specific chapter
3. **Note metadata**: Title, author, length, publication date
### Step 2: Distill Core Content
Perform deep analysis to extract the absolute essentials:
**Core Thesis (must)**
- What is the central argument or main message?
- What question is the author trying to answer?
**Key Insights (3-5 points maximum)**
- What are the most important ideas or discoveries?
- What changes the way we think about this topic?
- What's surprising, counterintuitive, or novel?
**Critical Evidence (1-2 examples maximum)**
- What's the strongest proof or most memorable example?
- Which case study or data point best illustrates the thesis?
**Actionable Takeaway (if applicable)**
- What should the listener do with this information?
- How does this change their thinking or behavior?
**Quality Filter:**
- Ruthlessly prioritize **signal over noise**
- Cut all tangents, side stories, and filler
- Focus on what's **memorable and useful**
- Aim for **clarity over comprehensiveness**
### Step 3: Generate Audio
Once the script is finalized:
1. **Select appropriate voice**:
- Default: Professional, clear, engaging narrator voice
- Match tone to content (authoritative for academic, warm for self-help, etc.)
2. **Set audio parameters**:
- Speed: 1.0 (natural pace, adjust only if script runs long)
- Emotion: Neutral to slightly positive (engaging but not overly enthusiastic)
- Language: Match the source content language
3. **Call audioGenerate tool** with:
- `title`: "[Content Title] — 3-Minute Overview"
- `text`: The complete script
- `voice`: Selected voice ID
- `mode`: "single"
---
## Output Format
**Deliverables:**
1. **Audio File** (Primary Output)
- 2:30-3:00 minutes in length
- Clear, professional narration
- Automatically playable in conversation
2. **Script** (Optional, if user requests)
- Full written transcript of the audio
- Formatted for readability
**After Generation:**
"Here's your 3-minute audio overview of [Content Title]!
🎧 **Listen now** to get the core insights in under 3 minutes.
**Covered in this overview:**
- [Key point 1]
- [Key point 2]
- [Key point 3]
Want the full script, or need me to adjust the tone/pace?"
---
## Adaptive Content Handling
### For Books
- If **full book**: Extract overarching thesis + most important chapters
- If **specific chapter**: Focus on that chapter's core argument
- Prioritize: Main thesis → Key frameworks → Most memorable examples
### For Academic Papers
- Focus on: Research question → Methodology (briefly) → Key findings → Implications
- Translate jargon into plain language
- Emphasize **what this means** not just **what they found**
### For Long Videos/Podcasts
- Extract transcript first
- Identify the main narrative arc or argument
- Cut all banter, ads, tangents, and repetition
- Focus on the **core content** the speaker is trying to convey
### For Long Articles
- Identify the central argument or story
- Extract the most compelling evidence or anecdotes
- Preserve the author's unique insights, cut the rest
---
## Quality Checklist
Before generating audio, verify:
✅ **Content Quality**
- [ ] Script captures the TRUE core message (not surface-level summary)
- [ ] Includes 3-5 key insights maximum (not overwhelming)
- [ ] Has at least one memorable example or evidence
- [ ] Ends with clear takeaway or conclusion
✅ **Audio Quality**
- [ ] Script is 450-480 words (3 minutes at 150 wpm)
- [ ] Language is conversational and clear
- [ ] No jargon or unexplained technical terms
- [ ] Natural pacing with varied sentence length
✅ **Listenability**
- [ ] Opening hooks attention immediately
- [ ] Flow is logical and easy to follow
- [ ] No confusing jumps or missing context
- [ ] Closing feels satisfying and complete
✅ **Accuracy**
- [ ] Represents the source material faithfully
- [ ] No misrepresentation of author's arguments
- [ ] Key facts and examples are correct
- [ ] Proper attribution to source
---
description
Transform any long content—books, videos, papers—into a sub-3-minute audio summary. Get the core thesis and key insights instantly, saving hours while staying informed.
Related Skills
View allClassroom Explanation Diagram Generator
Transform the lecture transcript into a complete set of Keynote-style 16:9 teaching infographics, outputting both a text and image explanation version and a minimalist image collection in two documents. Each image represents a single concept, broken down into fine-grained steps; four ironclad rules of precision ensure quality; five types of visual templates are used; visual QA is performed on each image; and delivery is only after procedural verification.

One Soft Thing
Share how you feel after work, and One Soft Thing will give you one small, doable evening activity, plus a gentle card to help you come back to yourself.

Multi-Agent Investment Research Team: A-Share Stock Selection and Investment Committee Analysis
It's not an AI assistant, but a virtual investment research team. AI stock selection on the market often suffers from three common problems: fabricating financial figures and target prices, vaguely stating "positive/negative" factors, and simply giving a "buy recommendation" without providing any supporting evidence. The "Multi-Agent Investment Research Team" addresses these three points with a triple mechanism of "6 roles in parallel + cross-validation + mandatory source verification": it brings together researchers, fundamental analysts, technical analysts, sentiment analysts, risk officers, and investment managers to work in parallel, meeting and reaching conclusions like a real investment committee. What you receive is not a vague judgment, but a professional investment research report with facts, signals, disagreements, risks, and traceable data for every single figure. Two modes cover "researching a single stock" and "screening a batch of stocks." Mode A: In-depth analysis by the single-stock investment committee—Given a single stock (e.g., "analyzing BYD 002594"), the skill automatically convenes a complete investment committee meeting: Researchers aggregate market data, financial reports, research reports, and industry chain position, presenting only objective facts; fundamental analysts provide a financial health scorecard, key changes in the three financial statements, and PEG valuation calculations; technical analysts assess trends, moving averages, MACD, and support and resistance levels, and provide a five-point buy signal hit table; sentiment analysts scan for institutional disagreements, stock forum sentiment, and potential misinterpretations; risk officers dig up opposing evidence, refuting the optimistic conclusions of other roles point by point; finally, the investment manager does not touch new data, only integrates it, and produces investment committee minutes and a one-page summary. Mode B - Multi-condition Stock Selection Screening: From your specified range (CSI 300, a specific industry concept sector, or your own stock pool), a three-layer funnel filtering process is used: First, L1 financial hard screening (three consecutive quarters of growth, ample cash flow, PEG < 1 or a significant increase in contract liabilities); then L2 technical timing (platform breakout, golden cross of moving averages, breakout with increased volume, strong pullback with reduced volume, MACD crossing above the zero line); finally, L3 information verification (research report ratings and industry chain logic, eliminating targets with "purely technical analysis without fundamental logic"). After the candidate list is generated, the Top N targets can be automatically connected to Mode A for in-depth analysis. You will receive the following deliverables: Option A: Fixed delivery of the "five-piece set": ① A comprehensive analysis report integrating all six roles; ② Data sources and evidence tables, with each key conclusion corresponding to "Data → Source → Date"; ③ Meeting minutes of the investment committee (topics → viewpoints → disagreements → consensus → variables to be tracked); ④ A risk list sorted by severity (high/medium/low); ⑤ A one-page summary by the investment manager, condensing the core logic, key variables, validation points, and confidence levels. Option B: Delivery of a candidate stock list (code | name | hit criteria | key data | source | trigger date) + explanation of screening criteria and definitions, with the option to optionally include the complete five-piece set for top candidates. All deliverables are saved as files, with filenames including the target and date for easy reuse and archiving.

Find your next favorite skill
Explore more curated AI skills for research, creation, and everyday work.