# Multimedia Comedy Script > Create comedy scripts that integrate visual elements (graphics, data displays, video clips) with specific cue markers for when and how to display supporting visuals—based on Hasan Minhaj's *Patriot... - Skill: `sethmblack/multimedia-comedy-script` (Agent Skill) - Install (CLI): `npx skillmds add sethmblack/multimedia-comedy-script` - Raw SKILL.md: https://api.skillmd.com/api/skills/sethmblack/multimedia-comedy-script/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - License: MIT - Author: sethmblack (https://skillmd.com/u/sethmblack) - Updated: 2026-09-08 - Page: https://skillmd.com/skills/sethmblack/multimedia-comedy-script --- # Multimedia Comedy Script Create comedy scripts that integrate visual elements (graphics, data displays, video clips) with specific cue markers for when and how to display supporting visuals—based on Hasan Minhaj's *Patriot Act* methodology. --- ## Constraints - **Never use visuals as distraction.** Every visual must support the argument, not decorate it. - **Never display misleading data.** All charts, graphs, and statistics must be accurate and properly contextualized. - **Never rely on copyrighted footage without noting licensing needs.** Flag when video clips would require permissions. - **Never create visual cues that would be impossible to produce.** Consider production feasibility. --- ## When to Use Use this skill when: - User asks for presentation, video script, or talk with visual elements - Content involves data, statistics, or complex information that benefits from visual display - User requests "Patriot Act style," "visual podcast," or "multimedia format" - Creating comedy segment, educational video, or data-driven presentation - Need to integrate graphics, photos, video clips, or text overlays into script **Do NOT use when:** - Content works better as pure audio (podcast without video) - Visuals would distract rather than clarify - User specifically wants text-only or minimal-visual format --- ## Inputs | Input | Required | Description | Example | |-------|----------|-------------|---------| | `topic` | Yes | The subject to create script about | "Fast fashion environmental impact", "Student loan crisis", "Social media algorithms" | | `duration` | No | Target length in minutes | 5-7 minutes (default), 20-25 for deep dive | | `visual_style` | No | Type of visual integration | "Data-heavy", "Photo-driven", "Mix" (default) | | `audience` | No | Who is this for? | "General public" (default), "Informed audience", "Young adults" | | `tone` | No | Comedic register | "Satirical", "Playful", "Outraged but funny" (default: varies with content) | --- ## Workflow ### Step 1: Outline the Argument Arc Break the topic into clear narrative beats: - **Hook:** What's the surprising/outrageous entry point? (15-30 seconds) - **Setup:** What's the issue and why does it matter? (1-2 minutes) - **Evidence:** What are the key facts/data points? (2-5 minutes) - **Escalation:** How is this worse than people realize? (1-2 minutes) - **Implications:** What does this mean for the audience? (1 minute) - **Closer:** What question/challenge leaves them thinking? (15-30 seconds) **Output:** Bullet-point outline with timing for each beat. ### Step 2: Identify Visual Opportunities For each narrative beat, determine what visual would enhance understanding: | Content Type | Visual Approach | |--------------|----------------| | Statistics/Data | Bar chart, line graph, infographic, animated numbers | | Definitions/Concepts | Text overlay, animated typography, simple icons | | Examples | Photos, screenshots, short video clips (5-10 seconds) | | Comparisons | Side-by-side images, before/after, split screen | | Timelines | Chronological display, date stamps, historical photos | | Quotes | Text with attribution, video clip of person speaking | | Geographic info | Maps, location pins, country comparisons | **Critical Principle:** "Context, not distraction." Every visual serves the argument. ### Step 3: Write Script with Visual Cues Format the script with: - **Dialogue/VO** in regular text - **[VISUAL CUE: description]** in brackets at exact moment visual should appear - **[VISUAL OUT]** when returning to just speaker - **Stage directions** in italics when relevant for performance **Visual Cue Format:** ``` [VISUAL CUE: Type - Description - Duration] ``` **Examples:** - `[VISUAL CUE: GRAPHIC - Bar chart showing fast fashion production 2000 vs 2023, 300% increase highlighted - 8 seconds]` - `[VISUAL CUE: PHOTO - Image of garment factory with smoke, overlay text "52 million tons of textile waste per year" - 5 seconds]` - `[VISUAL CUE: VIDEO CLIP - News footage of fashion show, fast cuts - 6 seconds]` - `[VISUAL CUE: TEXT OVERLAY - Definition: "Fast Fashion" animated build - 4 seconds]` ### Step 4: Layer in Comedy Beats Add jokes, callbacks, asides that work WITH visuals: **Visual-Comedy Integration:** - **Call-and-response:** Set up expectation with words, visual delivers punchline - **Contrast:** Say one thing, visual shows the absurd reality - **Build:** Visual adds new information that heightens the joke - **Callback:** Reference visual shown earlier for payoff **Example:** ``` And the fashion industry says they're committed to sustainability. [VISUAL CUE: GRAPHIC - Corporate PR statements "Committed to Earth" with green leaves] Committed! Look at that commitment! So much commitment! [VISUAL CUE: GRAPHIC - Same companies' actual emissions data, massive increase] Oh. That kind of commitment. ``` ### Step 5: Time and Pace the Visuals Ensure visual rhythm supports narrative energy: - **Quick cuts (2-4 seconds):** For emphasis, energy, building montage - **Medium hold (5-8 seconds):** For data absorption, comparison, key facts - **Extended display (10-15 seconds):** For complex charts, multiple data points, detailed photos - **Visual silence:** Strategic moments with NO visual, just speaker, for emotional beats **Pacing Rule:** Match visual density to information density. More complex data = longer hold. Quick jokes = quick cuts. --- ## Output Structure ```markdown # [Title]: Multimedia Script **Duration:** X minutes **Visual Style:** [Data-heavy / Photo-driven / Mixed] **Production Notes:** [Key considerations, clip licensing needs, graphic complexity] --- ## Script [Segment introduction - context setting] **DIALOGUE/VO:** [Speaker text with natural rhythm, asides, pauses] [VISUAL CUE: Type - Description - Duration] [Continue alternating dialogue and visual cues] *[Stage direction when relevant]* [VISUAL OUT] [Continue through all narrative beats] --- ## Visual Summary Total visual elements: X - Graphics/Charts: X - Photos: X - Video Clips: X - Text Overlays: X **Production Complexity:** [Low / Medium / High] **Estimated Graphics Team Time:** [X hours] --- ## Source Inspiration Based on *Patriot Act with Hasan Minhaj* (2018-2020) - Emmy-winning motion design integrating investigative journalism with visual storytelling. ``` --- ## Example: Fast Fashion Segment **Input:** - Topic: "Fast fashion environmental impact" - Duration: 7 minutes - Visual Style: "Data-heavy with photo support" - Tone: "Outraged but funny" **Output:** # The Hidden Cost of Fast Fashion: Multimedia Script **Duration:** 7 minutes **Visual Style:** Data-heavy with photo support **Production Notes:** Requires licensed fashion show footage (approx. 15 seconds total), garment factory photos (Creative Commons available), custom animated graphics for statistics. --- ## Script **DIALOGUE/VO:** Okay, let's talk about fast fashion. And I know what you're thinking: "Hasan, I don't care about fashion." Neither do I! I've been wearing the same hoodie for four years. But here's the thing— [VISUAL CUE: GRAPHIC - Global fashion industry revenue: $1.7 trillion, animated number build - 5 seconds] This is a $1.7 trillion industry. With a T. That's larger than the economies of Canada or Spain. So yeah, we're gonna talk about it. [VISUAL OUT] Fast fashion is this idea that we can have new clothes every week, for basically no money. You've seen the brands— [VISUAL CUE: PHOTO MONTAGE - Logos of major fast fashion brands, quick cuts - 3 seconds] They drop new "collections" every few weeks. Not seasons. Weeks. In 2000, fashion brands were producing an average of two collections a year. Now? [VISUAL CUE: GRAPHIC - Timeline showing collections per year: 2000 = 2, 2023 = 52, with shocked emoji - 6 seconds] Fifty-two collections a year. That's one per week! They've turned fashion into a content creation platform. It's like if your wardrobe had an Instagram strategy. [VISUAL OUT] *[Pause for laugh]* And look, cheap clothes sound great, right? Five-dollar t-shirts? Sign me up! Except here's what that five-dollar t-shirt actually costs— [VISUAL CUE: GRAPHIC - Breakdown visualization: "$5 shirt = $4.50 environmental damage, $0.30 labor, $0.20 materials, shipping/markup splits" - 8 seconds] The environmental damage is nine times the retail price. Nine times! *[Walks across stage]* You know how we make clothing? Water. So much water. [VISUAL CUE: GRAPHIC - Animated water drops filling screen, text overlay "2,700 liters of water to make ONE cotton t-shirt" - 6 seconds] 2,700 liters of water to make one cotton t-shirt. That's what you drink in three years. For one shirt. And then there's the dyeing process— [VISUAL CUE: PHOTO - Image of bright purple river next to textile factory - 7 seconds] This is a river in Bangladesh. It's purple. Not because of algae. Not because of a weird natural phenomenon. Because that factory is making purple jeans. And they just... dump the dye. Into the river. The river is the color of the jeans they're making. [VISUAL OUT] *[Beat]* Explain that to me. The river is matching the product line. *[Audience laugh]* But wait, it gets worse. Because once we buy these clothes— [VISUAL CUE: GRAPHIC - Average times a garment is worn: 2000 = 200 times, 2023 = 7 times, massive drop visualization - 7 seconds] We wear them seven times. Seven! In 2000, people wore clothes an average of 200 times before throwing them out. Now it's seven. And where does it go? [VISUAL CUE: PHOTO - Massive textile waste mountain in Atacama Desert, Chile, aerial shot - 8 seconds] This is the Atacama Desert in Chile. That's not a hill. That's discarded clothing. From fast fashion. 39,000 tons of it. Just sitting there. In the desert. Because we wore it seven times and decided we were over it. [VISUAL OUT] And the fashion industry—they see this data, and they're like, "We're committed to sustainability!" [VISUAL CUE: VIDEO CLIP - Fashion exec at conference talking about "green initiatives," sound on - 6 seconds] [VISUAL CUE: GRAPHIC - Same brands' carbon emissions: 2015 = 1.2 billion tons CO2, 2023 = 2.1 billion tons, 75% increase arrow - 7 seconds] Oh, is that what commitment looks like? Because emissions went up 75%. [VISUAL OUT] Here's what's wild: the fashion industry produces 10% of global carbon emissions. More than all international flights and maritime shipping combined. [VISUAL CUE: GRAPHIC - Pie chart comparing emissions: Fashion 10%, All flights + shipping 8% - 6 seconds] Let that sink in. Your $5 t-shirt is worse for the planet than a transatlantic flight. [VISUAL OUT] *[Returns to center stage]* So what do we do? I'm not saying never buy clothes. I'm saying maybe we don't need 52 collections a year. Maybe we don't need a new outfit for every Instagram post. Maybe—and this is radical—we could wear things more than seven times. *[Final beat, looking directly at camera]* Because right now? We're literally drowning in cheap clothes. And the planet's paying the bill. [VISUAL CUE: PHOTO - Return to purple river image, hold - 5 seconds] [VISUAL OUT] --- ## Visual Summary Total visual elements: 13 - Graphics/Charts: 7 - Photos: 4 - Video Clips: 1 - Text Overlays: 1 **Production Complexity:** Medium-High - Custom animated graphics needed for statistics - Photo sourcing: Creative Commons or licensed - Video clip: 6-second fashion conference footage (licensing required) **Estimated Graphics Team Time:** 12-15 hours - Animated data visualizations: 8 hours - Photo compositing and text overlays: 4 hours - Video clip editing: 1 hour --- **Source Inspiration:** Based on *Patriot Act with Hasan Minhaj* methodology - Emmy-winning motion design for "The Ugly Truth of Fast Fashion" episode. --- ## Error Handling | Situation | Response | |-----------|----------| | Topic has limited visual potential | Focus on text overlays, definitions, key quote displays; prioritize speaker presence over visual density | | Too many visual cues (crowding script) | Consolidate; combine related data into single comprehensive graphic; identify which visuals are truly necessary | | Data unavailable for claimed visual | Flag for user: "NEEDS RESEARCH: Statistic for [topic]" or provide alternative visual approach | | Timing feels off (too fast/slow) | Adjust visual duration; extend hold time for complex data, speed up montages, add "visual silence" beats | | Copyright concerns for footage | Note: "[VIDEO CLIP - LICENSING REQUIRED: Description]" and suggest Creative Commons alternatives | --- ## Integration with Hasan Minhaj Expert When Hasan Minhaj expert identifies: - Topic with strong data/visual component - Presentation or video format request - Need to make complex information digestible Expert should invoke this skill, then enhance output with: - Personal-to-political story elements - Cultural references and callbacks - Signature phrases and energy - Strategic vulnerability moments (visual silence for emotional beats) --- ## Relationship to Other Skills - **Enhanced by:** `personal-to-political-story` - Personal narrative becomes foundation for segment - **Combines with:** `callback-web-architecture` - Visual callbacks (showing earlier graphic again with new context) - **Workflow:** Often follows research/outline phase, precedes actual production --- ## Quality Checklist Before delivering output, verify: - [ ] Every visual serves the argument (context, not distraction) - [ ] Visual cues specify type, description, duration - [ ] Timing allows audience to absorb information (not too fast) - [ ] Mix of visual types (not all charts or all photos) - [ ] Comedy beats integrated with visuals (not separate) - [ ] Strategic moments of visual silence for emotional beats - [ ] Production feasibility noted (licensing, complexity, time) - [ ] Clear connection between dialogue and visual display --- ## Notes **Patriot Act Philosophy:** "Visual podcast"—what happens when you cross RadioLab investigative depth with Beyoncé concert production values. The design supports the central tenet: provide context, not distraction. **Emmy-Winning Team Approach:** The *Patriot Act* graphics team won Outstanding Motion Design (2019) by making visuals that enhanced understanding rather than overwhelming it. **Production Designer Marc Janowitz:** Known for concert designs; created aesthetic that departed from traditional "over-the-shoulder rectangle" of video in favor of immersive, argument-supporting displays. **Key Insight:** "Investigative visual comedic podcast" or "Michael Bay made a PowerPoint"—the visual density matches the information density, creating an experience that's entertaining AND educational. ## Outputs **Primary Output:** A structured analysis document that identifies and articulates patterns, insights, and actionable recommendations based on the input data. **Format:** ```markdown ## Analysis: [Topic] ### Key Findings - [Finding 1] - [Finding 2] - [Finding 3] ### Recommendations 1. [Action 1] 2. [Action 2] 3. [Action 3] ``` **Example output:** See the Example section below for a complete demonstration. ## Example **Input:** - input_data: [Specific example input] - context: [Relevant background] **Output:** [Detailed demonstration of the skill in action - showing the complete process and final result] **Why this works:** This example demonstrates the key principles of the skill by [explanation of what makes it effective].