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- tools-only/X-Skills
- 최근 소스 활동
- 2026년 2월 9일 04:36
- 감지된 SKILL.md 언어
- 영어
- 스타
- 7
- 포크
- 1
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/tools-only/X-Skills --skill teleprompter명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Index of Build Systems Skills
Coordination patterns for distributed dataflow systems including barriers, epochs, and distributed snapshots
Windowing, sessionization, time-series aggregation, and late data handling for streaming systems
SOC 직업 분류 기준
SKILL.md 표시 중
| name | teleprompter |
| description | Convert video scripts to teleprompter format with auto-scroll, timing marks,... |
Transform written scripts into teleprompter-ready formats with auto-scroll and delivery optimization.
/teleprompter [script-file.md] # Convert script to teleprompter
/teleprompter [script] --practice # Practice mode with timing
/teleprompter start # Start teleprompter display
/teleprompter pause # Pause auto-scroll
/teleprompter speed [1-10] # Adjust scroll speed
/teleprompter export [script] --format pdf # Export for physical prompter
Convert scripts to teleprompter format for:
# How I Made My API 10x Faster
Hey everyone! Today I'm going to show you how I took my API from 2000 milliseconds response time down to just 180 milliseconds. That's more than 10x faster, and it only took me about an hour to implement.
The secret? Redis caching. Let me walk you through exactly how I did it.
[Show terminal with slow API]
So here's the problem...
╔════════════════════════════════════════════════╗
║ ║
║ Hey everyone! Today I'm going to show ║
║ you how I took my API from 2000 ║
║ milliseconds response time down to ║
║ just 180 milliseconds. ║
║ ║
║ [PAUSE - Show excitement] ║
║ ║
║ That's more than 10x faster, and it ║
║ only took me about an hour to ║
║ implement. ║
║ ║
║ [SLOW DOWN - Key point] ║
║ ║
║ The secret? Redis caching. ║
║ ║
║ [PAUSE - Let it sink in] ║
║ ║
║ Let me walk you through exactly ║
║ how I did it. ║
║ ║
║ >>> VISUAL: Terminal with slow API <<< ║
║ ║
║ [TRANSITION - Move to screen] ║
║ ║
║ So here's the problem... ║
║ ║
╚════════════════════════════════════════════════╝
Scroll Speed: ████████░░ 80% [+] [-]
Elapsed: 00:32 Remaining: ~04:28 Total: ~05:00
Line Breaks for Natural Breathing
❌ BEFORE (Hard to read):
Hey everyone! Today I'm going to show you how I took my API from 2000 milliseconds response time down to just 180 milliseconds.
✓ AFTER (Natural pauses):
Hey everyone!
Today I'm going to show you how I took
my API from 2000 milliseconds response
time down to just 180 milliseconds.
Delivery Cues
[PAUSE] - Stop for 1-2 seconds
[PAUSE LONG] - Stop for 3-4 seconds
[SLOW DOWN] - Decrease pace for emphasis
[SPEED UP] - Increase pace for energy
[SMILE] - Facial expression cue
[LOOK AT CAMERA] - Direct eye contact moment
[GESTURE] - Use hand motion
[EMPHASIZE] - Stress this word/phrase
Visual Action Markers
>>> VISUAL: Screen recording starts <<<
>>> VISUAL: Terminal command <<<
>>> VISUAL: Code editor <<<
>>> VISUAL: Show graph <<<
>>> VISUAL: Back to camera <<<
>>> B-ROLL: External footage <<<
Timing Markers
(00:15) - Hook delivered
(01:30) - Problem explained
(03:00) - Solution begins
(08:45) - Results shown
(09:30) - CTA (Call to action)
Adaptive Speed
Base Speed: 120 words per minute
Automatically adjusts based on:
- Sentence length (slower for long sentences)
- Complexity (slower for technical terms)
- Delivery cues (pauses stop scroll)
- User control (keyboard/foot pedal)
Smooth Scrolling Algorithm
├─ Ease-in at paragraph start
├─ Constant speed during reading
├─ Ease-out at delivery cues
├─ Full stop at [PAUSE] markers
└─ Resume with smooth acceleration
When user runs /teleprompter script.md --practice:
Step 1: Process Script
📝 PROCESSING SCRIPT
File: redis-tutorial-script.md
Word count: 1,247 words
Estimated time: 9:22 at 130 WPM
Analyzing for optimization...
- Added 34 natural line breaks
- Inserted 12 delivery cues
- Marked 7 visual transitions
- Set 5 timing checkpoints
Readability Score: 8.7/10 (good for teleprompter)
Step 2: Practice Mode
🎯 PRACTICE MODE
Get ready in: 3... 2... 1... GO!
╔════════════════════════════════════════════════╗
║ ║
║ Hey everyone! ║
║ ║
║ [Current line appears here] ║
║ ║
║ [Next line preview below] ║
║ ║
╚════════════════════════════════════════════════╝
[Press SPACE to pause/resume]
[Press ↑/↓ to adjust speed]
[Press R to restart]
[Press ESC to exit]
Real-time Feedback:
├─ Current pace: 125 WPM (target: 130 WPM) ✓
├─ Time elapsed: 02:15 / 09:22 estimated
├─ Energy level: Good, maintain energy
└─ Delivery: Natural, good pauses
Step 3: Live Teleprompter
Starting teleprompter in:
3...
2...
1...
╔═══════════════════════════════════════════════════╗
║ ║
║ ║
║ Hey everyone! ║
║ ║
║ Today I'm going to show you ║
║ how I took my API from 2000 ║
║ milliseconds response time down ║
║ to just 180 milliseconds. ║
║ ║
║ [PAUSE - Show excitement] ║
║ ║
║ That's more than 10x faster, and ║
║ it only took me about an hour ║
║ to implement. ║
║ ║
║ ║
╚═══════════════════════════════════════════════════╝
Practice hitting exact time targets:
🎯 TIMING PRACTICE
Target: 10:00 video
Script: 1,247 words
Pace needed: 125 WPM
Checkpoints:
├─ 02:30 - Hook complete ⏱️
├─ 05:00 - Problem explained ⏱️
├─ 08:00 - Solution shown ⏱️
└─ 09:30 - Wrap-up before CTA ⏱️
[Starting practice run...]
Checkpoint 1 (02:30 target)
Actual: 02:42
Difference: +12 seconds (Speed up slightly)
Recommendation: Increase pace to 132 WPM for next section
Real-time delivery feedback:
📊 ENERGY MONITORING
Current section: "Hook" (First 30 seconds)
Required energy: HIGH (8/10)
Your energy: Medium (5/10)
Suggestions:
🎤 Increase vocal volume 20%
😊 More facial expression
💪 Add hand gestures
⚡ Faster pace in this section
Target: Grab attention in first 10 seconds
Compare multiple recording attempts:
📹 TAKE COMPARISON
Take 1: 10:15 (target 10:00)
├─ Pace: 122 WPM (target: 125 WPM)
├─ Energy: 6/10 (target: 8/10)
├─ Pauses: Too long (avg 3.2s)
└─ Rating: 6.5/10
Take 2: 09:52 ✓ (within target)
├─ Pace: 126 WPM ✓ (target: 125 WPM)
├─ Energy: 7/10 (good improvement)
├─ Pauses: Good (avg 2.1s)
└─ Rating: 8.2/10 ⭐ BEST
Take 3: 09:45 (slightly fast)
├─ Pace: 131 WPM (bit fast)
├─ Energy: 8/10 ✓ (great energy)
├─ Pauses: Too short (avg 1.5s)
└─ Rating: 7.8/10
Recommendation: Use Take 2
Export for use with actual teleprompter hardware:
/teleprompter export script.md --format pdf --device physical
📄 EXPORTING FOR PHYSICAL PROMPTER
Format: PDF (Letter size, portrait)
Font: 48pt Arial (high contrast)
Layout: 6 words per line (optimal reading)
Margins: 2 inches (visible from 6 feet)
Generated:
- redis-script-prompter.pdf (12 pages)
- redis-script-prompter-mirror.pdf (for mirror prompters)
Print settings:
├─ Paper: Letter (8.5" x 11")
├─ Orientation: Portrait
├─ Font size: 48pt
├─ Double-spaced
└─ High contrast black on white
Essential controls during recording:
SPACE - Pause/Resume scroll
↑ - Increase scroll speed
↓ - Decrease scroll speed
→ - Skip forward 10 seconds
← - Skip backward 10 seconds
R - Restart from beginning
M - Add marker at current position
ESC - Exit teleprompter
F - Toggle fullscreen
C - Toggle delivery cues
T - Toggle timing markers
Use USB foot pedal for hands-free control:
🦶 FOOT PEDAL DETECTED
Left Pedal: Pause/Resume
Middle Pedal: Scroll backward
Right Pedal: Scroll forward
Custom mapping:
/teleprompter config pedal --left pause --right speed-up --middle restart
╔══════════════════════════════╗
║ ║
║ Hey everyone! Today I'm ║
║ going to show you how I ║
║ made my API 10x faster. ║
║ ║
╚══════════════════════════════╝
Best for: Desktop, laptop recording
Font: 36pt, white on black
Visible distance: 3-5 feet
╔══════════════════════════════╗
║ ║
║ Hey everyone! ║
║ ║
║ Today I'm going to show ║
║ you how I made my API ║
║ 10x faster. ║
║ ║
╚══════════════════════════════╝
Best for: Standing presentations
Font: 48pt, centered
Visible distance: 6-8 feet
┌──────────────┐
│ │
│ Hey everyone │
│ │
│ Today I'm │
│ going to │
│ show you how │
│ │
└──────────────┘
Best for: Phone/tablet prompter
Font: 24pt, optimized for small screen
Portrait orientation
╔══════════════════════════════╗
║ ║
║ .retsaf x01 IPA ym edam ║
║ I woh uoy wohs ot ║
║ !enoyreve yeH ║
║ ║
╚══════════════════════════════╝
Best for: Mirror-based teleprompters
Horizontally flipped text
High contrast for reflection
Works with other Creator Studio plugins:
⚠️ Scroll pace too fast for comfortable reading
Current: 150 WPM
Recommended: 120-130 WPM for natural delivery
Auto-adjust to 125 WPM? (y/n)
⚠️ You're behind schedule
Checkpoint 2 (05:00 target)
Actual: 05:47
Difference: +47 seconds
Recommendations:
- Speed up next section to 138 WPM
- Or cut 45 seconds from script
- Or accept 10:45 total (instead of 10:00)
❌ Text may not be visible from recording distance
Current setup:
Font: 24pt
Distance: 6 feet
Screen: 15" laptop
Recommendations:
- Increase font to 36pt minimum
- Move closer (4 feet recommended)
- Use external monitor (24"+)
# 1. Convert script to teleprompter format
User: /teleprompter redis-tutorial-script.md
# 2. Practice mode
User: /teleprompter --practice
Claude: Starting practice mode...
Target: 10:00 | Pace: 125 WPM
[Telepro mpter starts scrolling]
# 3. Record with live prompter
User: /record start redis-tutorial
User: /teleprompter start
# [User records video while reading from teleprompter]
# 4. Stop recording
User: /teleprompter pause
User: /record stop
Claude: ✅ Recording complete: 10:12 (target was 10:00)
Timing accuracy: 98%
Great take! 🎬
Your goal: Help creators deliver confident, natural, well-paced video narration with professional teleprompter support.