shot-list✓ ناجح
Generate professional shot lists from screenplays and scripts. Use when user uploads a screenplay (.fountain, .fdx, .txt, .pdf, .docx) or describes scenes for production planning. Parses scripts to extract scenes, helps determine camera setups, shot types, framing, and movement through collaborative discussion, then generates beautifully formatted PDF shot lists for production. Triggers include requests to create shot lists, plan shots, break down scripts for filming, or organize camera coverage.
// تثبيت المهارة
تثبيت المهارة
المهارات هي كود تابع لأطراف ثالثة من مستودعات GitHub العامة. يفحص SkillHub الأنماط الخبيثة المعروفة، لكنه لا يستطيع ضمان السلامة. راجع الكود المصدري قبل التثبيت.
تثبيت عام (على مستوى المستخدم):
npx skillhub install jakerains/AgentSkills/shot-listتثبيت في المشروع الحالي:
npx skillhub install jakerains/AgentSkills/shot-list --projectالمسار المقترح: ~/.claude/skills/shot-list/
محتوى SKILL.md
---
name: shot-list
description: Generate professional shot lists from screenplays and scripts. Use when user uploads a screenplay (.fountain, .fdx, .txt, .pdf, .docx) or describes scenes for production planning. Parses scripts to extract scenes, helps determine camera setups, shot types, framing, and movement through collaborative discussion, then generates beautifully formatted PDF shot lists for production. Triggers include requests to create shot lists, plan shots, break down scripts for filming, or organize camera coverage.
---
# Shot List Generator
Parse screenplays, collaboratively determine shots, and generate production-ready PDF shot lists.
## Workflow Overview
1. **Parse Script** → Extract scenes, locations, characters, action
2. **Collaborate** → Discuss shot choices scene-by-scene with user
3. **Generate PDF** → Create professional, printable shot list
## Step 1: Parse the Script
Support formats: `.fountain`, `.fdx`, `.txt`, `.pdf`, `.docx`
### Scene Extraction Pattern
Extract from script:
- **Scene number** (auto-generate if missing)
- **Scene heading** (INT./EXT., location, time)
- **Characters** in scene
- **Key action beats** (story moments needing coverage)
- **Page/timing estimate**
### Fountain/Text Parsing
```python
import re
def parse_screenplay(text):
"""Extract scenes from screenplay text."""
scenes = []
scene_pattern = r'^((?:INT\.|EXT\.|INT\./EXT\.|I/E\.)\s+.+)$'
lines = text.split('\n')
current_scene = None
scene_num = 0
for i, line in enumerate(lines):
line = line.strip()
if re.match(scene_pattern, line, re.IGNORECASE):
if current_scene:
scenes.append(current_scene)
scene_num += 1
current_scene = {
'number': scene_num,
'heading': line,
'characters': set(),
'action_beats': [],
'content': []
}
elif current_scene:
current_scene['content'].append(line)
if line.isupper() and len(line) > 1 and len(line) < 40:
if not any(t in line for t in ['CUT TO', 'FADE', 'DISSOLVE']):
current_scene['characters'].add(line.split('(')[0].strip())
if current_scene:
scenes.append(current_scene)
for s in scenes:
s['characters'] = list(s['characters'])
return scenes
```
## Step 2: Collaborative Shot Planning
After parsing, present scenes and discuss coverage. For each scene ask:
1. **What's the emotional arc?** (Drives framing choices)
2. **Who has focus?** (Determines coverage priority)
3. **Key moments?** (Beats requiring specific shots)
4. **Practical constraints?** (Location, equipment, time)
5. **Visual style reference?** (Film/show inspiration)
### Shot Type Reference
| Type | Code | Use For |
|------|------|---------|
| Wide/Establishing | WS | Location, groups |
| Full Shot | FS | Full body, action |
| Medium Shot | MS | Dialogue, interaction |
| Medium Close-Up | MCU | Emotional dialogue |
| Close-Up | CU | Reaction, emotion |
| Extreme Close-Up | ECU | Critical detail |
| Over-the-Shoulder | OTS | Dialogue coverage |
| Two-Shot | 2S | Paired characters |
| Insert | INS | Props, details |
| POV | POV | Character perspective |
### Camera Movement Reference
| Movement | Code | Effect |
|----------|------|--------|
| Static | STATIC | Stability |
| Pan | PAN | Follow horizontally |
| Tilt | TILT | Reveal height |
| Dolly | DOLLY | Approach/retreat |
| Tracking | TRACK | Follow movement |
| Crane | CRANE | Epic scale |
| Handheld | HH | Tension, energy |
| Steadicam | STEDI | Fluid following |
### Angle Reference
| Angle | Effect |
|-------|--------|
| Eye Level | Neutral |
| Low Angle | Power |
| High Angle | Vulnerability |
| Dutch | Unease |
## Step 3: Building Shot Entries
```python
shot_entry = {
'scene': 1,
'shot': 'A',
'setup': 1,
'shot_type': 'MS',
'framing': 'Medium on Sarah',
'angle': 'Eye Level',
'movement': 'STATIC',
'lens': '50mm',
'description': 'Sarah enters, sees the letter',
'characters': ['SARAH'],
'notes': 'Practical window light'
}
```
### Coverage Pattern
Master → Medium → Close-ups → Inserts
## Step 4: Generate PDF
Use `scripts/generate_shot_list_pdf.py` for professional output.
### PDF Columns
| Column | Content |
|--------|---------|
| Shot # | Scene.Shot ID |
| Setup | Camera setup |
| Type | Shot type code |
| Framing | Description |
| Move | Camera movement |
| Action | What happens |
| Notes | Technical notes |
Output to `/mnt/user-data/outputs/shot_list_{project}.pdf`
## References
- `references/shot_terminology.md` - Complete glossary
- `references/coverage_patterns.md` - Common coverage strategies
// تثبيت المهارة
تثبيت المهارة
المهارات هي كود تابع لأطراف ثالثة من مستودعات GitHub العامة. يفحص SkillHub الأنماط الخبيثة المعروفة، لكنه لا يستطيع ضمان السلامة. راجع الكود المصدري قبل التثبيت.
تثبيت عام (على مستوى المستخدم):
npx skillhub install jakerains/AgentSkills/shot-listتثبيت في المشروع الحالي:
npx skillhub install jakerains/AgentSkills/shot-list --projectالمسار المقترح: ~/.claude/skills/shot-list/