shot-list
تایید شدهGenerate 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.
نصب مهارت
مهارتها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناختهشده را اسکن میکند اما نمیتواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.
نصب سراسری (سطح کاربر):
npx skillhub install jakerains/AgentSkills/shot-listنصب در پروژه فعلی:
npx skillhub install jakerains/AgentSkills/shot-list --projectمسیر پیشنهادی: ~/.claude/skills/shot-list/
بررسی هوش مصنوعی
Scored 68 for real automation pipeline (parse → collaborate → PDF) with solid Python scripts. Strong description with 5+ triggers and format specificity. Niche audience (film production) limits generality. Good reference docs for shot terminology.
محتوای 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