القائمة
Parse, validate, format, and transform JSON and YAML data. Use when user asks to work with JSON/YAML, validate config files, convert between formats, or extract data.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
本地离线 OCR 文字识别，基于 tesseract.js。当用户发图片/截图/扫描件要求提取文字时使用，支持中英文。纯本地运行，无需联网。
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Use when implementing any feature or bugfix, before writing implementation code
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
| name | json-yaml-tools |
| description | Parse, validate, format, and transform JSON and YAML data. Use when user asks to work with JSON/YAML, validate config files, convert between formats, or extract data. |
| version | 1.0.0 |
| author | deskwand |
| license | MIT |
| metadata | {"tags":["JSON","YAML","Data","Parsing","Validation","Transformation"]} |
| allowed-tools | read,write,shell |
Work with structured data formats.
# Validate syntax
python3 -c "import json; json.load(open('file.json')); print('Valid JSON')"
# Or with jq
cat file.json | python3 -m json.tool > /dev/null && echo "Valid" || echo "Invalid"
# Validate syntax
python3 -c "import yaml; yaml.safe_load(open('file.yaml')); print('Valid YAML')"
# Pretty-print
python3 -m json.tool file.json
# Compact (minified)
python3 -c "import json; print(json.dumps(json.load(open('file.json')), separators=(',', ':')))"
# Convert JSON to YAML
python3 -c "
import json, yaml, sys
data = json.load(open('file.json'))
yaml.dump(data, sys.stdout, default_flow_style=False, allow_unicode=True)
"
# Extract a field (with jq-like Python)
python3 -c "
import json
data = json.load(open('file.json'))
print(data['path']['to']['field'])
"
# List all top-level keys
python3 -c "
import json
data = json.load(open('file.json'))
print('\n'.join(data.keys()) if isinstance(data, dict) else 'Not an object')
"
# Extract a specific key
python3 -c "
import yaml
data = yaml.safe_load(open('file.yaml'))
print(data.get('key_name', 'Not found'))
"
| From | To | Command |
|---|---|---|
| JSON | YAML | python3 -c "import json,yaml; yaml.dump(json.load(open('f.json')), ...)" |
| YAML | JSON | python3 -c "import json,yaml; json.dump(yaml.safe_load(open('f.yaml')), ...)" |
| JSON | CSV | Flatten and write manually (structure-dependent) |
| CSV | JSON | Read CSV with csv module, dump as JSON |
# Count items in JSON array
python3 -c "import json; print(len(json.load(open('f.json'))))"
# Check if key exists
python3 -c "import json; print('key' in json.load(open('f.json')))"
# Merge two JSON files (shallow)
python3 -c "
import json
a = json.load(open('a.json'))
b = json.load(open('b.json'))
print(json.dumps({**a, **b}, indent=2))
"
safe_load (never load — security risk)