Overview
- Skill Key
- arnarsson/jq-json-processor
- Author
- arnarsson
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/arnarsson/jq-json-processor
- Latest Commit SHA
- 83fe48d7bf860c88453575d6bee26487d4f71927
Process, filter, and transform JSON data using jq - the lightweight and flexible command-line JSON processor.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 jq-json-processor 技能。 若已安装,则直接安装 jq-json-processor 技能。
# jq JSON Processor
Process, filter, and transform JSON data with jq.
## Quick Examples
### Basic filtering
```bash
# Extract a field
echo '{"name":"Alice","age":30}' | jq '.name'
# Output: "Alice"
# Multiple fields
echo '{"name":"Alice","age":30}' | jq '{name: .name, age: .age}'
# Array indexing
echo '[1,2,3,4,5]' | jq '.[2]'
# Output: 3
```
### Working with arrays
```bash
# Map over array
echo '[{"name":"Alice"},{"name":"Bob"}]' | jq '.[].name'
# Output: "Alice" "Bob"
# Filter array
echo '[1,2,3,4,5]' | jq 'map(select(. > 2))'
# Output: [3,4,5]
# Length
echo '[1,2,3]' | jq 'length'
# Output: 3
```
### Common operations
```bash
# Pretty print JSON
cat file.json | jq '.'
# Compact output
cat file.json | jq -c '.'
# Raw output (no quotes)
echo '{"name":"Alice"}' | jq -r '.name'
# Output: Alice
# Sort keys
echo '{"z":1,"a":2}' | jq -S '.'
```
### Advanced filtering
```bash
# Select with conditions
jq '[.[] | select(.age > 25)]' people.json
# Group by
jq 'group_by(.category)' items.json
# Reduce
echo '[1,2,3,4,5]' | jq 'reduce .[] as $item (0; . + $item)'
# Output: 15
```
### Working with files
```bash
# Read from file
jq '.users[0].name' users.json
# Multiple files
jq -s '.[0] * .[1]' file1.json file2.json
# Modify and save
jq '.version = "2.0"' package.json > package.json.tmp && mv package.json.tmp package.json
```
## Common Use Cases
**Extract specific fields from API response:**
```bash
curl -s https://api.github.com/users/octocat | jq '{name: .name, repos: .public_repos, followers: .followers}'
```
**Convert CSV-like data:**
```bash
jq -r '.[] | [.name, .email, .age] | @csv' users.json
```
**Debug API responses:**
```bash
curl -s https://api.example.com/data | jq '.'
```
## Tips
- Use `-r` for raw string output (removes quotes)
- Use `-c` for compact output (single line)
- Use `-S` to sort object keys
- Use `--arg name value` to pass variables
- Pipe multiple jq operations: `jq '.a' | jq '.b'`
## Documentation
Full manual: https://jqlang....
heyixuan2
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pipeline: search → generate → analyze → colorize → preview → open BS → user slice → print → monitor. Supports all 9 Bambu Lab printers (A1 Mini, A1, P1S, P2S, X1C, X1E, H2C, H2S, H2D).
openstockdata
OpenClaw Skill for stock data analysis
capt-marbles
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discoverability and citation.
camopel
Free multi-engine web search via ddgs CLI (DuckDuckGo, Google, Bing, Brave, Yandex, Yahoo, Wikipedia) + arXiv API search. No API keys required. Use when user needs web search, research paper discovery, or when other skills need a search backend. Drop-in replacement for web-search-plus.
camopel
Local arXiv paper manager with semantic search. Crawls arXiv categories, downloads PDFs, chunks content, and indexes with FAISS + Ollama embeddings. No cloud API keys required — everything runs locally.
camohiddendj
DuckDuckGo HTML search scraper CLI with JSON, CSV, OpenSearch, markdown, and compact outputs.