A lightning-fast alias skill for joining, merging, or concatenating files, strings, and data structures across multiple formats.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install j
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install j using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is j: The Join and Merge Skill?
The j skill is a highly efficient alias designed for developers and data scientists who need to unify fragmented information. Whether you are dealing with scattered log files, multiple JSON objects, or disconnected CSV datasets, this skill provides a centralized interface to perform complex merging operations using industry-standard CLI tools.
By leveraging the power of Openclaw Skills, j simplifies the syntax for concatenation, column-based joining, and deep-merging of data structures. It transforms the tedious process of manual data aggregation into a single-command workflow, ensuring consistency and speed in your development environment.
j: The Join and Merge Skill Use Cases
- Merging multiple text or log files into a single master document.
- Concatenating JSON arrays or deep-merging complex JSON objects.
- Joining CSV or TSV files while preserving headers or matching specific columns.
- Converting multi-line text into single-line strings for parameter passing.
- Bundling source code files into a single file for distribution or analysis.
How j: The Join and Merge Skill Works
- The user triggers the skill using the j alias followed by the target files or data sources.
- The skill identifies the file format (e.g., .json, .csv, .txt) and selects the appropriate underlying utility like cat, jq, or awk.
- It executes the merging logic, such as vertical stacking, horizontal joining, or key-based mapping.
- The resulting unified output is either streamed to the console or saved to a specified destination file.
- Post-merge verification ensures data integrity and proper encoding.
j: The Join and Merge Skill Setup
To use this skill within the Openclaw Skills ecosystem, ensure you have the necessary CLI utilities installed on your system.
# Install core utilities
sudo apt-get install coreutils jq gawk
# For CSV specific merging
pip install csvkit
# To combine Markdown files
sudo apt-get install pandoc
j: The Join and Merge Skill Data Schema & Taxonomy
The j skill handles data through various stream-based and file-based taxonomies:
| Data Type | Organization Method | Tools Used |
|---|---|---|
| Plain Text | Sequential concatenation or column-wise paste | cat, paste |
| JSON | Array addition or object reduction | jq |
| CSV/TSV | Header-aware stacking or field-based joins | csvstack, join |
| Code Files | Comment-delimited bundling | sed, sh |
| Logs | Chronological or natural sort merging | ls -v, sort |
j: The Join and Merge Skill Advanced Features
- Natural Sort Merging: Automatically orders files by version numbers or timestamps before joining.
- Stream-based Processing: Handles exceptionally large files using gzip and stream pipes to minimize memory footprint.
- Deep JSON Merging: Recursively merges nested objects within JSON files using reduction logic.
- Field-based Joining: Performs database-like 'inner joins' on text files using specific column keys.
- Encoding Normalization: Automatically converts non-UTF-8 files (like GBK) during the merge process.
SKILL.md
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