Table Builder
CheckedThis skill quickly creates tables from structured data, streamlining organization and improving data presentation efficiency.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add patricio0312rev/skills --skill table-builder -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
patricio0312rev
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned patricio0312rev/skills at 79ea6af485.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79ea6af485
- Manifest
- frontend/table-builder/SKILL.md
- Scanned
- 1 file, 337 lines
About this skill
What it does
The Table Builder skill enables AI agents to generate production-ready data tables with features like sorting, filtering, and pagination. It allows for both server-side and client-side rendering of these tables, providing flexibility in how the data is displayed and managed. The tool supports various configurations including column definitions, row actions (edit, delete, view), empty/loading states, and mobile responsiveness through stacked columns or horizontal scrolling.
When to use it
- You need to present structured data in an organized and interactive format.
- You want to allow users to sort and filter data within a table.
- You require pagination for large datasets to improve performance and user experience.
- You're building a dashboard or application that requires dynamic data tables.
- You need to display different views (e.g., no data, error) based on the current state of the data.
Key capabilities
- Sorting: Allows users to sort table columns in ascending or descending order.
- Filtering: Enables filtering of rows based on column values.
- Pagination: Divides large datasets into manageable pages for efficient browsing.
- Column Configuration: Define custom column headers, data types, and cell rendering logic.
- Row Actions: Implement actions like editing, deleting, or viewing individual rows.
- Mobile Responsiveness: Adapts table layout to different screen sizes (stacked columns or horizontal scroll).
Example prompts
- "Create a table of users with columns for ID, Name, Email, and Status."
- "Generate a data table showing orders, with sorting enabled on the 'Date' column and pagination set to 10 items per page."
- “Build a table displaying product inventory, including an ‘Edit’ action for each row.”
Tips & gotchas
- The skill requires understanding of column definitions (accessor keys) to properly configure the table.
- This is specifically designed for creating data tables; it's not intended for general-purpose coding assistance.
- Consider the performance implications when dealing with very large datasets, especially in client-side rendering mode.