Markdown Tables
CheckedGenerate clean, formatted markdown tables from text descriptions or data inputs quickly and accurately.
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 thebushidocollective/han --skill markdown-tables -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
thebushidocollective
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 thebushidocollective/han at 19caa51d5f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 19caa51d5f
- Scanned
- 1 file, 221 lines
About this skill
What it does
This skill allows AI agents to generate and format Markdown tables. It can take data in various forms (e.g., lists, dictionaries) and structure them into well-formatted Markdown table representations suitable for display or documentation. The resulting tables are easily readable and compatible with platforms that support Markdown rendering.
When to use it
- Data Summarization: Presenting structured data from a database query in an organized tabular format within a report.
- Documentation Generation: Automatically creating tables of contents, feature comparisons, or parameter lists for technical documentation.
- Content Creation: Generating comparison charts or other tabular content for blog posts or articles.
- Report Formatting: Transforming raw data into visually appealing and informative reports with clear table structures.
Key capabilities
- Generates Markdown tables from structured data.
- Formats tables with headers and rows.
- Supports various input data formats (lists, dictionaries).
- Creates readable and compatible Markdown output.
Example prompts
- "Create a Markdown table showing the top 5 products by sales."
- "Generate a comparison table of these features: [list of features]."
- “Format this data as a markdown table: [data in list or dictionary format].”
Tips & gotchas
The quality of the generated table depends on the structure and clarity of the input data. Ensure your data is well-organized for optimal results.