Debug:Pandas
CheckedIdentifies and suggests fixes for errors in pandas code, improving data analysis workflows.
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 snakeo/claude-debug-and-refactor-skills-plugin --skill debug:pandas -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
snakeo
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 snakeo/claude-debug-and-refactor-skills-plugin at e2e79df88e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e2e79df88e
- Scanned
- 1 file, 381 lines
About this skill
What it does
This skill assists in debugging issues within Pandas DataFrames. It can identify errors, suggest corrections to code snippets, and explain the root cause of problems encountered when working with data manipulation tasks. The agent leverages its understanding of Pandas syntax and common error patterns to provide targeted assistance.
When to use it
- You're encountering an unexpected
TypeErrororValueErrorwhile manipulating a DataFrame. - Your code is producing incorrect results, and you suspect a logic error in your Pandas operations.
- You need help understanding why a specific Pandas function isn’t behaving as expected.
- You are unsure how to handle missing values (
NaN) correctly within your DataFrame.
Key capabilities
- Error identification within Pandas code.
- Suggestion of corrections for faulty code snippets.
- Explanation of error root causes.
- Guidance on handling
NaNvalues in DataFrames.
Example prompts
- "My Pandas code is giving me a
TypeError: can only concatenate str (not "int") to str. Can you help me debug it?" - "I'm getting unexpected results when applying this function to my DataFrame. Can you check for errors?"
- "How do I handle missing values in this Pandas DataFrame?"
Tips & gotchas
- Provide the agent with a clear and concise code snippet that reproduces the error. The more context provided, the better the debugging assistance will be.