Menu
Common pandas and matplotlib patterns for data analysis and visualization
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/langchain-ai/docs --skill pandas-patternsThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Showing SKILL.md
| name | pandas-patterns |
| description | Common pandas and matplotlib patterns for data analysis and visualization |
Use pd.read_csv() for CSV files. Always check df.info() and df.describe() first.
Use matplotlib for bar charts, seaborn for statistical plots.
Save figures with plt.savefig("output.png", dpi=150, bbox_inches="tight").
Write a markdown summary to report.md alongside any generated charts.
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
Use this skill when migrating inline code samples from LangChain docs (MDX files) into external, testable code files that are extracted by this repo’s snippet scripts and used as Mintlify snippets. Applies when extracting code blocks from documentation, creating runnable code samples, using snippet delineators, or wiring snippet output into MDX includes.
Process open LangChain docs integration PRs against the hosted-guide featuring policy (50K monthly downloads or maintainer feature override). Rebase an integration PR, convert to external YAML, feature an integration, or check package downloads for docs eligibility.
Based on SOC occupation classification
