Python Executor
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
Common pandas and matplotlib patterns for data analysis and visualization
$ npx skills add langchain-ai/docs --skill pandas-patterns -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langchain-ai/docs pandas-patterns --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/code-samples/langchain/skills/pandas-patterns .claude/skills/pandas-patterns && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pandas-patterns" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/langchain/skills/pandas-patterns into .claude/skills/pandas-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pandas-patterns", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/langchain-ai/docs/tree/main/src/code-samples/langchain/skills/pandas-patternsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add langchain-ai/docs --skill pandas-patterns -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langchain-ai/docs pandas-patterns --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/code-samples/langchain/skills/pandas-patterns .agents/skills/pandas-patterns && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pandas-patterns" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/langchain/skills/pandas-patterns into .agents/skills/pandas-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pandas-patterns", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/docs --skill pandas-patterns -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langchain-ai/docs pandas-patterns --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/code-samples/langchain/skills/pandas-patterns .cursor/skills/pandas-patterns && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pandas-patterns" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/langchain/skills/pandas-patterns into .cursor/skills/pandas-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pandas-patterns", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/langchain-ai/docs.git --path src/code-samples/langchain/skills/pandas-patterns--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add langchain-ai/docs --skill pandas-patterns -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langchain-ai/docs pandas-patterns --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/code-samples/langchain/skills/pandas-patterns .gemini/skills/pandas-patterns && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pandas-patterns" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/langchain/skills/pandas-patterns into .gemini/skills/pandas-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pandas-patterns", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install langchain-ai/docs pandas-patternsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add langchain-ai/docs --skill pandas-patterns -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/code-samples/langchain/skills/pandas-patterns .github/skills/pandas-patterns && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pandas-patterns" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/langchain/skills/pandas-patterns into .github/skills/pandas-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pandas-patterns", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/docs --skill pandas-patterns -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langchain-ai/docs pandas-patterns --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/code-samples/langchain/skills/pandas-patterns .opencode/skills/pandas-patterns && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pandas-patterns" agent skill from https://github.com/langchain-ai/docs/tree/main/src/code-samples/langchain/skills/pandas-patterns into .opencode/skills/pandas-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pandas-patterns", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pandas-patternsCommon pandas and matplotlib patterns for data analysis and visualization
Pandas Patterns is an agent skill from langchain-ai/docs, published by the product's own GitHub organization. Common pandas and matplotlib patterns for data analysis and visualization
Its SKILL.md is about 120 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering DataFrames, Data visualization and Data analysis. It works with pandas and Matplotlib. The repository describes itself as: Unified LangChain documentation. The licence is MIT.
Read from SKILL.md and the folder at commit be3028f. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pandas Patterns loads about 117 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 40 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from langchain-ai/docs at commit be3028f, republished under its MIT licence (© langchain-ai). 40 words, ~117 tokens.
.claude/skills/pandas-patterns/SKILL.md (or your agent's skills folder).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.
© langchain-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in src/code-samples/langchain/skills/pandas-patterns of langchain-ai/docs.
Open the folder on GitHubat commit be3028f
Pandas Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pandas Patterns this skilllangchain-ai/docs | 426 | — | ~117 | Automated safety check: Pass | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Analytics Data AnalysisMindrally/skills | 269 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Seabornaipoch/medical-research-skills | 2k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Hybrid-Engine Data Analysiscode-yeongyu/oh-my-openagent | 70k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| SeabornK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.4k | Automated safety check: Notes | BSD-3-Clause |
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
Mindrally/skills
Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks.
aipoch/medical-research-skills
Statistical visualization library integrated with pandas; use it when you need fast EDA of distributions, relationships, and categorical comparisons (e.g., box/violin/pair plots and heatmaps) with…
code-yeongyu/oh-my-openagent
Analyzes CSV, Parquet and JSON data with DuckDB, Polars, numpy and matplotlib, preferring a persistent kernel over repeated one-shot processes.
K-Dense-AI/scientific-agent-skills
Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps.
owid/etl
Access Our World in Data from Python with the owid-catalog library: load chart data, catalog tables or individual indicators as pandas DataFrames that carry their own units, descriptions, sources…
langchain-ai/docs
Add, move, rename, or delete a page on the LangChain docs site.
langchain-ai/docs
Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution.
langchain-ai/docs
A skill your agent uses 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…
langchain-ai/docs
Edit a docs page that already has an open pull request, or revise a page in place.
langchain-ai/docs
Restructure documentation that spans several pages. An agent skill from langchain-ai/docs.
langchain-ai/docs
Write or revise documentation prose so it reads like the rest of this site, in the docs team's shared voice.
Works with
Categories
Common pandas and matplotlib patterns for data analysis and visualization. Pandas Patterns is an agent skill from langchain-ai/docs, published by the product's own GitHub organization.
Pandas Patterns fits situations like: tasks that involve DataFrames; tasks that involve Data visualization; tasks that involve Data analysis.
Run `npx skills add langchain-ai/docs --skill pandas-patterns -a claude-code`. Or copy the skill folder (src/code-samples/langchain/skills/pandas-patterns in langchain-ai/docs) into .claude/skills/pandas-patterns in your project. Claude Code loads it when a task matches its description.
Run `npx skills add langchain-ai/docs --skill pandas-patterns -a codex`. Or copy the skill folder (src/code-samples/langchain/skills/pandas-patterns in langchain-ai/docs) into .agents/skills/pandas-patterns in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langchain-ai/docs --skill pandas-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pandas-patterns, .gemini/skills/pandas-patterns, .github/skills/pandas-patterns and .opencode/skills/pandas-patterns in your project.
SKILL.md names no scripts, command-line tools or credentials: Pandas Patterns is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Pandas Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 117 tokens (SKILL.md is roughly 468 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pandas Patterns: Python Executor (cortega26/chile-hub, 113 stars), Analytics Data Analysis (Mindrally/skills, 269 stars), Seaborn (aipoch/medical-research-skills, 2k stars) and Hybrid-Engine Data Analysis (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
langchain-ai (a GitHub organization, an official publisher) maintains it in langchain-ai/docs, which has 426 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 9, 2026.
Source: langchain-ai/docs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.