Data Table Analysis
NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses for converting researched facts or user-provided data into structured tables by writing code, then running Python/pandas calculations in the job-scoped sandbox.
Package JOURNAL, exploratory data analysis markdown, and design notes into an offline MkDocs site opened via report.html at the workspace root.
$ npx skills add probabl-ai/skills --skill export-ml-site -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install probabl-ai/skills export-ml-site --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/probabl-ai/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/export-ml-site .claude/skills/export-ml-site && 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 "export-ml-site" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-site into .claude/skills/export-ml-site/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-site", 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/probabl-ai/skills/tree/main/skills/export-ml-siteType 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 probabl-ai/skills --skill export-ml-site -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install probabl-ai/skills export-ml-site --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/export-ml-site .agents/skills/export-ml-site && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "export-ml-site" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-site into .agents/skills/export-ml-site/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-site", 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 probabl-ai/skills --skill export-ml-site -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install probabl-ai/skills export-ml-site --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/export-ml-site .cursor/skills/export-ml-site && 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 "export-ml-site" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-site into .cursor/skills/export-ml-site/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-site", 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/probabl-ai/skills.git --path skills/export-ml-site--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 probabl-ai/skills --skill export-ml-site -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install probabl-ai/skills export-ml-site --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/export-ml-site .gemini/skills/export-ml-site && 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 "export-ml-site" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-site into .gemini/skills/export-ml-site/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-site", 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 probabl-ai/skills export-ml-siteInstalls 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 probabl-ai/skills --skill export-ml-site -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/export-ml-site .github/skills/export-ml-site && 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 "export-ml-site" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-site into .github/skills/export-ml-site/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-site", 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 probabl-ai/skills --skill export-ml-site -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install probabl-ai/skills export-ml-site --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/export-ml-site .opencode/skills/export-ml-site && 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 "export-ml-site" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-site into .opencode/skills/export-ml-site/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-site", 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.
export-ml-sitePackage JOURNAL, exploratory data analysis markdown, and design notes into an offline MkDocs site opened via report.html at the workspace root.
Export ML Site is an agent skill from probabl-ai/skills. Package JOURNAL, exploratory data analysis markdown, and design notes into an offline MkDocs site opened via report.html at the workspace root. Embeds existing notebook HTML companions in their associated reports. Never executes Python. Trigger when the user asks for a website, mkdocs, or documentation site.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/evals.json`).
It sits in Data & Analytics, covering Static sites and blogs, Data analysis and Markdown. It works with Python. The repository describes itself as: Tabular Data Science Skills for guardrailing AI Agents. The licence is BSD-3-Clause.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f273d39. 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.
Shell commands in SKILL.md call:
pythongituvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git and uv, which can reach the network depending on how they are called.
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.
Export ML Site loads about 1.2k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 630 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 probabl-ai/skills at commit f273d39, republished under its BSD-3-Clause licence (© probabl-ai). 630 words, ~1,177 tokens.
.claude/skills/export-ml-site/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Details: setup-workspace references/human_facing_prose.md.
Tell the user to open report.html. Do not quote site init /
site build as something they should run.
The site is a derived index of files other skills already write.
Markdown is the report: its figures, TableReport HTML, and existing
converted notebooks (<stem>.nb.html, written only by
export-ml-notebook with notebook convert --html) are embedded
inline. HTML viewers have open-separately and fullscreen controls.
Each experiment design note has one ## Notebooks section:
evaluation first, then audit. The audit viewer is
audit/<stem>.nb.html from notebook convert --html. A missing
file is omitted. Do not use <!-- results-embed: audit -->.
Derived HTML and PNG viewers under scratch/results/<stem>/
(report, checks, metrics, plus extra Display slugs) may be copied
into the staged docs. Core Results headings are Report overview /
Checks / Metrics. ### Metrics is a heading; the scores are the
embedded metrics.html viewer, not a second markdown table.
Extra slugs use <!-- results-embed: <slug> --> under
## Results or ## Method (pipeline is the Method
DataOp report when pipeline/index.html exists, otherwise
the graph file pipeline.html).
Only Markdown and already-generated notebook/HTML viewers are
exported. The gitignored serialized Skore reports/ directory is
private runtime state and is never copied into the site.
On desktop, site pages are in the top bar (experiments in a
scrollable dropdown) and the page contents are in a collapsible
left rail beside a 1200px report column. Mobile uses a drawer.
python -m skore_skills status. Read policy.site.policy.site is null: persist
python -m skore_skills policy set site true. Do not
AskUserQuestion. Then load add-python-package for
mkdocs-material (agent) then
python -m skore_skills site init. Continue to build.policy.site is false: say the documentation site is
off; offer to turn it on. Do not init or build until it is
true.site init (gitignore
only). Later turns only site build.python -m skore_skills site build. Do not run
notebook convert. If site build errors with
mkdocs-material is required, load add-python-package
for mkdocs-material (agent) and build once more. Do not
pixi add / uv add. If that skill is missing, or the
retry still fails, name the error in one line. Name a build
error; the markdown sources remain the record. Tell the user
to open report.html at
the workspace root (double-click; no server). Do not send
them to the markdown instead. Stage owners that just ran
site build must name that launcher (and the stage page:
html/data_analysis.html or html/<stem>.html) in the same
User-facing close.Stage owners that just wrote durable markdown and will ask the user to approve or continue must rebuild the site before that AskUserQuestion / consent stop — not only at End of turn.
policy.site is true and this skill is installed, run
python -m skore_skills site build. Skip in one line
otherwise. If site build errors with mkdocs-material is required, load add-python-package for mkdocs-material
(agent) and build once more. Do not pixi add / uv add.
If that skill is missing, or the retry still fails, name the
error in one line. Name a build error; do not fail the gate..md
path, plus report.html and the stage page
(html/<stem>.html, html/data_analysis.html, or the home
page for JOURNAL.md) when the build ran. A file link is an
addition, never the context.notebook convert, git end-turn, or git commit
on this preview rebuild. Do not re-run site init.site build remain End of turn after the
user closes the stage.git commit or git end-turn.pixi add / uv add; load add-python-package.# %% scripts.reports/.© probabl-ai, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/export-ml-site of probabl-ai/skills.
Open the folder on GitHubat commit f273d39
Export ML Site 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 |
|---|---|---|---|---|---|---|
| Export ML Site this skillprobabl-ai/skills | 138 | — | ~1.2k | Automated safety check: Pass | BSD-3-Clause | |
| Data Table AnalysisNVIDIA-AI-Blueprints/deep-researcher-agent | 885 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Excel and CSV Data Analysisbytedance/deer-flow | 84k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| MatlabzLanqing/codex-claude-academic-skills | 4.7k | 8 repos | ~2.3k | Automated safety check: Notes | GPL-3.0 |
NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses for converting researched facts or user-provided data into structured tables by writing code, then running Python/pandas calculations in the job-scoped sandbox.
bytedance/deer-flow
Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
zLanqing/codex-claude-academic-skills
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.
SenseTime-Copilot/raccoon-dataanalysis-skill
Raccoon (小浣熊) Data Analysis - Remote code interpreter and data visualization service powered by SenseTime.
probabl-ai/skills
Add a Python dependency through the project env manager, or ask the user to install it when env.managed is false.
probabl-ai/skills
Declare the pipeline from data source to predictor as a skrub DataOps graph.
probabl-ai/skills
Evaluate one learner with skore.evaluate. An agent skill from probabl-ai/skills.
probabl-ai/skills
Detect an existing ML workspace or scaffold a fresh one via python -m skoreskills scaffold --package <pkg.
probabl-ai/skills
Read-only audit of one persisted skore report: audit/NN<stem.py (jupytext percent), 1:1 with experiments/ and journal/.
probabl-ai/skills
Owns data understanding before any model is designed. An agent skill from probabl-ai/skills.
Works with
Categories
Package JOURNAL, exploratory data analysis markdown, and design notes into an offline MkDocs site opened via report.html at the workspace root. Export ML Site is an agent skill from probabl-ai/skills.html at the workspace root.
Export ML Site fits situations like: the user asks for a website; documentation site.
Run `npx skills add probabl-ai/skills --skill export-ml-site -a claude-code`. Or copy the skill folder (skills/export-ml-site in probabl-ai/skills) into .claude/skills/export-ml-site in your project. Claude Code loads it when a task matches its description.
Run `npx skills add probabl-ai/skills --skill export-ml-site -a codex`. Or copy the skill folder (skills/export-ml-site in probabl-ai/skills) into .agents/skills/export-ml-site 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 probabl-ai/skills --skill export-ml-site -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/export-ml-site, .gemini/skills/export-ml-site, .github/skills/export-ml-site and .opencode/skills/export-ml-site in your project.
Going by SKILL.md and its folder, Export ML Site needs the command-line tools its instructions call (python, git and uv). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use git and uv, which can reach the network depending on how they are called. 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.
Export ML Site is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Export ML Site: Data Table Analysis (NVIDIA-AI-Blueprints/deep-researcher-agent, 885 stars), Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Pandas Pro (Jeffallan/claude-skills, 12k stars) and Python Executor (cortega26/chile-hub, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
probabl-ai (a GitHub organization) maintains it in probabl-ai/skills, which has 138 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 8, 2026.
Source: probabl-ai/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.