Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Shape an idea the user already has, or answer a project question, and write one idea file and its Ideas row after they confirm.
$ npx skills add probabl-ai/skills --skill shape-user-idea -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install probabl-ai/skills shape-user-idea --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/shape-user-idea .claude/skills/shape-user-idea && 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 "shape-user-idea" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/shape-user-idea into .claude/skills/shape-user-idea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shape-user-idea", 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/shape-user-ideaType 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 shape-user-idea -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install probabl-ai/skills shape-user-idea --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/shape-user-idea .agents/skills/shape-user-idea && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "shape-user-idea" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/shape-user-idea into .agents/skills/shape-user-idea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shape-user-idea", 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 shape-user-idea -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install probabl-ai/skills shape-user-idea --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/shape-user-idea .cursor/skills/shape-user-idea && 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 "shape-user-idea" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/shape-user-idea into .cursor/skills/shape-user-idea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shape-user-idea", 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/shape-user-idea--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 shape-user-idea -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install probabl-ai/skills shape-user-idea --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/shape-user-idea .gemini/skills/shape-user-idea && 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 "shape-user-idea" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/shape-user-idea into .gemini/skills/shape-user-idea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shape-user-idea", 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 shape-user-ideaInstalls 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 shape-user-idea -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/shape-user-idea .github/skills/shape-user-idea && 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 "shape-user-idea" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/shape-user-idea into .github/skills/shape-user-idea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shape-user-idea", 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 shape-user-idea -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 shape-user-idea --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/shape-user-idea .opencode/skills/shape-user-idea && 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 "shape-user-idea" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/shape-user-idea into .opencode/skills/shape-user-idea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shape-user-idea", 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.
shape-user-ideaShape an idea the user already has, or answer a project question, and write one idea file and its Ideas row after they confirm.
Shape User Idea is an agent skill from probabl-ai/skills. Shape an idea the user already has, or answer a project question, and write one idea file and its Ideas row after they confirm. A topic with no artifact belongs to search-ml-literature. Do not write History, Backlog, or a design note. Do not pick a backlog row.
Its SKILL.md is about 980 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. The repository describes itself as: Tabular Data Science Skills for guardrailing AI Agents. The licence is BSD-3-Clause.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 73564e4. 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:
ghpythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, 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.
Shape User Idea loads about 980 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 533 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 73564e4, republished under its BSD-3-Clause licence (© probabl-ai). 533 words, ~980 tokens.
.claude/skills/shape-user-idea/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Comes after review, beside the backlog. The user already has an
idea, a question, or an artifact. This skill writes
journal/ideas/<slug>.md and one Ideas row only after they
confirm. The backlog triages that file later.
Details: setup-workspace references/human_facing_prose.md.
Questions and the confirmation paragraph describe this idea in
data-science terms — not skill ids or the wrapper CLI.
python -m skore_skills status. Read journal/JOURNAL.md
Status and History, and data_analysis/data_analysis.md when it
exists.n/a. Write no idea file and
return to the caller.search-ml-literature only if
status.skills.search-ml-literature is true. Otherwise
one-line skip. Do not WebSearch for a paper from here.WebFetch the page. GitHub issue: gh auth status first;
if unauthenticated, ask the user to run gh auth login or
paste the body. Then gh issue view. Resolution: explicit
URL, then org/repo#N, then bare #N only in the current
gh repo — otherwise ask. Spec or notes file: read that
file only.journal/JOURNAL.md
Status, ask before writing the file. A library the source names and
the user has not agreed to add stays in Open gaps. A domain
claim this dataset does not establish stays in Open gaps.journal/ideas/<slug>.md and upsert its Ideas
row. Do not create a design note. Do not edit History,
Backlog, or Status. Write journal/ideas/<slug>.md:# <slug>
- Experiment: <last History stem, or n/a>
- Source: user
- Triage: open
- Question:
- Why now:
- What changes:
- Open gaps: Why now carries the quote, URL, or path. No acceptance
criteria. Then upsert one ## Ideas row: Question as plain
text, Status open, Experiment <last History stem, or n/a>,
Source user. If that table is missing, insert it between
History and Backlog. Do not rewrite the other sections.
Return the path to the caller (manage-ml-backlog or
triage-ml-task).
JOURNAL.md edit.B<N> row. The backlog triages the file.WebSearch for a topic with no artifact.add-python-package when that skill
is installed. Do not pixi add from here.© 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/shape-user-idea of probabl-ai/skills.
Open the folder on GitHubat commit 73564e4
Shape User Idea 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 |
|---|---|---|---|---|---|---|
| Shape User Idea this skillprobabl-ai/skills | 137 | — | ~980 | Automated safety check: Pass | BSD-3-Clause | |
| Exploratory Data Analysisspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Pass | MIT | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.6k | 18 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.6k | 17 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 83k | 2 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
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.
Categories
Shape an idea the user already has, or answer a project question, and write one idea file and its Ideas row after they confirm. Shape User Idea is an agent skill from probabl-ai/skills. Shape an idea the user already has, or answer a project question, and write one idea file and its Ideas row after they confirm.
Shape User Idea fits situations like: data & Analytics work in your project.
Run `npx skills add probabl-ai/skills --skill shape-user-idea -a claude-code`. Or copy the skill folder (skills/shape-user-idea in probabl-ai/skills) into .claude/skills/shape-user-idea in your project. Claude Code loads it when a task matches its description.
Run `npx skills add probabl-ai/skills --skill shape-user-idea -a codex`. Or copy the skill folder (skills/shape-user-idea in probabl-ai/skills) into .agents/skills/shape-user-idea 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 shape-user-idea -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shape-user-idea, .gemini/skills/shape-user-idea, .github/skills/shape-user-idea and .opencode/skills/shape-user-idea in your project.
Going by SKILL.md and its folder, Shape User Idea needs the command-line tools its instructions call (gh and python). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use gh, 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.
Shape User Idea 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 980 tokens (SKILL.md is roughly 3.9k 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 Shape User Idea: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars) and Chart Visualization (bytedance/deer-flow, 83k 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 137 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 7, 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.