Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Search scientific and technical sources for a query and, after the user picks and confirms one direction, write one idea file and its Ideas row.
$ npx skills add probabl-ai/skills --skill search-ml-literature -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install probabl-ai/skills search-ml-literature --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/search-ml-literature .claude/skills/search-ml-literature && 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 "search-ml-literature" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/search-ml-literature into .claude/skills/search-ml-literature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-ml-literature", 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/search-ml-literatureType 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 search-ml-literature -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install probabl-ai/skills search-ml-literature --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/search-ml-literature .agents/skills/search-ml-literature && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "search-ml-literature" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/search-ml-literature into .agents/skills/search-ml-literature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-ml-literature", 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 search-ml-literature -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install probabl-ai/skills search-ml-literature --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/search-ml-literature .cursor/skills/search-ml-literature && 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 "search-ml-literature" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/search-ml-literature into .cursor/skills/search-ml-literature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-ml-literature", 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/search-ml-literature--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 search-ml-literature -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install probabl-ai/skills search-ml-literature --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/search-ml-literature .gemini/skills/search-ml-literature && 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 "search-ml-literature" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/search-ml-literature into .gemini/skills/search-ml-literature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-ml-literature", 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 search-ml-literatureInstalls 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 search-ml-literature -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/search-ml-literature .github/skills/search-ml-literature && 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 "search-ml-literature" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/search-ml-literature into .github/skills/search-ml-literature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-ml-literature", 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 search-ml-literature -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 search-ml-literature --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/search-ml-literature .opencode/skills/search-ml-literature && 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 "search-ml-literature" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/search-ml-literature into .opencode/skills/search-ml-literature/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-ml-literature", 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.
search-ml-literatureSearch scientific and technical sources for a query and, after the user picks and confirms one direction, write one idea file and its Ideas row.
Search ML Literature is an agent skill from probabl-ai/skills. Search scientific and technical sources for a query and, after the user picks and confirms one direction, write one idea file and its Ideas row. Comes after review, beside the backlog. Do not call research-ml-practice. Do not write History, Backlog, or a design note. Do not pick a winner.
Its SKILL.md is about 880 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.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 77bb26c. 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:
pythonFrom 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.
Search ML Literature loads about 880 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 463 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 77bb26c, republished under its BSD-3-Clause licence (© probabl-ai). 463 words, ~880 tokens.
.claude/skills/search-ml-literature/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. Source is a query, not an
artifact the user already named. Show a few directions, then write
one journal/ideas/<slug>.md and one Ideas row for the direction
they confirm. manage-ml-backlog triages that file later.
Details: setup-workspace references/human_facing_prose.md.
Directions and the pick question are scientific options for this
project — not skill ids or the wrapper CLI.
python -m skore_skills status. Read journal/JOURNAL.md
Status, the last History headline, and the EDA summary when
data_analysis/data_analysis.md exists. If the query is too
vague to search, ask once.sklearn.datasets, fetch_*),
and Kaggle slugs. JOURNAL and EDA are context for that
rewrite, not search strings.scratch/research/direction-<slug>.md when that write
can run. Do not paste it into chat.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: literature: <url>
- Triage: open
- Question:
- Why now:
- What changes:
- Open gaps: Open gaps hold transfer risks, disagreements, and domain
claims this dataset does not establish. A library named only
by a source stays in Open gaps until the user asks to add it.
Then upsert one ## Ideas row: Question as plain text, Status
open, Experiment <last History stem, or n/a>, Source
literature: <url>. If that table is missing, insert it
between History and Backlog. Do not rewrite the other
sections. Return the path to the caller.
research-ml-practice.JOURNAL.md edit.B<N> row.env add / pixi add.© 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/search-ml-literature of probabl-ai/skills.
Open the folder on GitHubat commit 77bb26c
Search ML Literature 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 |
|---|---|---|---|---|---|---|
| Search ML Literature this skillprobabl-ai/skills | 138 | — | ~880 | Automated safety check: Pass | BSD-3-Clause | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
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
Record the problem, the deployment setting, the comparison metric, the baseline, and the fold count in the journal before model code.
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/.
Categories
Search scientific and technical sources for a query and, after the user picks and confirms one direction, write one idea file and its Ideas row. Search ML Literature is an agent skill from probabl-ai/skills. Search scientific and technical sources for a query and, after the user picks and confirms one direction, write one idea file and its Ideas row.
Search ML Literature fits situations like: data & Analytics work in your project.
Run `npx skills add probabl-ai/skills --skill search-ml-literature -a claude-code`. Or copy the skill folder (skills/search-ml-literature in probabl-ai/skills) into .claude/skills/search-ml-literature in your project. Claude Code loads it when a task matches its description.
Run `npx skills add probabl-ai/skills --skill search-ml-literature -a codex`. Or copy the skill folder (skills/search-ml-literature in probabl-ai/skills) into .agents/skills/search-ml-literature 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 search-ml-literature -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/search-ml-literature, .gemini/skills/search-ml-literature, .github/skills/search-ml-literature and .opencode/skills/search-ml-literature in your project.
Going by SKILL.md and its folder, Search ML Literature needs the command-line tools its instructions call (python). Our summary lists: Python 3.
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.
Search ML Literature 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 880 tokens (SKILL.md is roughly 3.5k 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 Search ML Literature: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k 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 9, 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.