Scaffold Example
comet-ml/comet-examples
Scaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/.
High-performance numerical computing and machine learning workflows using JAX.
Install Jax Skills
$ npx skills add benchflow-ai/skillsbench --skill jax-skills -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench jax-skills --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/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/jax-computing-basics/environment/skills/jax-skills .claude/skills/jax-skills && 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 "jax-skills" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/jax-computing-basics/environment/skills/jax-skills into .claude/skills/jax-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jax-skills", 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/benchflow-ai/skillsbench/tree/main/tasks/jax-computing-basics/environment/skills/jax-skillsType 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 benchflow-ai/skillsbench --skill jax-skills -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench jax-skills --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/jax-computing-basics/environment/skills/jax-skills .agents/skills/jax-skills && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jax-skills" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/jax-computing-basics/environment/skills/jax-skills into .agents/skills/jax-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jax-skills", 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 benchflow-ai/skillsbench --skill jax-skills -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench jax-skills --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/jax-computing-basics/environment/skills/jax-skills .cursor/skills/jax-skills && 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 "jax-skills" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/jax-computing-basics/environment/skills/jax-skills into .cursor/skills/jax-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jax-skills", 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/benchflow-ai/skillsbench.git --path tasks/jax-computing-basics/environment/skills/jax-skills--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 benchflow-ai/skillsbench --skill jax-skills -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench jax-skills --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/jax-computing-basics/environment/skills/jax-skills .gemini/skills/jax-skills && 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 "jax-skills" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/jax-computing-basics/environment/skills/jax-skills into .gemini/skills/jax-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jax-skills", 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 benchflow-ai/skillsbench jax-skillsInstalls 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 benchflow-ai/skillsbench --skill jax-skills -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/jax-computing-basics/environment/skills/jax-skills .github/skills/jax-skills && 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 "jax-skills" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/jax-computing-basics/environment/skills/jax-skills into .github/skills/jax-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jax-skills", 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 benchflow-ai/skillsbench --skill jax-skills -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench jax-skills --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/jax-computing-basics/environment/skills/jax-skills .opencode/skills/jax-skills && 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 "jax-skills" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/jax-computing-basics/environment/skills/jax-skills into .opencode/skills/jax-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jax-skills", 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.
Facts
- Skill name
jax-skills- GitHub stars
- 1.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 386 words
- Files
- 9
- Skills in repo
- 189
- Repo updated
- First seen
- Licence
- Proprietary
At a glance
High-performance numerical computing and machine learning workflows using JAX.
- Works in 5 steps: Loading and Saving Arrays → Map and Reduce Operations → Gradients and Optimization → …
- Tasks that involve Deep learning
- SKILL.md covers General Guidelines, 1. Loading and Saving Arrays, 2. Map and Reduce Operations and 3. Gradients and Optimization, plus 2 more sections
- Runs Python scripts from its folder
What it does
Jax Skills is an agent skill from benchflow-ai/skillsbench. High-performance numerical computing and machine learning workflows using JAX. Supports array operations, automatic differentiation, JIT compilation, RNN-style scans, map/reduce operations, and gradient computations. Ideal for scientific computing, ML models, and dynamic array transformations.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `jax_skills.py`).
It sits in AI & LLM Engineering, covering Deep learning and Machine learning. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them.
When your agent uses it
- Tasks that involve Deep learning
- Tasks that involve Machine learning
Example prompts
- “/jax-skills”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Loading and Saving Arrays
- Map and Reduce Operations
- Gradients and Optimization
- Recurrent Scan
- JIT Compilation
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Jax Skills loads about 1.1k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 386 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.
Safety
Auto-check passed
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.
SKILL.md
Its licence (Proprietary) doesn't allow us to republish the file, so here is its outline and opening line. It has 386 words (~1,051 tokens).
“Description: Load a JAX-compatible array from a file. Supports .npy and .npz. Parameters:”
- name
- jax-skills
- license
- Proprietary. LICENSE.txt has complete terms
Files
SKILL.md and 8 other files in tasks/jax-computing-basics/environment/skills/jax-skills of benchflow-ai/skillsbench.
- SKILL.md
- jax_grad.skill
- jax_jit.skill
- jax_load.skill
- jax_map.skill
- jax_reduce.skill
- jax_save.skill
- jax_scan.skill
- jax_skills.py
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Jax Skills 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 |
|---|---|---|---|---|---|---|
| Jax Skills this skillbenchflow-ai/skillsbench | 1.8k | — | ~1.1k | Automated safety check: Pass | Proprietary | |
| Scaffold Examplecomet-ml/comet-examples | 174 | — | ~1k | Automated safety check: Pass | None | |
| Christopher ManningK-Dense-AI/mimeo | 282 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Gpt2 CodegolflazyFrogLOL/Harness_Engineering | 128 | — | ~1.8k | Automated safety check: Pass | None | |
| Ian GoodfellowK-Dense-AI/mimeo | 282 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Ilya SutskeverK-Dense-AI/mimeo | 282 | — | ~1.7k | Automated safety check: Pass | MIT |
Similar skills
Christopher Manning
K-Dense-AI/mimeo
Applies the reasoning, architectural principles, and AI philosophy of Christopher Manning (natural language processing expert, Stanford University, director of Stanford AI Lab).
Gpt2 Codegolf
lazyFrogLOL/Harness_Engineering
Guidance for implementing neural network inference (like GPT-2) under extreme code size constraints.
Ian Goodfellow
K-Dense-AI/mimeo
A skill your agent uses when reasoning about generative AI, adversarial machine learning, neural network security, algorithmic fairness, or deep learning fundamentals.
Ilya Sutskever
K-Dense-AI/mimeo
Applies the reasoning style of Ilya Sutskever (deep learning pioneer, co-founder of OpenAI and Safe Superintelligence Inc.) to problems involving AI architecture, scaling laws, alignment, and…
- Official
Databricks ML Training
databricks/databricks-agent-skills
Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills.
More from benchflow-ai/skillsbench
All 189 skills in this repoLean4 Memories
benchflow-ai/skillsbench
This skill should be used when working on Lean 4 formalization projects to maintain persistent memory of successful proof patterns, failed approaches, project conventions, and user preferences…
Senior Data Engineer
benchflow-ai/skillsbench
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure.
Ac Branch Pi Model
benchflow-ai/skillsbench
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching acopf-math-model.md and MATPOWER branch fields.
Civ6lib
benchflow-ai/skillsbench
Civilization 6 district mechanics library. An agent skill from benchflow-ai/skillsbench.
D3 Visualization
benchflow-ai/skillsbench
Build deterministic, verifiable data visualizations with D3.js (v6).
Dc Power Flow
benchflow-ai/skillsbench
DC power flow analysis for power systems. An agent skill from benchflow-ai/skillsbench.
Related
Categories
Questions about Jax Skills
What does Jax Skills do?
High-performance numerical computing and machine learning workflows using JAX. Jax Skills is an agent skill from benchflow-ai/skillsbench. High-performance numerical computing and machine learning workflows using JAX.
When should I use Jax Skills?
Jax Skills fits situations like: tasks that involve Deep learning; tasks that involve Machine learning.
How do I install Jax Skills in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill jax-skills -a claude-code`. Or copy the skill folder (tasks/jax-computing-basics/environment/skills/jax-skills in benchflow-ai/skillsbench) into .claude/skills/jax-skills in your project. Claude Code loads it when a task matches its description.
How do I install Jax Skills in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill jax-skills -a codex`. Or copy the skill folder (tasks/jax-computing-basics/environment/skills/jax-skills in benchflow-ai/skillsbench) into .agents/skills/jax-skills in your project. Codex loads it when a task matches its description.
Can I use Jax Skills in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add benchflow-ai/skillsbench --skill jax-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jax-skills, .gemini/skills/jax-skills, .github/skills/jax-skills and .opencode/skills/jax-skills in your project.
What does Jax Skills need to run?
Going by SKILL.md and its folder, Jax Skills needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Jax Skills access the network?
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.
Is Jax Skills safe to install?
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.
What licence does Jax Skills use?
Jax Skills carries a proprietary licence (declared in SKILL.md). It is published on GitHub, but it is not open source: read the licence file before using or sharing it.
How many tokens does Jax Skills use?
About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Jax Skills?
Skills that share tags, products or a category with Jax Skills: Scaffold Example (comet-ml/comet-examples, 174 stars), Christopher Manning (K-Dense-AI/mimeo, 282 stars), Gpt2 Codegolf (lazyFrogLOL/Harness_Engineering, 128 stars) and Ian Goodfellow (K-Dense-AI/mimeo, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jax Skills?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,835 GitHub stars. The repository holds 189 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.