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scienceskillscommon

google-deepmind/science-skills · updated Jun 4, 2026

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$npx skills add https://github.com/google-deepmind/science-skills --skill scienceskillscommon
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### Scienceskillscommon

  • name: "scienceskillscommon"
  • description: "Shared Python package for Science Skills, currently containing http_client -- a unified HTTP client with rate limiting, retries, and exponential backoff. Not a standalone agent skill. Do not invoke di..."
skill.md
name
scienceskillscommon
description
>- Shared Python package for Science Skills, currently containing http_client -- a unified HTTP client with rate limiting, retries, and exponential backoff. Not a standalone agent skill. Do not invoke directly.

Science Skills Common

This is a shared Python package, not an agent skill. Skills import it as:

from science_skills.scienceskillscommon import http_client

Each skill declares this as a dependency in its inline uv script header, so it is installed automatically on first use.

This SKILL.md file is included so that standard skill installers automatically discover and install this package alongside the skills that depend on it.

how to use scienceskillscommon

How to use scienceskillscommon on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add scienceskillscommon
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/google-deepmind/science-skills --skill scienceskillscommon

The skills CLI fetches scienceskillscommon from GitHub repository google-deepmind/science-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/scienceskillscommon

Reload or restart Cursor to activate scienceskillscommon. Access the skill through slash commands (e.g., /scienceskillscommon) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.851 reviews
  • Zara Sethi· Dec 28, 2024

    Registry listing for scienceskillscommon matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Shikha Mishra· Dec 16, 2024

    scienceskillscommon is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Aarav Perez· Nov 19, 2024

    scienceskillscommon reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yusuf Choi· Nov 7, 2024

    scienceskillscommon is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Fatima Taylor· Oct 26, 2024

    scienceskillscommon fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Arjun Farah· Oct 10, 2024

    I recommend scienceskillscommon for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Zaid Yang· Sep 25, 2024

    scienceskillscommon fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hassan Tandon· Sep 21, 2024

    Registry listing for scienceskillscommon matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Evelyn Rao· Sep 13, 2024

    I recommend scienceskillscommon for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Sep 9, 2024

    Keeps context tight: scienceskillscommon is the kind of skill you can hand to a new teammate without a long onboarding doc.

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