### Scienceskillscommon
Works with
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..."
| 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. |
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.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionscienceskillscommonExecute the skills CLI command in your project's root directory to begin installation:
Fetches scienceskillscommon from google-deepmind/science-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate scienceskillscommon. Access via /scienceskillscommon in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
google-deepmind/science-skills
google-deepmind/science-skills
google-deepmind/science-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
Registry listing for scienceskillscommon matched our evaluation — installs cleanly and behaves as described in the markdown.
scienceskillscommon is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
scienceskillscommon reduced setup friction for our internal harness; good balance of opinion and flexibility.
scienceskillscommon is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
scienceskillscommon fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend scienceskillscommon for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
scienceskillscommon fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for scienceskillscommon matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend scienceskillscommon for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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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