### String Database
Works with
name: "string-database"
description: "Query the STRING database for protein-protein interactions (PPIs), functional enrichment, and homology. Use when the user asks about interactions between specific proteins, interaction evidence, confi..."
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstring-databaseExecute the skills CLI command in your project's root directory to begin installation:
Fetches string-database 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 string-database. Access via /string-database 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.
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Save 3-5 hours per week on routine tasks
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Explain concepts, provide examples, suggest learning resources
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| name | string-database |
| description | > Query the STRING database for protein-protein interactions (PPIs), functional enrichment, and homology. Use when the user asks about interactions between specific proteins, interaction evidence, confidence scores, protein interaction partners, or pathway enrichments. |
This skill allows you to query the STRING database programmatically using a bundled Python CLI wrapper.
uv: Read the uv skill and follow its Setup instructions to ensure
uv is installed and on PATH.--output <file.tsv> is required.
Never read large outputs into context. Instead use jq, python or file
operations (grep, head) to process large output.map command for this.The CLI is at scripts/string_cli.py and should be run using uv run:
uv run scripts/string_cli.py <command> [options] --output /tmp/out.tsv
Read the following reference files based on the user's request:
To begin, read the reference file most appropriate to the current task to discover the correct CLI command.
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
We added string-database from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
string-database has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: string-database is the kind of skill you can hand to a new teammate without a long onboarding doc.
string-database fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in string-database — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: string-database is focused, and the summary matches what you get after install.
string-database is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in string-database — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
string-database is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added string-database from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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