benchling-integration
Skill1 starsChanged 51 days agoNo licenceView on GitHub
Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.
- Reads credentials
- Installs packages
11 other projects use a version of this, 10 of them edited.
Adopted by
Most recently taken up by
- BrightGold70/skillsedited, first seen Nov 8, 2026
- MarieLynneBlock/arcanum-artifexedited, first seen Nov 1, 2026
- davidanthonyn/claude-skillsedited, first seen Oct 20, 2026
- patoangolano/bio-stackedited, first seen Oct 15, 2026
- garri333/Skillsedited, first seen Oct 11, 2026
- wu-yc/LabClawedited, first seen Oct 8, 2026
Used with
Projects with it also use uspto-database, string-database and 3 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
yf8578Skilluspto-database
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Also in 7 projects that use this
Google DeepMindSkillstring-database
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.
Also in 7 projects that use this
refly-aiSkillalpha-vantage
Get financial data from Alpha Vantage. Use when you need to: (1) retrieve stock quotes and prices, (2) get forex or crypto rates, or (3) access market analytics data.
Also in 4 projects that use this
Google DeepMindSkillinterpro-database
Identify domains, families, and sites in proteins; find all proteins in a family or sharing a domain; explore species distribution for a domain; annotate genomes with protein families and GO terms. InterPro combines 14 databases (e.g., Pfam, CDD) into one searchable resource. InterPro-N significantly expands annotation and sequence coverage with deep learning. Includes domain architecture (IDA) search.
Also in 5 projects that use this
- +1 more from google-deepmind
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 10
- wu-yc/LabClaw★ 1.1k32% same
- LeonChaoX/qinyan-academic-skills★ 91035% same
- qinyan-ai/qinyan-academic-skills★ 8035% same
- MarieLynneBlock/arcanum-artifex★ 435% same
- BrightGold70/skills★ 132% same
- garri333/Skills★ 132% same
- uppifyagency/boilerplate-saas-2026★ 135% same
- yf8578/claude-skills-collection★ 132% same
- davidanthonyn/claude-skills★ 035% same
- patoangolano/bio-stack★ 029% same
Wrote their own version · 1
- jaechang-hits/SciAgent-Skills★ 386same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository191 other files it gives its agents.
- adaptyvSkill
- aeonSkill
- alphagenomeSkill
- analytical-method-validationSkill
- anndataSkill
- arboretoSkill
- arborSkill
- astropySkill
- autoskillSkill
- bgpt-paper-searchSkill
- bidsSkill
- biopythonSkill
- bioservicesSkill
- bulk-rnaseqSkill
- cellxgene-censusSkill
- cirqSkill
- citation-managementSkill
- clinical-decision-supportSkill
- clinical-reportsSkill
- cobrapySkill
- consciousness-councilSkill
- daskSkill
- database-lookupSkill
- dataladSkill
- datamolSkill
- deepchemSkill
- deepspot-mSkill
- deeptoolsSkill
- depmapSkill
- dhdna-profilerSkill
- diffdockSkill
- dnanexus-integrationSkill
- docxSkill
- esmSkill
- etetoolkitSkill
- exa-searchSkill
- experimental-designSkill
- exploratory-data-analysisSkill
- flowioSkill
- fluidsimSkill
- folklore-variant-evidenceSkill
- generate-imageSkill
- genimlSkill
- genomic-coordinatesSkill
- genomic-intelligenceSkill
- geomasterSkill
- geopandasSkill
- get-available-resourcesSkill
- ggetSkill
- ginkgo-cloud-labSkill
- glycoengineeringSkill
- gtarsSkill
- histolabSkill
- hugging-scienceSkill
- hypogenicSkill
- hypothesis-generationSkill
- imaging-data-commonsSkill
- infographicsSkill
- iso-standards-readinessSkill
- labarchive-integrationSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. 2 are common, 0 are distinctive, and 3 are very specific to this project.
2
Common
Most of the 11 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

