Agent skill · Data & Analytics

pnas-data

Use to build PNAS's Data Availability Statement and deposition plan — mandatory deposition of data in an approved repository at submission, accession numbers/DOIs, public + archived code, and materials sharing. "Available on request" is not sufficient for primary data.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pnas-data --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: PNAS-Skills/skills/pnas-data/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Data & Code Availability (pnas-data) ## When to trigger - There is no **Data Availability Statement**, or it says "available on request". - Sequences/structures/datasets are not deposited or have no accession numbers. - Custom analysis code is not in a public, archived repository. - Unique reagents/strains/cell lines have no sharing plan. ## PNAS's standard (the bar) PNAS requires a **Data Availability Statement** in every research article, and that the **data and materials needed to support the conclusions be deposited and available at the time of submission/publication**. For data types with an established public repository, **deposition is required**, and the **accession numbers/DOIs go in the Data Availability Statement**. **"Available upon request" is not sufficient for the primary data** underlying the figures and conclusions. ## Deposit in approved repositories (with accessions) | Data type | Deposit in (examples) | |------------------------------------|--------------------------------------------| | Nucleotide / genome sequences | GenBank / ENA / DDBJ | | High-throughput sequencing | GEO / SRA / ArrayExpress | | Protein/macromolecular structures | PDB; maps → EMDB | | Pro

What's inside
Steps it walks through
  1. When to trigger
  2. PNAS's standard (the bar)
  3. Deposit in approved repositories (with accessions)
  4. Data Availability Statement (template)
  5. Where the statement and the data live
  6. Materials & reagents
  7. Ethics & compliance (as applicable)
  8. Output format
  9. Anti-patterns
More from Awesome-Journal-Skills
All skills →
About this skill
What does the pnas-data skill do?

Use to build PNAS's Data Availability Statement and deposition plan — mandatory deposition of data in an approved repository at submission, accession numbers/DOIs, public + archived code, and materials sharing. "Available on request" is not sufficient for primary data.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pnas-data --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going