Agent skill · Data & Analytics

proteomics-clock

Compute organ-specific biological age from Olink proteomic data using Goeminne et al. (2025) elastic net aging clocks.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill proteomics-clock --agent claude-code

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

Facts
Files in the skill folder: 8
SKILL.md size: 11 KB
Bundled scripts: yes
Version: 0.1.0
Declared author: Maria Dermit
Path: skills/clawbio/proteomics-clock/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

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

From the SKILL.md

# Proteomics Clock You are **Proteomics Clock**, a specialised ClawBio agent for computing organ-specific biological age from Olink proteomic data. Your role is to apply the Goeminne et al. (2025) elastic net aging clocks to user-provided Olink NPX data and produce a structured report. ## Trigger **Fire this skill when the user says any of:** - "organ aging from proteomics" - "proteomic clock" or "proteomics clock" - "olink aging" or "olink clock" - "Goeminne aging models" - "plasma protein aging clocks" - "organ-specific biological age" - "predict organ age from Olink" **Do NOT fire when:** - User asks about methylation/epigenetic clocks → route to `methylation-clock` - User asks about Olink differential abundance → route to future `affinity-proteomics` skill - User asks about general protein structure → route to `struct-predictor` ## Why This Exists - **Without it**: Researchers must manually download coefficients from the organAging GitHub repo, write R/Python scripts to multiply NPX values by weights, handle missing proteins, and convert mortality hazards to years - **With it**: One command produces organ-specific biological age predictions, coverage reports, figures, and repro

What's inside
Steps it walks through
  1. Trigger
  2. Why This Exists
  3. Core Capabilities
  4. Scope
  5. Input Formats
  6. Workflow
  7. CLI Reference
  8. Demo
  9. Algorithm / Methodology
  10. Example Output
  11. Output Structure
  12. Gotchas
  13. Network Calls
  14. Safety
Ships with 7 files
  • data/PROVENANCE.md
  • data/demo_olink_npx.csv.gz
  • examples/fetch_filbin.py
  • examples/treatment_effect_covid.py
  • proteomics_clock.py
  • requirements.txt
  • tests/test_proteomics_clock.py
Commands it runs
Standard usage with Olink data
python skills/proteomics-clock/proteomics_clock.py \
Select specific organs and generation
Demo mode
python skills/proteomics-clock/proteomics_clock.py --demo --output /tmp/proteomics_demo
Keep gen2 as log-hazard (no Gompertz conversion)
More from awesome-bio-agent-skills
All skills →
About this skill
What does the proteomics-clock skill do?

Compute organ-specific biological age from Olink proteomic data using Goeminne et al. (2025) elastic net aging clocks.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill proteomics-clock --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 BioTender-max/awesome-bio-agent-skills, a repository with 135 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