Agent skill · Code Review & Quality

sds-gel-review

Review SDS-PAGE or protein purification gel images using DNA sequence, protein sequence, base-pair length, expected protein size, and lane labels. Use when the user wants to judge whether a gel ran well, whether the main band matches the expected product, or whether there may be impurities, degradation, aggregation, or low expression.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill sds-gel-review --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/bioclaw/sds-gel-review/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

# SDS-Gel Review Use this skill when the user provides a gel image plus any of: - DNA sequence - protein sequence - coding sequence length in bp - expected protein size in kDa - tag, construct, host, purification step, or lane labels This is an interpretation skill, not a definitive assay. Distinguish what is directly observed from what is inferred. ## Main goal Given a gel image and partial sequence/context, produce a practical lab-style judgment: - did the gel run cleanly or poorly - is there a plausible main band - does the main band roughly match the expected target - are there obvious impurities, degradation, smearing, or aggregation - what extra information would most improve confidence ## Inputs to request or infer Collect as many of these as possible before judging: - gel image - whether the image is SDS-PAGE, western blot, or native gel - DNA sequence or protein sequence - if only bp is given, whether it is coding sequence length - expected protein name - expected molecular weight in kDa - expression host - tag or fusion partner - purification step or lane meaning - whether reducing conditions were used - whether a ladder is visible If some are missing, continue with a low

What's inside
Steps it walks through
  1. Main goal
  2. Inputs to request or infer
  3. How to reason
  4. 1. Normalize the sequence information
  5. 2. Read the gel image conservatively
  6. 3. Compare expectation vs observation
  7. 4. Explain confidence
  8. Important guardrails
  9. Output format
  10. Overall judgment
  11. What I can directly see
  12. Expected size estimate
  13. Does the observed band roughly match?
  14. Main concerns
More from awesome-bio-agent-skills
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About this skill
What does the sds-gel-review skill do?

Review SDS-PAGE or protein purification gel images using DNA sequence, protein sequence, base-pair length, expected protein size, and lane labels. Use when the user wants to judge whether a gel ran well, whether the main band matches the expected product, or whether there may be impurities, degradation, aggregation, or low expression.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill sds-gel-review --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