Agent skill · Data & Analytics

bio-ribo-seq-ribosome-stalling

Detect ribosome pausing and stalling sites from Ribo-seq data at codon resolution. Use when studying translational regulation, identifying pause sites, or analyzing codon-specific translation dynamics.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-ribo-seq-ribosome-stalling --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 7 KB
Bundled scripts: yes
Path: skills/bio-ribo-seq-ribosome-stalling/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
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

## Version Compatibility Reference examples tested with: BioPython 1.83+, numpy 1.26+, scipy 1.12+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Ribosome Stalling Detection **"Find ribosome pause sites in my data"** → Detect codon-level ribosome stalling and pausing events from Ribo-seq footprint density, identifying positions with abnormally high ribosome occupancy. - Python: `plastid` for codon-resolution density calculation, `scipy` for statistical scoring ## Concept Ribosome stalling/pausing occurs when ribosomes slow or stop at specific codons: - Rare codons (low tRNA availability) - Specific amino acid motifs (polyproline) - Regulatory pause sites (upstream of stress response genes) - Nascent chain interactions ## Calculate Codon-Level Occupancy **Goal:** Quantify ribosome occupancy at each codon position across all transcripts. **Approach:** Map reads to P-sites using a fixed offset, then bin counts into

What's inside
Steps it walks through
  1. Version Compatibility
  2. Concept
  3. Calculate Codon-Level Occupancy
  4. Identify Pause Sites
  5. Codon-Specific Occupancy
  6. Correlate with Codon Usage
  7. Motif Analysis at Pause Sites
  8. Known Pause Motifs
  9. Related Skills
Ships with 2 files
  • examples/detect_stalling.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-ribo-seq-ribosome-stalling skill do?

Detect ribosome pausing and stalling sites from Ribo-seq data at codon resolution. Use when studying translational regulation, identifying pause sites, or analyzing codon-specific translation dynamics.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-ribo-seq-ribosome-stalling --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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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.

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