salmon-quantifier
Salmon pseudo-alignment skill for fast and accurate transcript quantification
Profile →npx skills add a5c-ai/babysitter --skill salmon-quantifier --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Salmon Quantifier Skill ## Purpose Enable Salmon pseudo-alignment for fast and accurate transcript quantification. ## Capabilities - Selective alignment mode - GC bias correction - Mapping rate assessment - Bootstrap uncertainty estimation - Multi-mapping resolution - Decoy-aware indexing ## Usage Guidelines - Build decoy-aware indices for accuracy - Enable GC bias correction - Use selective alignment for improved accuracy - Generate bootstraps for uncertainty estimation - Validate mapping rates against expectations - Document index and parameter versions ## Dependencies - Salmon - kallisto - RSEM ## Process Integration - RNA-seq Differential Expression Analysis (rnaseq-differential-expression) - Single-Cell RNA-seq Analysis (scrnaseq-analysis)
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the salmon-quantifier skill do?
Salmon pseudo-alignment skill for fast and accurate transcript quantification
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill salmon-quantifier --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 a5c-ai/babysitter, a repository with 1,642 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.