Agent skill · AI & Agents

megahit-assembler

MEGAHIT metagenomic assembly skill for reconstructing genomes from short reads

a5c-ai1,642★ · 1 repos on radarProfile →
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill megahit-assembler --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 1.0
Allowed tools: -Read-Write-Glob-Grep-Edit-WebFetch
Path: library/specializations/domains/science/bioinformatics/skills/megahit-assembler/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

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

From the SKILL.md

# MEGAHIT Assembler Skill ## Purpose Enable MEGAHIT metagenomic assembly for reconstructing genomes from short reads. ## Capabilities - Memory-efficient assembly - Multiple k-mer strategies - Contig quality assessment - Large dataset handling - Iterative assembly refinement - Assembly graph analysis ## Usage Guidelines - Select k-mer strategy based on coverage - Assess contig quality metrics - Handle large datasets efficiently - Consider iterative refinement - Bin contigs for MAG recovery - Document assembly parameters ## Dependencies - MEGAHIT - metaSPAdes - IDBA-UD ## Process Integration - Shotgun Metagenomics Pipeline (shotgun-metagenomics)

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. Dependencies
  5. Process Integration
More from babysitter
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About this skill
What does the megahit-assembler skill do?

MEGAHIT metagenomic assembly skill for reconstructing genomes from short reads

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill megahit-assembler --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.

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