Agent skill · Data & Analytics

latchbio-integration

Build, register, debug, and operate bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or interfaces, moving data, integrating Registry, or launching and monitoring runs.

K-Dense-AIgithub.com/K-Dense-AIGitHub ↗
claude-codecan modify filesships scriptsMIT
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill latchbio-integration --agent claude-code

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

Facts
Files in the skill folder: 11
SKILL.md size: 8 KB
Bundled scripts: yes
Version: 2.0
Allowed tools: ReadWriteEditBash
Requires: Requires network access and a Latch account. The current stable SDK requires Python 3.9+; Python 3.12 is recommended.…
Path: skills/latchbio-integration/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 32,619
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

# LatchBio Integration ## Current Baseline This skill targets **Latch SDK 2.76.8**, released July 10, 2026. The package metadata supports Python 3.9–3.12 and declares Python 3.9+. Treat the installed package and its changelog as authoritative when a guide disagrees with the SDK. Some Latch guides retain older Python ranges or compatibility-specific pre-release pins, especially the Snakemake v2 tutorial. Never combine commands or imports from different tracks without checking their version requirements. ## When to Use Use this skill to: - Create or maintain Python SDK workflows and task graphs - Package and register Python, Nextflow, or Snakemake pipelines - Configure task CPU, memory, storage, GPU, caching, retries, and timeouts - Work with Latch Data through `LPath`, `LatchFile`, `LatchDir`, or the CLI - Read or update Latch Registry projects, tables, and records - Design workflow forms, launch plans, samplesheets, messages, and result links - Stage and debug workflow images with `latch register --staging` and `latch develop` - Launch and monitor workflows through Python or Latch MCP - Discover and use ready-to-run Latch workflows ## Route to the Right Reference Read only the refe

What's inside
Steps it walks through
  1. Current Baseline
  2. When to Use
  3. Route to the Right Reference
  4. Installation and Authentication
  5. Fast Path
  6. Minimal Python Workflow
  7. Recommended Development Lifecycle
  8. Operational Safety
  9. Inspect the Installed SDK
  10. Authoritative Sources
Ships with 10 files
  • references/data-management.md
  • references/latch-mcp.md
  • references/nextflow-snakemake.md
  • references/operations-and-debugging.md
  • references/registry.md
  • references/resource-configuration.md
  • references/ui-and-automation.md
  • references/verified-workflows.md
  • references/workflow-creation.md
  • scripts/inspect_latch_sdk.py
Commands it runs
uv venv --python 3.12
source .venv/bin/activate
uv pip install "latch==2.76.8"
latch login
latch workspace
latch workspace --id 12345
latch init covid-wf --template subprocess
latch register --yes --open covid-wf
latch register --staging .
latch develop .
More from scientific-agent-skills
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About this skill
What does the latchbio-integration skill do?

Build, register, debug, and operate bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or interfaces, moving data, integrating Registry, or launching and monitoring runs.

How do I install it?

Run `npx skills add K-Dense-AI/scientific-agent-skills --skill latchbio-integration --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 K-Dense-AI/scientific-agent-skills, a repository with 32,619 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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