C✳CODEZ.WIN
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Localized reading guide

startPurpose, usage and source

Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.

Source retrieved:

Source repository
anthropics/knowledge-work-plugins
SKILL.md
bio-research/skills/start/SKILL.md
Repository stars
34,049
Repository updated
2026-10-30
Categories
research
Last collected

License: License file needs review

Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.

The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.

What this Skill does

Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.

How the upstream workflow works

Step 5: Ask How to Help

Ask the researcher what they're working on today. Suggest starting points based on common workflows: Literature review — "Search ~~literature database for recent papers on [topic]" Analyze sequencing data — "Run QC on my single-cell data" or "Set up an RNA-seq pipeline" Drug discovery — "Search ~~chemical database for compounds targeting [protein]" or "Find drug targets for [disease]"

Upstream passage · L69 ↗

Step 1: Welcome

Display this welcome message:

Upstream passage · L12 ↗

Step 2: Check Available MCP Servers

Test which MCP servers are connected by listing available tools. Group the results: Literature & Data Sources: ~~literature database — biomedical literature search ~~literature database — preprint access (biology and medicine)

Upstream passage · L24 ↗
Upstream passage · ↗
Bio-Research Plugin

Your AI-powered research assistant for the life sciences. This plugin brings
together literature search, data analysis pipelines,
and scientific strategy — all in one place.

Requirements and setup

Step 4: Optional Setup — Binary MCP Servers

Mention that two additional MCP servers are available as separate installations: ~~genomics platform — Access cloud analysis data and workflows Install: Download txg-node.mcpb from https://github.com/10XGenomics/txg-mcp/releases

Upstream passage · L58 ↗

Limits and quality checks

No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.

Start with a safe trial

  1. Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
  2. Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
  3. Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
  4. Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.

Skill format and directory specification ↗

Read further in the source

Translation and scope

This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.

This introduction refers to the pinned version below; current repository activity and collection time are shown separately.

Source retrieved
Source commit
2574e29377c7173d0cecffef29a6ecbd7f8ccb5d
Source SHA-256
6016fe5c28952feef14ac851134b35b56a1c86614d9163d21fb82205d7e7694b
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