Protocol Writing — Reproducible Lab Protocols & SOPs
## Overview
Best use case
Protocol Writing — Reproducible Lab Protocols & SOPs is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## Overview
Teams using Protocol Writing — Reproducible Lab Protocols & SOPs should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/protocol-writing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Protocol Writing — Reproducible Lab Protocols & SOPs Compares
| Feature / Agent | Protocol Writing — Reproducible Lab Protocols & SOPs | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## Overview
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Protocol Writing — Reproducible Lab Protocols & SOPs ## Overview Write clear, reproducible experimental protocols and Standard Operating Procedures (SOPs) for any scientific discipline. ## Structure 1. **Title and Version** — Protocol name, version number, date, author 2. **Purpose** — What this protocol achieves and when to use it 3. **Safety** — Hazards, PPE requirements, waste disposal 4. **Materials** — Exact reagents (catalog numbers, lot numbers), equipment, consumables 5. **Preparation** — Buffer recipes, stock solutions, equipment setup 6. **Procedure** — Numbered steps with exact quantities, temperatures, times, speeds 7. **Quality Control** — Expected results, acceptance criteria, troubleshooting 8. **Data Recording** — What to record, where, in what format 9. **References** — Published methods this protocol is based on ## Key Principles - **Exact quantities**: "Add 2.5 mL" not "add some" - **Catalog numbers**: Every reagent identified by manufacturer and catalog number - **Time precision**: "Incubate for 30 min at 37°C" not "incubate for a while" - **Critical steps**: Mark steps where deviation causes failure - **Troubleshooting table**: Common problems and solutions - **Version control**: Track changes between protocol versions
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