serial-dilution-calculator

Generate qPCR/ELISA dilution protocols with precise pipetting steps

3,891 stars

Best use case

serial-dilution-calculator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Generate qPCR/ELISA dilution protocols with precise pipetting steps

Teams using serial-dilution-calculator 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

$curl -o ~/.claude/skills/serial-dilution-calculator/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/aipoch-ai/serial-dilution-calculator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/serial-dilution-calculator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How serial-dilution-calculator Compares

Feature / Agentserial-dilution-calculatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generate qPCR/ELISA dilution protocols with precise pipetting steps

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.

Related Guides

SKILL.md Source

# Serial Dilution Calculator

Step-by-step dilution protocol generator.

## Use Cases
- qPCR standard curves
- ELISA plate setup
- Drug dose responses
- MIC determinations

## Parameters
- `starting_conc`: Stock concentration
- `final_conc`: Target concentration
- `dilution_factor`: Step dilution
- `total_volume`: Per well volume

## Returns
- Pipetting scheme table
- Required volumes
- Plate layout suggestion
- Common pitfall warnings

## Example
"Take 10uL stock + 90uL diluent for 1:10..."

## Risk Assessment

| Risk Indicator | Assessment | Level |
|----------------|------------|-------|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |

## Security Checklist

- [ ] No hardcoded credentials or API keys
- [ ] No unauthorized file system access (../)
- [ ] Output does not expose sensitive information
- [ ] Prompt injection protections in place
- [ ] Input file paths validated (no ../ traversal)
- [ ] Output directory restricted to workspace
- [ ] Script execution in sandboxed environment
- [ ] Error messages sanitized (no stack traces exposed)
- [ ] Dependencies audited
## Prerequisites

No additional Python packages required.

## Evaluation Criteria

### Success Metrics
- [ ] Successfully executes main functionality
- [ ] Output meets quality standards
- [ ] Handles edge cases gracefully
- [ ] Performance is acceptable

### Test Cases
1. **Basic Functionality**: Standard input → Expected output
2. **Edge Case**: Invalid input → Graceful error handling
3. **Performance**: Large dataset → Acceptable processing time

## Lifecycle Status

- **Current Stage**: Draft
- **Next Review Date**: 2026-03-06
- **Known Issues**: None
- **Planned Improvements**: 
  - Performance optimization
  - Additional feature support

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