# Biotech Drug Discovery Implementation

> Use when applying drug discovery implementation.

- Skill: `loopyluci/biotech-drug-discovery-implementation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add loopyluci/biotech-drug-discovery-implementation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/loopyluci/biotech-drug-discovery-implementation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- License: MIT
- Author: LoopyLuci (https://skillmd.com/u/loopyluci)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/loopyluci/biotech-drug-discovery-implementation

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## Overview
Discover new drugs.

## When to Use
- Apply domain best practices
- Optimize for scale and security
- Follow established standards

## Key Approaches
1. Define requirements and constraints
2. Choose appropriate tools
3. Implement with modularity
4. Test thoroughly at scale
5. Document decisions
6. Monitor and iterate

## Common Pitfalls
1. Ignoring key constraints
2. Skipping best practices
3. Poor alignment with architecture
4. Inadequate testing coverage
5. Lack of documentation
6. Over-engineering without justification
7. No rollback plan
8. Missing monitoring

## Verification Checklist
- [ ] Requirements validated
- [ ] Standards applied
- [ ] Architecture reviewed
- [ ] Test coverage sufficient
- [ ] Documentation complete
- [ ] Monitoring configured
- [ ] Security reviewed