skills/architecture/SKILL.md
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
npx skillsauth add legendaryabhi/agent-skills-hub architectureInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
"Requirements drive architecture. Trade-offs inform decisions. ADRs capture rationale."
Read ONLY files relevant to the request! Check the content map, find what you need.
| File | Description | When to Read |
|------|-------------|--------------|
| context-discovery.md | Questions to ask, project classification | Starting architecture design |
| trade-off-analysis.md | ADR templates, trade-off framework | Documenting decisions |
| pattern-selection.md | Decision trees, anti-patterns | Choosing patterns |
| examples.md | MVP, SaaS, Enterprise examples | Reference implementations |
| patterns-reference.md | Quick lookup for patterns | Pattern comparison |
| Skill | Use For |
|-------|---------|
| @[skills/database-design] | Database schema design |
| @[skills/api-patterns] | API design patterns |
| @[skills/deployment-procedures] | Deployment architecture |
"Simplicity is the ultimate sophistication."
Before finalizing architecture:
development
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
development
Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and lending systems. Use when building decentralized finance applications or smart contract protocols.
tools
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
testing
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.