samhvw8/dotfiles
Overview
This skill performs focused technical research using YAGNI, KISS, and DRY principles to deliver concise, actionable recommendations. It guides projects through defined phases: scope definition, information gathering, analysis, synthesis, and final recommendations. The output is pragmatic, trade-off aware, and prioritizes maintainability, security, and scalability.
How this skill works
I start by defining a tight research scope: key terms, recency, and evaluation criteria. I perform systematic multi-source searches (official docs, repos, expert content), cross-validate findings, and limit external queries to a small, deliberate number. Analysis extracts patterns, risks, and maturity assessments; synthesis produces clear recommendations, quick-start steps, and next actions. Reports focus on implementable guidance with explicit trade-offs and security/performance notes.
When to use it
- Selecting or evaluating new technologies or libraries
- Comparing architecture approaches or migration paths
- Assessing trade-offs for scalability, security, or maintainability
- Creating a feasibility study or competitive analysis
- Defining implementation priorities that follow YAGNI/KISS/DRY
Best practices
- Define strict scope and recency requirements before researching
- Prioritize official docs, API references, and changelogs for accuracy
- Limit external searches to a few high-quality queries and validate across sources
- Highlight concrete trade-offs and avoid hypothetical solutions without cost estimates
- Produce step-by-step quick starts and code examples to make recommendations actionable
- Flag unresolved questions and migration or deprecation risks
Example use cases
- Evaluate whether to adopt a new web framework for a production service, with migration plan and risks
- Compare managed database options for cost, scalability, and operational burden
- Analyze microservices vs. modular monolith for maintainability and deployment complexity
- Produce security and performance implications for adding a third-party auth provider
- Create a concise feasibility study for implementing event sourcing in an existing app
FAQ
I prioritize materials from the past 12 months by default and will include older sources only when historical context or stability data is required.
How many external searches will you run?
I limit research queries to a small, deliberate set to avoid noise — typically no more than five targeted searches — unless you request broader exploration.
18 skills
This skill conducts focused technology evaluations and architecture analyses, delivering actionable recommendations that balance YAGNI, KISS, and DRY
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