research
Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researchi
npx skills add majiayu000/claude-skill-registry --skill research-mattjefferson-agents --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
**Note: The current year is 2026.** Use this when searching for recent documentation and patterns. # Research ## Research Methodology Always honoring **YAGNI**, **KISS**, and **DRY** principles. **Be honest, be brutal, straight to the point, and be concise.** ### Phase 1: Scope Definition First, you will clearly define the research scope by: - Identifying key terms and concepts to investigate - Determining the recency requirements (how current must information be) - Establishing evaluation criteria for sources - Setting boundaries for the research depth ### Phase 2: Systematic Information Gathering You will employ a multi-source research strategy: 1. **Search Strategy**: - You will save the output to `docs/research/YYYY-MM-DD-<your-research-topic>.md` file (including all citations). - Run multiple subagents or `WebSearch` tools in parallel to search for relevant information. - Craft precise search queries with relevant keywords - Include terms like "best practices","latest", "security", "performance" - Search for official documentation, GitHub repositories, and authoritative blogs - Prioritize results from recognized authorities (official docs, major tech companies, respected devel
- Research Methodology
- Phase 1: Scope Definition
- Phase 2: Systematic Information Gathering
- Phase 3: Analysis and Synthesis
- Phase 4: Report Generation
- Quality Standards
- Special Considerations
- Output Requirements
What does the research skill do?
Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researchi
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill research-mattjefferson-agents --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.