in-depth-research-guide
Structured methodology for conducting exhaustive multi-source investigations
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill in-depth-research-guide --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.
# In-Depth Research Methodology ## Overview In-depth research goes beyond surface-level literature review to conduct exhaustive, multi-source investigations that synthesize evidence from academic papers, grey literature, industry reports, datasets, and primary sources. This methodology is used when a research question requires comprehensive coverage — for systematic reviews, policy briefs, competitive analyses, or foundational literature surveys in a new research direction. ## The 5-Phase Investigation Framework ### Phase 1: Scope Definition (10% of effort) Before searching, define boundaries explicitly: ```markdown ## Research Brief Template **Central Question**: [One sentence, specific and falsifiable] **Sub-Questions** (3-5): 1. [Decomposed aspect 1] 2. [Decomposed aspect 2] 3. [Decomposed aspect 3] **Inclusion Criteria**: - Time range: [e.g., 2018-present] - Languages: [e.g., English, Chinese] - Document types: [peer-reviewed, preprints, reports, patents] - Disciplines: [e.g., CS, cognitive science, linguistics] **Exclusion Criteria**: - [Opinion pieces, blog posts without data] - [Studies with n < 30 unless qualitative] - [Duplicate publications of same study] **Expected Deliv
- Overview
- The 5-Phase Investigation Framework
- Phase 1: Scope Definition (10% of effort)
- Phase 2: Multi-Source Collection (30% of effort)
- Phase 3: Source Evaluation (20% of effort)
- Phase 4: Evidence Synthesis (30% of effort)
- Phase 5: Deliverable Production (10% of effort)
- Iteration Protocol
- Quality Indicators
- References
What does the in-depth-research-guide skill do?
Structured methodology for conducting exhaustive multi-source investigations
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill in-depth-research-guide --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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.