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Collection · 11 skills

Research Assistant

A research workflow that holds up to scrutiny: plan the search, screen with explicit criteria, read papers critically, keep citations clean, design surveys without leading questions, code qualitative data consistently, and verify every claim against a primary source.

Best for Academics, analysts and anyone who needs conclusions they can defend.

What's inside

Listed in the order we suggest adopting them. You don't call them by name: each skill loads on its own when a request matches it.

  1. Literature Review Reproducible searches, verified sources, argued gaps Research & Analysis literature-review 197 lines
  2. Systematic Reviews Protocol first, PRISMA counts that actually add up Research & Analysis systematic-reviews 178 lines
  3. Paper Analysis Map every claim to its evidence before judging Research & Analysis paper-analysis 160 lines
  4. Citation Management Clean bibliographies built from DOIs, not memory Research & Analysis citation-management 176 lines
  5. Survey Design Questions that map to decisions, samples that hold up Research & Analysis survey-design 167 lines
  6. Qualitative Coding Codebooks, kappa checks and themes backed by quotes Research & Analysis qualitative-coding 163 lines
  7. Statistical Testing The right test, an effect size, honest corrections Data Engineering statistical-testing 174 lines
  8. Reproducible Research One command from raw data to every figure Research & Analysis reproducible-research 204 lines
  9. Fact-Checking Trace every claim to a primary source you opened Research & Analysis fact-checking 162 lines
  10. Market Research TAM you can defend, every number with a source Research & Analysis market-research 162 lines
  11. Academic Writing Papers where every claim matches its evidence Research & Analysis academic-writing 238 lines

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