Skills for Researchers
One kit for the whole study, question to reproducibility.
Turns your AI into an evidence kit-builder — scopes ten skills along the evidence chain, from literature triage and analysis through figures, write-up, and reproducibility, each held to the same quality bar and composed into one study workflow.

Install it in 3 steps
No sign-up. No CLI tools. Pick your AI, copy one line, paste it over.
Prefer doing it yourself? Buy the skill ($4.99), download the ZIP from your checkout confirmation, unzip it into the directory shown above, restart your AI session — same result. Already bought it? Your AI assistant can download it for you.
What’s inside
One SKILL.md (the playbook) + one starter template. A preview:
Skills for Researchers
When to use
- Your literature review is a folder of PDFs with filenames like "final_v3_REAL.pdf" and no record of what you kept or why
- Analysis decisions live in your head — which exclusions, which model, which sensitivity checks — so nobody, including future you, can reproduce them
- Figures get remade for every draft because the numbers behind them were never pinned down
- You want one kit that covers a whole study — question, literature, analysis, figures, write-up, reproducibility — to a single standard
- You're collaborating or supervising and need the study's methods written down so someone else can check or extend them
Workflow
- Audit a real study (input: one study you ran or are running → output: study inventory)
Pick a study you actually worked on and lay out everything it involved: the research question, search strategy, screened papers, extraction sheet, analysis code or steps, figures, drafts, and whatever reproducibility record exists (if any). Note where the study wobbled — papers re-screened because inclusion criteria were never written down, analyses rerun because an exclusion wasn't logged, a figure whose numbers nobody can regenerate. The audit decides what the kit must contain; a kit built for an ideal lab gets abandoned at the first deadline. - Scope the kit around the evidence chain (input: study inventory → output: kit scope)
A researcher's kit has one spine: question → literature → analysis → figures → write-up → reproducibility, where every later link must be traceable to the earlier ones. Scope ten skills around that spine: research question framer, search strategy builder, inclusion/exclusion screener, extraction sheet designer, analysis planner, figure maker, results writer, methods writer, reproducibility checker, and peer-review responder. Each skill owns exactly one artifact. Anything outside the chain — citation-count chasing, journal targeting — is a distraction; cut it. A kit that produces a polished write-up nobody can trace back to its data is a kit that manufactures doubt. - Set the quality bar (input: kit scope → output: quality standard)
Every skill in the kit must meet the same bar: every inclusion or exclusion decision cites the criterion it applied; every analysis choice names the alternative and why it was rejected; every figure states its data source, sample size, and what the reader should conclude; every methods paragraph is detailed enough that a competent peer could repeat the step. Write the bar as a checklist and run each skill's first output through it. A kit where the write-up is elegant and the analysis log is empty will not survive review — and shouldn't.
Template preview
Skills for Researchers — Kit Template
One kit = ten skills along the evidence chain. Fill this in from one real study, then build in study order.
1. Study inventory (one study you ran or are running)
Study: {title / question} | Design: {e.g. systematic review / experiment / survey / qualitative}
Wobble found: {e.g. papers re-screened — criteria never written down; figure numbers unregenerable}
2. Kit scope (ten skills, one artifact each)
Cut list (outside the chain): {e.g. citation-count chasing, journal targeting}


