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Literature review

Skill gioviat/research-toolkit/skills/literature-review

Use when surveying the state of the art on a topic, gathering related work, checking whether an idea has already been done, or comparing existing methods. Trigger on "what's the SOTA", "survey the literature", "related work on", "has anyone done", "find papers on", "is this novel".From its SKILL.md

Install
npx -y skills add gioviat/research-toolkit --skill literature-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.5 KB, as published. Nobody here has run it

Literature review

Before searching

  • State the exact question the survey answers: task, setting, constraints ("parameter-efficient finetuning of sub-1B LLMs", not "efficient finetuning").
  • State the recency window and why (e.g. "2023 onward; earlier work covered by survey X").
  • State the inclusion criteria, so omissions are auditable.

Search procedure

  1. Query multiple sources, not one: web search where available, plus direct API queries —
    • arXiv: curl -sL "https://export.arxiv.org/api/query?search_query=all:%22<terms>%22&max_results=20"
    • Semantic Scholar: curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query=<terms>&fields=title,year,venue,abstract,citationCount,externalIds" — works without a key but rate-limits (HTTP 429); back off and retry, don't drop the source silently.
  2. Use several distinct query formulations; different communities name the same idea differently.
  3. Snowball: for the 2–3 most relevant papers found, follow their references and their citing papers (Semantic Scholar /paper/<id>/references and /citations).
  4. Record every query run; the survey reports them so coverage can be audited.

Citation rules (non-negotiable)

  • Never cite from memory. A paper appears in the survey only after its record (arXiv page, Semantic Scholar entry, or venue page) was fetched in this session. A paper that is remembered but cannot be found is reported as "recalled but unverified", not cited.
  • Report what each paper shows, not what it claims: the dataset, metric, and number from its experiments, precise enough to be checked.
  • Mark each entry as peer-reviewed (with venue) or preprint.
  • Do not rank results that are not comparable (different datasets, metrics, or compute); say why they aren't.

Output

Save to papers/related-work/<topic>.md:

  1. Question, scope, recency window, inclusion criteria.
  2. Comparison table: method | venue+year (or preprint) | setting | metric | result | code available.
  3. Gaps and open problems: what no surveyed paper addresses, stated specifically enough to seed a research question (input to the research-ideation skill).
  4. Coverage limits: queries run, sources searched, where the survey may be incomplete.

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.