literature-survey
SolidUse when the user wants a comprehensive literature survey on a specific research topic. Outputs a complete PDF survey (6–20 pages, 60+ real citations, 100+ recommended) with LaTeX source, topic-specific publication figures, and a classified literature table. Single-stage, no Python runtime.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- ai4s-research
- Repository
- ai4s-research/ai4s-skills
- Created
- 1 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
literature-survey
Run a rigorous state of the art literature survey on any STEM topic and deliver a compiled PDF report of about 5 pages. Opens by converging with the user on how deep and granular the survey should go, then produces a DOI verified corpus CSV, open access PDFs with a request manifest, Tufte style seaborn figures, and testable hypotheses mined from the future work sections of the surveyed papers. Use whenever the user asks to survey a field, review the literature, map the state of the art, find who did it best, compare methods or benchmarks across papers, understand what a research area is solving for, or scope the open problems in a topic. Trigger on phrases like "survey the SOTA", "literature review", "state of the art of X", "what is the research on X", "who is leading in X", "map the field".
survey
Use when surveying academic literature — producing a literature review, related-work synthesis, state-of-the-art overview, or comparison of papers on a topic. Triggers include "survey the literature on X", "review papers about Y", "compare these papers", "what's the state of the art in Z", "related work for <topic>". Handles both topic-driven discovery and a supplied set of papers.
survey-generator
Compile a structured literature survey on any AI/ML topic. Agent curates a research bundle (taxonomy + sections + bibliography of real papers) from a public anchor resource, then a chosen LLM generates the survey artifact. Output target is a wiki page (markdown), not a one-off HTML — survey lands in `<wiki>/derived/surveys/<slug>.md` with full bibliography rows in `sources.md`. Provider-agnostic (Anthropic/OpenAI/OpenRouter/Fireworks/custom OpenAI-compat). Use when the user asks for a "survey", "literature review", "lit review", or "deep dive" on a technical topic.