Read, summarize, and critically analyze scientific papers. Extract key findings, methodology, limitations, and contributions. Use when user shares a paper (PDF/URL/DOI), asks to summarize a paper, critique methodology, extract data from a paper, compare papers, or do a critical review. Triggers on "summarize this paper", "analyze this study", "what does this paper say", "critique this methodology", "extract findings from".
Write scientific papers following IMRaD structure with proper citations. Use when: user asks to draft or improve a scientific paper, write specific sections, or format citations. NOT for: non-academic writing or presentation slides.
Conducts structured peer review of scientific manuscripts including methodological evaluation, statistical assessment, clarity analysis, and constructive feedback generation following journal-specific guidelines; trigger when users ask for manuscript critique, reviewer reports, or feedback on research papers.
Search PubMed/MEDLINE for biomedical literature via NCBI E-utilities API. Use when: (1) searching medical/biomedical papers, (2) finding clinical studies, (3) querying with MeSH terms, (4) retrieving abstracts by PMID. NOT for: non-biomedical papers (use arxiv-search or semantic-scholar), full-text access (PubMed provides abstracts), or social science literature.
Reflect on completed research tasks to improve future performance. Use when: a research task has just been completed and the agent should evaluate its own process, store lessons learned, or retrieve past reflections before starting new work. NOT for: active research execution or data analysis.
# Science Communication — Making Research Accessible
Classify scientific content by discipline, methodology, topic, and quality. Use when: user asks to categorize papers, methods, or research outputs. NOT for: simple keyword tagging or non-scientific content.
Identify research gaps, synthesize cross-disciplinary insights, and generate novel hypotheses. Use when: user asks about unexplored areas, cross-field connections, or new research directions. NOT for: routine literature review or data analysis.
Answer scientific questions across all disciplines with evidence-based responses and citations. Use when: (1) user asks factual science questions, (2) needs explanation of concepts/theories/methods, (3) multi-step scientific reasoning needed. Covers natural sciences (physics, chemistry, biology, medicine, materials, astronomy, earth science, math, CS) and social sciences (economics, sociology, psychology, political science, linguistics, history, law, philosophy, education). NOT for: opinion-based questions, non-scientific queries, or when code execution is needed (use code-execution skill).
Retrieve scientific information from databases, literature, and knowledge bases. Use when: (1) finding relevant papers, (2) querying scientific databases, (3) cross-referencing findings, (4) building bibliographies, (5) systematic literature search. NOT for: answering questions (use scienceclaw-qa), summarizing (use scienceclaw-summarization), or data analysis (use code-execution skill).
Summarize scientific papers, datasets, experimental results, and literature reviews. Use when: (1) condensing research papers, (2) creating literature reviews, (3) summarizing experimental findings, (4) meta-analysis synthesis, (5) creating executive summaries of research. NOT for: information extraction (use scienceclaw-ie), full paper retrieval (use scienceclaw-retrieval), or writing new content (use scienceclaw-generation).
Summarize and simplify scientific literature, educational content, and research papers
Assist with scientific paper writing, LaTeX formatting, abstract drafting, review responses, grant proposals, and academic communication. Use when user asks to write/edit a paper section, draft an abstract, format in LaTeX, respond to reviewer comments, write a grant proposal, or improve academic writing. Triggers on "write abstract", "draft introduction", "LaTeX", "reviewer response", "grant proposal", "improve my writing", "paper draft", "methods section".
Search Semantic Scholar for academic papers across all disciplines with citation graph analysis. Use when: (1) finding papers across disciplines, (2) citation/reference graph traversal, (3) author search, (4) paper recommendations, (5) large-scale bibliometric analysis. NOT for: specific database access (use pubmed for biomedical, arxiv for preprints).
Orchestrates a social science research workflow from literature review through data collection, text analysis, statistical modeling, and report generation. Use when conducting empirical social science research, policy analysis, or mixed-methods studies. NOT for pure natural science analysis or clinical trial data.
Search social science research papers across SSRN, RePEc/IDEAS, CrossRef, and Semantic Scholar. Use when: (1) finding working papers in economics, finance, law, or political science, (2) searching RePEc for economics papers, (3) querying CrossRef for social science journal articles, (4) retrieving citation metadata for social science research. NOT for: natural sciences (use arxiv-search or pubmed-search), computer science preprints (use arxiv-search), general academic search (use semantic-scholar).
Fetch and summarize review comments from the active pull request
Analyzes astronomical observations and cosmological models including telescope data processing, celestial mechanics calculations, stellar evolution, galaxy classification, and cosmological parameter estimation; trigger when users discuss stars, galaxies, exoplanets, dark matter, or the universe's large-scale structure.
"Astronomical computations via Astropy. Use when: user asks about celestial coordinates, FITS files, or cosmological calculations. NOT for: telescope control or real-time observation planning."
Classify scientific objects, detect patterns, and categorize data across astronomy, biology, and social sciences
Symbolic mathematics via SymPy. Use when: user asks for algebraic manipulation, calculus, equation solving, or mathematical proofs. NOT for: numerical computation (use scipy) or statistical analysis.
Performs geospatial data analysis including GIS operations, spatial statistics, remote sensing image processing, geocoding, and cartographic visualization; trigger when users discuss maps, coordinates, satellite imagery, spatial patterns, or geographic data.
