156 tagged research agent, measured the same way as everything else here.
Browse within: agentic-search 55chinese-search 55deep-research 55bibliometrics 45codex-skills 45geospatial 45literature-review 45urban-health 45co-scientist 43hypothesis-generation 43reproducible-research 43scientific-discovery 43LaTeX 11autonomous-agent 11
Skill Claude CodeCodex
Write domain-authentic review articles that synthesize rather than stack. Covers 10 scientific domains (physics, chemistry, biology, medicine, mathematics, computerscience, earthenvironment, astronomy, economics, materials) with per-domain style guides mined from landmark reviews in RMP / Nat. Rev. X / Annu. Rev. /…
Skill Claude CodeCodex
Unified academic paper search, citation chains, paper download (arXiv LaTeX/PDF, Sci-Hub), figure extraction from papers, LaTeX source reading, BibTeX fetching, web search, and browser automation for Cloudflare-protected sites (PRL, Science, Nature, Google Scholar).
Skill Claude CodeCodex
Plan-time methodology contract for survey/review/report projects. Forces an audit-grade survey instead of a paper-trust summary. Distilled from 240 reviews (2024-2026) across 9 domain clusters — physics/RMP/Living Reviews, chemistry/materials, biology/medicine narrative + Cochrane SRs, CS/ML/AI, math/Acta Numerica…
AlekseiUL/hermes-researcher-agent
Skill Claude CodeCodex
Convert public research documents and mixed file formats into Markdown before evidence review. Use for PDF, DOCX, PPTX, XLSX, HTML, CSV/JSON/XML, EPUB, ZIP bundles, and document intake before summaries, source ledgers, or research briefs.
AlekseiUL/hermes-researcher-agent
Skill Claude CodeCodex
Use when a Hermes agent must perform public-source research, source scouting, evidence grading, competitor/tool comparison, community-signal analysis, or decision-ready brief writing without private data or credentials.
Skill Claude CodeCodex
Group-first channel selection algorithm for v2 tool-supplier architecture. Given a research query + clarify rubrics + channelpriority hints, picks 1-3 relevant groups from the router index, then 3-8 leaf channels from within those groups. Replaces flat-rank selection across 41 channels with a two-stage pick so runtime…
Skill Claude CodeCodex
Deduplicate URLs across all sources, assign stable citation numbers, and merge citations from multiple subagents / sections into one consistent reference list. Prevents "same URL cited as [3] in one paragraph and [17] in another" and "different URLs merged under [5]" bugs that come from per-section synthesis.
Skill Claude CodeCodex
Session-level policy for keeping the runtime AI's context window healthy across long research — keep-last-k tool results, offload older evidence to disk, trigger compaction at thresholds. Borrows MiroThinker's keeptoolresult, deepagents' summarization middleware, and deer-flow's SummarizationEvent pattern. Orthogonal…
Skill Claude CodeCodex
Run the full Co-Scientist pipeline for one research run.
Skill Claude CodeCodex
Run the iterative evolution loop from the current persisted run state until convergence.
Skill Claude CodeCodex
Update ranking artifacts for one reviewed hypothesis using canonical placement-opponent selection, ranked-frontier selection, tournament judgments, and Elo updates.
Lzy599775/agent-auto-sci-skills
Skill Claude CodeCodex
Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify…
Lzy599775/agent-auto-sci-skills
Skill Claude CodeCodex
PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torchgeometric, not for general NetworkX analytics or non-graph PyTorch models.
Lzy599775/agent-auto-sci-skills
Skill Claude CodeCodex
Use UMAP-learn for nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows.