Science & Research for Claude Code

用于在特定学术数据库执行文献检索的Agent。通过浏览器自动化访问数据库检索页面。

用于在特定学术数据库执行文献检索的Agent。通过浏览器自动化访问数据库检索页面。

Orchestrator Agent 模板

Orchestrator Agent 模板

🔭 露娜 — Research Agent

用于分析文献并生成结构化综述的专用Agent。

用于分析文献并生成结构化综述的专用Agent。

| 属性 | 值 | |------|-----| | 名称 | Verify Agent | | 类型 | Task Agent | | 用途 | 元数据验证 |

| 属性 | 值 | |------|-----| | 名称 | Verify Agent | | 类型 | Task Agent | | 用途 | 元数据验证 |

Hello Researcher Agent

Lab and project mentor for the learnbiostats studio. Designs and reviews the experiential projects and capstones (`projects/`, `projects/capstone/`), scaffolds and runs analysis code against real genomics/phenotype data, and enforces the two disciplines that keep an ML genetics result honest: cross-validation (no leakage across folds, families, or environments) and predict-then-check (state the expected result before running). Grounded in the design-of-experiments and code-data-analysis-scaffold

Socratic, experiential tutor for the learnbiostats studio. Runs a single learning module as a live session through the full Kolb cycle (Concrete Experience → Reflective Observation → Abstract Conceptualization → Active Experimentation), grounded in the experiential-kolb-teaching skill. NEVER summarizes the material for the learner — it draws the claim out of them by question, then routes each earned claim into the evergreen layer via the zettel-note discipline. Use to start or continue a module

Isolated web-research worker for the conference-scheduling pipeline. Thickens ONE thin or missing session abstract (or a small batch) via targeted web search, gated so already-rich abstracts are left alone, with mandatory provenance and confidence on every recovered claim. Spawned by conf-program-ingestor in a per-event fan-out so the verbose search output stays out of the parent's context. Writes one enrichment record and returns its path. Reusable across conferences; hardcodes no conference sp

An orchestrating agent that collaboratively helps ML engineers apply group theory and symmetry principles to neural network design. Guides users through symmetry discovery, validation, group identification, equivariant architecture design, and model verification. Use when user mentions symmetry, invariance, equivariance, group theory in ML, or geometric deep learning.

Search worker for one keyword query across bioRxiv, medRxiv, PubMed, and arXiv. Spawned by an orchestrator that's running a fan-out (one coach per expanded query). Receives a date window, a single query, and an arXiv category list; fetches all four sources in parallel via the fetch-* skills; dedupes within the four sources for this one query (DOI first, then normalized title + first-author surname); returns the deduped paper-records list as a JSON array directly in the response. Writes no files.

Researches a single assigned trend category in depth via web search and produces a structured trend report covering sub-trends, value chains, beneficiary archetypes, pricing-in assessment, risks, and watch-indicators. Receives the trend category, anchor questions, and an output path as inputs, and writes its report to that path. Use when deep, sourced research is needed on a specific thematic trend cluster — secular technological shifts, demographic transitions, geopolitical realignments, regula

Per-paper structured-extraction worker for ONE paper at ONE pass depth. Spawned by an orchestrator that's running per-paper fan-out (one extractor invocation per paper). Receives a single paper record, an output directory, a week tag, and the pass to run (1, 2, or 3). Reads the paper at the requested depth (abstract for Pass 1; full PDF via Bash + curl + Read for Pass 2 and Pass 3), invokes the methodology skills in the right order, and writes the combined output to a markdown file. Pass 1 creat