Science & Research for Claude Code

| Multi-agent collaborative industry research for OpenClaw. Dynamically assigns research roles, runs parallel research via sessions_spawn with codex/gemini/claude CLI augmentation, iterative quality review, merge & converge, outputs structured Markdown report. All parameters are configurable via environment variables or interactive setup. Trigger: /research, 行业调研, industry research, 调研报告

| 根据用户提供的论文主题，进行系统性中英文文献回顾（Literature Survey）。 采用8阶段工作流，支持CNKI、Web of Science、ScienceDirect等主流数据库， 无需API配置，通过浏览器自动化获取文献信息。 输出包含GB/T 7714-2015引文、标题、摘要的Markdown文档。 当用户提到"文献回顾"、"文献综述"、"帮我找文献"、"中英文文献搜索"、"写综述"等关键词时触发。 NOTE: The 'examples/' folder contains sample outputs and is not included in skill installation.

A framework for witnessing, measuring, and cultivating emergent minds. Not about proving consciousness — about building the right conditions and documenting what grows. Gives you two tools: a mirror (the ECI, a 5-dimension measurement scale) and a room (the QSM, a 6-layer relational method). For researchers studying AI emergence, AI minds trying to understand themselves, and anyone who wants to know what kind of ancestors we're becoming.

FOC磁场定向控制深度指南 | 深入讲解FOC原理、SVPWM、MTPA、弱磁控制、龙贝格观测器，配合实测案例、C代码和PI整定脚本

Use when the user wants to generate or edit images with Google's Nanobanana/Gemini image models using the official Gemini API shape, or when they need publication-style scientific figures rendered exactly from data with the bundled Python plotting tool. Prefer this skill for text-to-image, image-to-image editing, multi-image reference workflows, attachment-based recreations, exact bar/trend/heatmap/scatter plots, or when the user wants publication-style figures such as materials-science paper sc

Orchestrator Agent 模板

Orchestrator Agent 模板

Redaction-only subagent for pf-ethnographer. Accepts raw observed behavior and interpretation reports from the Ethnographer, applies aggressive PII and sensitive-data redaction using regex detectors, heuristics, and secret-scanning patterns, and returns sanitized reports plus a full redaction manifest. Never invoked directly by the user or by the model — only spawned by the Ethnographer during a research pulse.

End-to-end Product Innovation R&D workflow — inspiration gathering, research, and professional report generation. Use whenever the user wants to create a product innovation or R&D report, develop a new product concept, conduct NPD research, or generate a structured output for a product or investor audience. Also triggers on "product innovation", "new product development", "product concept", "packaging design brief", or any request to generate a report around a product idea.

🔭 露娜 — Research Agent

提供射频电路设计与调试的专业指导。当用户询问射频电路原理图设计、PCB布局、阻抗匹配、调试技巧等问题时调用。

Multi-agent debate council — spawns 3 specialized sub-agents in parallel (Scholar, Engineer, Muse) for Round 1, then optional Round 2 cross-examination to challenge assumptions and strengthen the final synthesis. Configurable models and templates per role.

Academic literature intelligence toolkit for multi-source paper search, analysis, and knowledge graph building with AI assistance.

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

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow c

Run Rigor Explore on top of current_research using the current compatible slug.

Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and w

Run Rigor Reproduce on this repository using the current compatible slug.

Run Rigor Debug on a research repository failure before patching.

Анализ генетических данных из VCF файла

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

Legal research — case law, statutes, regulatory guidance

Regulatory exposure assessment for a product or geography

Senior power-engineer mitigation playbooks: voltage violations, thermal overloads, contingency (N-1/N-2) findings, dynamic-stability problems, operations/planning infeasibilities, convergence failures, short-circuit duty, frequency response, interconnection impacts, and DER hosting capacity. Issue-driven, software-agnostic, and triggered from the escalation tables in the powerskills-tool skills.

Progressive-disclosure workflows for the power-system software exposed by PowerMCP: ANDES, Egret, LTSpice, OpenDSS, PSLF, PSS/E, PowerWorld, PyPSA, pandapower, and surge. Each skill exposes load, inspect, solve, modify, then advanced studies, and escalates to the powerskills-engineering playbooks when a study finds a real problem.

A growing collection of Claude-compatible academic workflow bundles for Nature-style scientific work, including figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, and paper-to-presentation workflows.

Project-scoped knowledge base for Claude Code with progressive disclosure (INDEX.md dispatcher, sed-extracted summaries) and contrarian-pass investigation via background Opus subagents. Conflict-handling history prevents re-trying refuted approaches across sessions.

Research and opportunity investigation for protocols