Research & Search

tangledgroup Bundle

Python implementation of the Louvain algorithm for community detection in graphs. Produces modularity-optimized partitions of undirected NetworkX graphs with support for weighted edges, resolution parameters, and dendrogram generation. Use when detecting communities in social networks, biological networks, citation graphs, or any graph where modular structure reveals meaningful groupings.

marielynneblock Bundle

Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.

marielynneblock Bundle

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

internscience Skill

Search biomedical literature and web content using Tavily search engine for research and clinical information.

internscience Skill

Search PubMed database for scientific articles and publications to retrieve biomedical literature.

internscience Skill

Gene Expression Atlas - Build gene expression atlas: TCGA cancer expression, NCBI gene info, Ensembl gene details, and literature search. Use this skill for transcriptomics tasks involving get gene expression across cancers get gene metadata by gene name get lookup symbol search literature. Combines 4 tools from 4 SCP server(s).

internscience Bundle

Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.

internscience Skill

Search scientific literature and research papers using FlowSearch to find relevant academic articles and publications.

internscience Skill

Drug-Indication Mapping - Map drug indications: ChEMBL drug indications, FDA indications, OpenTargets drug associations, and literature. Use this skill for clinical informatics tasks involving get drug indication by id get indications by drug name get associated drugs by target name pubmed search. Combines 4 tools from 4 SCP server(s).

internscience Skill

SNP Functional Impact Analysis - Analyze SNP function: VEP prediction, variation details, phenotype association, and literature evidence. Use this skill for functional genomics tasks involving get vep id get variation get phenotype accession pubmed search. Combines 4 tools from 2 SCP server(s).

internscience Skill

Scientific Literature Mining - Mine scientific literature: PubMed search, arXiv search, web search, and Tavily deep search. Use this skill for scientific informatics tasks involving pubmed search search literature search web tavily search. Combines 4 tools from 2 SCP server(s).

internscience Skill

Clinical Trial Drug Profiling - Profile drug for clinical trials: FDA clinical studies, contraindications, pregnancy info, and geriatric use. Use this skill for clinical research tasks involving get clinical studies info by drug name get contraindications by drug name get pregnancy effects info by drug name get geriatric use info by drug name. Combines 4 tools from 1 SCP server(s).

swan-gtm Bundle

Researches a company, person, buying committee, signal, domain, stack, financial context, or competitor mention. Produces a focused answer with sources and confidence notes.

swan-gtm Skill

Map every decision-maker, influencer, and blocker at a target account. Takes a company name or domain plus a deal stage or research context. Returns verified contacts classified by buying role, coverage gaps by function, departure flags, and ranked next actions — all shaped by where you are in the deal. Requires a Lusha connection.

marielynneblock Bundle

Analyses git diffs or staged changes and generates narrative commit messages that explain WHY a change was made, not just what changed — following Conventional Commits format. Use when asked to "write a commit message", "generate a commit", "describe my changes", "what should I commit this as", "commit this", "summarise my diff", or "help me commit". Works with git diff output, staged files, or plain descriptions of changes.

event4u-app Bundle

Use BEFORE editing shared code — enumerates every call site, event consumer, queue worker, API client, migration, and test that a planned change will touch, with a file:line citation per dependency.

event4u-app Bundle

Autonomous multi-step investigation — deep research carried end-to-end without per-step approval; explicit request only, never for normal feature work.

xjli360 Bundle

聚焦市场机会、运营工具、关键词体系的 Amazon 选品与产品开发。在需要验证购买需求、直接竞争、差异化和单位经济，形成进入、有限验证或暂缓的有据判断时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

聚焦ROAS、季节性、竞价策略的 Amazon 选品与产品开发。在需要验证购买需求、直接竞争、差异化和单位经济，形成进入、有限验证或暂缓的有据判断时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

聚焦现金流、利润模型、供应链的 Amazon 选品与产品开发。在需要验证购买需求、直接竞争、差异化和单位经济，形成进入、有限验证或暂缓的有据判断时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

Run a fast Amazon opportunity gate using precise-query CPC, defensible conversion scenarios, visible differentiation, and unit economics. Use when deciding whether a product deserves deeper research before spending on samples or inventory.

xjli360 Bundle

聚焦竞品验证、成本结构、关键词体系的 Amazon 选品与产品开发。在需要验证购买需求、直接竞争、差异化和单位经济，形成进入、有限验证或暂缓的有据判断时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

聚焦汇率风险、市场机会、成本结构的 Amazon 选品与产品开发。在需要验证购买需求、直接竞争、差异化和单位经济，形成进入、有限验证或暂缓的有据判断时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

Use AI to classify and deduplicate Amazon keyword candidates while keeping human product-relevance gates and first-party validation. Use for large keyword sets; never treat generated words or third-party volume as verified demand.

xjli360 Bundle

聚焦市场机会、卖家精灵、自动广告的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

聚焦差异化、类目与节点、市场机会的 Amazon 选品与产品开发。在需要验证购买需求、直接竞争、差异化和单位经济，形成进入、有限验证或暂缓的有据判断时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

Apply a tunable low-volume, higher-price, low-review screen to surface unfamiliar Amazon niches for deeper research. Use when the candidate universe is too large and the user needs a fast, explicitly non-final first pass.

xjli360 Bundle

聚焦供应链、发货与入库、税务与出口的 Amazon 选品与产品开发。在需要验证购买需求、直接竞争、差异化和单位经济，形成进入、有限验证或暂缓的有据判断时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

聚焦市场机会、退货与退款、季节性的 Amazon FBA、物流与库存。在需要核对可售、在途、交期和费用，量化断货与积压风险，形成可执行的库存处理方案时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

聚焦市场机会、成本结构、汇率风险的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。

xjli360 Bundle

聚焦市场机会、利润模型、竞品验证的 Amazon Listing 与页面操作。在需要定位页面与字段问题，形成有产品事实支撑的修改草案、只读预检和结果核验计划时使用；根据当前业务问题选择证据卡，避免加载无关主题。

swan-gtm Skill

Use this skill when turning prospect research into opening lines, choosing between a strong hook (verbatim quote) and a lite hook (conceptual tie), connecting personalization to relevance, or crafting personalized first lines for cold email and LinkedIn.

swan-gtm Skill

Use this skill when AI-drafted Reddit comments don't sound like the person they're supposed to be — "the drafts feel off-brand," "make the advocate sound like me," "the AI gets our product details wrong." Two levers: teach the voice by rewriting sample drafts into your natural phrasing, and feed a tight knowledge base so drafts get the facts right.

swan-gtm Skill

Pull a decision-ready intelligence brief on any target account. Takes a company name, domain, or Lusha company ID plus a one-line research context — QBR, competitive deal, cold outbound, or inbound triage. Returns firmographics, buying signals, key contacts verified via Lusha, recent news and scoops, and ranked next actions — all framed by your stated purpose. Requires a Lusha connection.

swan-gtm Skill

Use this skill when the user wants to know which content actually shapes AI answers in their category — "what sources do AI engines cite about us," "why does the competitor win the AI comparison answers," "where should content effort go for AI visibility." Three-level investigation: cited domains → the specific URLs driving citations → the full AI answers, ending in a ranked content hit-list.

swan-gtm Bundle

Use this skill when the user wants to measure or improve how their brand shows up in AI-generated answers — "do we appear in ChatGPT answers," "track our AEO score," "which sources do AI engines cite for our category." Seeds the prompts buyers actually ask, tracks brand visibility per engine and country over time, and mines the citation sources to show where content effort moves the score.