
Claude Skills by zjunlp
github.com/zjunlpVerifies product attributes on a web shop detail page by extracting price, comparing color availability, validating specifications, and confirming option selections against user requirements before purchase. Use when you need to check if a product matches requirements, verify product details before buying, confirm item specifications on an online store product page, or validate that price, color, size, or other attributes satisfy the user's constraints. Outputs a `Thought:` assessment followe...
Performs the first search on an e-commerce platform using keywords derived from parsed user requirements. Use when starting product discovery from a user instruction or when previous search results are insufficient and a new query is needed. It formulates a search query from the criteria (e.g., '24 pack of 7.5 ounce bottles of non-gmo classic tonic') and executes the search[] action, returning the initial result page.
This skill selects product options or variants (such as size, color, or quantity) on a product detail page based on user preferences or cost optimization. It should be triggered when a product page displays configurable options. The skill evaluates available choices (e.g., 1pcs vs 2pcs) and selects the one that best aligns with the user's constraints, such as minimizing cost.
Search, download, create, evaluate, and analyze reusable agent skills via SkillNet — the open skill supply chain for AI agents. Use when: (1) Before any multi-step task — search SkillNet for existing skills first, (2) User says "find a skill", "learn this repo/doc", "turn this into a skill", or mentions skillnet, (3) User provides a GitHub URL, PDF, DOCX, PPT, execution logs, or trajectory — create a skill from it, (4) After completing a complex task with non-obvious solutions — create a skil...
This skill examines a specific product's detailed page to verify it matches the user's requirements, checking price, description, features, and reviews. Trigger when a candidate product is selected from search results. It confirms alignment with constraints and provides a final suitability assessment before purchase.
This skill evaluates product listings against user requirements, such as price limits and feature matches, to identify viable options. It should be triggered when presented with a search results page containing multiple products. The skill analyzes product titles, prices, and brief descriptions to select the most promising candidate for detailed inspection.
This skill performs an initial product search using a web interface by generating appropriate search keywords based on interpreted query criteria. It is triggered when starting a product discovery task or when returning to search results. The skill inputs structured search parameters and outputs a list of candidate products from the search results page.
Selects the most promising product candidate from a filtered shortlist for detailed inspection. Use this skill when multiple items seem viable; it makes a final selection based on a heuristic (e.g., best feature match, lowest price) and triggers the action to navigate to that product's detail page (click[product_id]).
This skill executes the purchase action for a confirmed suitable product on an e-commerce page. It is triggered after product verification when the user decision is to buy. The skill clicks the purchase button (e.g., 'Buy Now') to complete the transaction.
This skill initiates the purchase process by clicking the buy button once a product and its options have been selected and verified against requirements. It should be triggered when all selection criteria are satisfied and the user is ready to proceed to checkout. The skill confirms the final price meets any budget constraints before executing the purchase action.
This skill interprets a user's shopping query to extract key product requirements such as item type, attributes, and constraints. It should be triggered when a new shopping instruction is received, parsing natural language into structured criteria (e.g., product category, desired features, price limits). The output is a clear set of search parameters for use in subsequent product lookup steps.
This skill filters search results by evaluating product listings against specific user constraints like price, features, or ratings. It should be triggered when reviewing a page of search results to identify items that match all given criteria. The skill takes a list of products with their details and outputs a subset that meets the defined requirements for closer inspection.
Executes a search on an e-commerce platform using parsed keywords. Trigger when you need to find products matching specific criteria from a user query. This skill takes structured search terms and performs a search action, returning a list of product results for evaluation.
Use when you need to connect to the SciGraph SCP server for ADR-Graph (drug–adverse reaction knowledge graph dataset for link prediction/side-effect discovery, used with EdgePrediction) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for AEQG-Physics (AEQG-MCQ-Distractors-Physics high-school physics concept-map knowledge graph for MCQ generation and distractors) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for BEACON (Bridging Chemical Structure and Conceptual Knowledge; CPI prediction) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for BioActivity/TarIKGC (semantics-enhanced KG for target identification in small-molecule drug discovery) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for Biomedical-Drug (DREAMwalk multi-layer heterogeneous biomedical knowledge graph for drug repurposing) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for CISREG (genomic regulation knowledge graph about enhancers, TADs, genes, proteins, phenotypes) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for ClinicalKG/CKG (Clinical Knowledge Graph database dump for building Neo4j; proteomics + clinical decision support) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for the DDKG biomedical knowledge graph (drug–drug interaction prediction) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for DTINet (Drug-Target Interaction Network knowledge graph for predicting novel drug–target interactions from heterogeneous biomedical networks) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for E-Coli (antibiotic resistance knowledge graph; KIDS framework) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for ElementKG 2.0 / InstructProteinKG and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including configuration (streamableHttp + SCP-HUB-API-KEY) and Python 3.10+ client usage examples.
Use when you need to connect to the SciGraph SCP server for GraPhysics (physics equation-centered knowledge graph of laws/constants with bridge relations between equations) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for Healx (rare disease drug repositioning biomedical knowledge graph by Healx Ltd.) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for IDP-KG (Intrinsically Disordered Protein Knowledge Graph) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for iKraph (large-scale biomedical knowledge graph from PubMed + external databases like Hetionet) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for InstructProteinKG (UniProt/Swiss-Prot derived protein knowledge graph for sequence-text alignment and instruction learning) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for KANO-ChEBI / ElementKG-CHEBI (knowledge graph integrating element properties and functional group hierarchies from Periodic Table/Wikipedia/ChEBI to support KANO molecular representation learning and functional prompting) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for KCL (knowledge graph of microscopic chemical associations among common elements; supports knowledge-guided augmentation/message passing for molecular graphs) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for KG-FM (framework-material knowledge graph dataset; see npj Computational Materials 2025 paper) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for KG-MTL (knowledge graph enhanced multi-task learning framework for molecular interaction prediction: DTI/CPI) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for KGNN (Knowledge Graph Neural Network; drug-drug interaction prediction dataset/framework) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for KnowDDI (knowledge subgraph learning for accurate + interpretable drug-drug interaction prediction; supports zero-shot DDI) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for MarineExpert (marine expert management knowledge graph integrating experts/publications/institutions/collaborations/fields from multi-source marine info) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for Material (materials-science knowledge graph built from ~150k papers via an LLM-based NLP pipeline; contains materials, formulas, properties, synthesis conditions) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for MatKG (autonomously generated materials-science knowledge graph extracted from >5M papers; entities include materials/properties/applications/synthesis) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for MatMechOnto (MaterioMiner dataset linking a materials mechanics ontology with fine-grained literature entity annotations; supports NER and CPMP relation extraction) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for MEKG (Materials Experiment Knowledge Graph capturing provenance of synthesis/processing/characterization/performance experiments) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for MGEDKG / MGED-KG (bilingual Chinese-English materials terminology knowledge graph with ~8660 terms built from Comprehensive Dictionary of Materials via NLP) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for MiKG (microbiota–gut–brain axis biomedical knowledge graph) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for MKG-FENN (multimodal knowledge graph fused end-to-end neural network for drug-drug interaction prediction) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for NAFLDkb (drug development knowledge base for non-alcoholic fatty liver disease) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for OceanGraph (Historical Marine Biodiversity Knowledge Graph / OceanGraphRAG KG built with Microsoft GraphRAG) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for OM (ontology for units of measurement, dimensions, and unit conversion/dimensional analysis) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for OPB (Ontology of Physics for Biology; reference ontology applying physics/thermodynamics concepts to biological systems across scales) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for Otter-DUDe (IBM Research Otter-Knowledge multimodal knowledge graphs for drug discovery) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for Otter-PrimeKG (IBM Research Otter-Knowledge multimodal knowledge graphs for drug discovery) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.
Use when you need to connect to the SciGraph SCP server for Otter-STITCH (IBM Research Otter-Knowledge multimodal knowledge graphs for drug discovery) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.