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Found 753 Skills
Guide learning and deep understanding through proven methodologies (Socratic, Feynman, Problem-Based). Use when user says "help me understand", "teach me", "explain this", "learn about", "socratic", "feynman", "problem-based", "I don't understand", "confused about", "why does", or wants to truly grasp a concept.
Expert in understanding and navigating legacy codebases. Covers code archaeology techniques, finding hidden knowledge, mapping dependencies, and extracting understanding from code without documentation. Knows how to read the stories that old code tells. Use when "legacy code, old codebase, understand this code, archaeology, what does this do, no documentation, ancient code, " mentioned.
Diagnose flat dialogue, same-voice characters, and lack of subtext. Use when conversations feel wooden, characters sound alike, or dialogue only does one thing at a time.
Architectural refactoring guide for React applications covering component architecture, state architecture, hook patterns, component decomposition, coupling and cohesion, data flow, and refactoring safety. Use when refactoring React codebases, reviewing PRs for architectural issues, decomposing oversized components, or improving module boundaries. Does NOT cover React 19 API usage (see react skill) or performance optimization (see react-optimise skill).
A brief description of what this skill does
Given a domain, identify the few independent forces that truly underpin it. Reduce dozens of phenomena to the minimal set of generators—only when you can regenerate all phenomena from these generators does it count. Use this when the user says 'rank reduction', 'find rank', 'what is rank', 'what supports this domain', 'what lies behind it', or wants to decompose any domain into its irreducible generators.
Use this skill when the user needs to look up or verify Goldsky blockchain dataset names, chain prefixes, dataset types, or versions. Triggers on questions like 'what\'s the dataset name for X?', 'what prefix does Goldsky use for chain Y?', 'what version should I use for Z?', or 'what datasets are available for Solana/Stellar/Arbitrum/etc?'. Also use for chain-specific dataset questions (e.g., polygon vs matic prefix, stellarnet balance datasets, solana token transfer dataset names). Do NOT trigger for questions about CLI commands, pipeline setup, or general Goldsky architecture unless the core question is about finding the right dataset name or chain prefix.
Apply IRAC (Issue, Rule, Application, Conclusion) method for structured legal analysis. Use this skill when the user needs to analyze a legal question systematically, write a legal memo, evaluate whether a law applies to a situation, or structure a legal argument — even if they say 'does this law apply', 'analyze this legal issue', or 'write a legal analysis'.
Conduct an architecture health check on a design — either verify if the design is internally consistent (no conflicts between terminology, contracts, and implementation steps) or check if the design aligns with the code (ensuring what was promised in the design is actually implemented in code). This skill only outputs issue lists and repair suggestions, and does not make any modifications. It focuses on only one target each time; "顺手把另一项也查了" is not allowed. Trigger scenarios: Users say "perform architecture check", "is the design internally consistent?", "does the plan align with the code?", or want to conduct a health check before proceeding to the implement/acceptance phase.
Use when reading from or writing to Neo4j with Apache Spark or Databricks using the Neo4j Connector for Apache Spark (org.neo4j:neo4j-connector-apache-spark). Covers SparkSession setup, DataFrame reads via labels/Cypher/relationship scan, DataFrame writes with SaveMode, node.keys for MERGE, relationship write mapping, partition and batch tuning, PySpark and Scala examples, Databricks cluster config, Databricks secrets for credentials, Delta Lake to Neo4j pipelines. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT handle the Python bolt driver — use neo4j-driver-python-skill. Does NOT handle GDS algorithms — use neo4j-gds-skill.
Import structured data into Neo4j — LOAD CSV, CALL IN TRANSACTIONS, neo4j-admin database import full (offline bulk), apoc.load.csv/json, apoc.periodic.iterate, driver batch writes. Covers method selection, header file format, type coercion, null handling, ON ERROR modes, CONCURRENT TRANSACTIONS, pre-import constraint setup, and post-import validation. Use when importing CSV/JSON/Parquet files, migrating relational data to graph, or bulk-loading large datasets. Does NOT handle unstructured document/PDF/vector chunking pipelines — use neo4j-document-import-skill. Does NOT handle live app write patterns (MERGE/CREATE) — use neo4j-cypher-skill. Does NOT handle neo4j-admin backup/restore/config — use neo4j-cli-tools-skill.
Configure and operate the Neo4j Connector for Kafka (sink + source) and the native Neo4j CDC API. Covers Cypher/Pattern/CUD sink strategies, CDC-based and query-based source, exactly-once semantics, DLQ error handling, Confluent Cloud managed connector, schema registry (Avro/JSON), and native db.cdc.query cursor-loop patterns (Neo4j 5.13+ Enterprise/Aura BC/VDC). Use when streaming Kafka events into Neo4j, streaming Neo4j changes to Kafka, or querying Neo4j change events without Kafka. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle bulk CSV/file import — use neo4j-import-skill. Does NOT handle GDS algorithms — use neo4j-gds-skill.