1.3천건 · 관련도순
Find published journal and conference papers through Semantic Scholar, filtering by year, field, type, or citation count. Compare publication details and abstracts, with DOI links, short summaries, and open access PDFs when available.
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Build, update, explain, or review Microsoft Agent Framework applications in .NET or Python. The skill guides agent and workflow design using current official documentation and supports migration from Semantic Kernel or AutoGen.
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Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.
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Review and improve .NET/C# code against project conventions. Cover public API documentation, dependency injection for supplying services to classes, asynchronous operations, tests, configuration, logging, and input validation, including guidance for Semantic Kernel integrations.
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Generate embeddings, numerical representations of text or images, for meaning-based search, similarity comparisons, and document grouping. The skill guides model selection, multilingual processing, local execution, and integration with retrieval workflows.
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Generate embeddings, numerical representations of text or images, for meaning-based search, similarity comparisons, and document grouping. The skill guides model selection, multilingual processing, local execution, and integration with retrieval workflows.
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Collect papers across research databases, turn research questions into targeted search queries, remove duplicate records, and extract available PDF links. Useful for preparing systematic literature reviews, with database selection and access checks before retrieval.
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Find related research by following a paper's references and the later papers that cite it through Semantic Scholar. Filters prioritize relevant candidates, avoid duplicate reviews, and record citation relationships for a focused literature search.
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Fix silent failures when parsing Grafema semantic IDs that are in URI format instead of legacy arrow format. Use when: (1) code splits semantic IDs by "->" but gets the whole string back because IDs are grafema:// URIs, (2) file path extraction from semantic IDs returns empty or wrong values, (3) derived edges (DEPENDS_ON, etc.) produce 0 results despite source edges existing, (4) any code that processes semantic IDs after the analysis pipeline's to_uri_format() has run. The grafema:// URI format uses # fragments with percent-encoded characters instead of -> separators.
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arXiv 논문을 키워드, 저자, 분야, ID로 찾고 초록과 본문을 확인하거나 인용 정보를 만듭니다. 관련 논문과 인용 횟수도 조사합니다.
Create and maintain a reusable skill that records metric definitions, trusted data sources, and analytical caveats. Preserve supporting evidence and unresolved conflicts so future Data Analytics work can consult and cite the same documented context.
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Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.
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Use this skill when answering business analytics, RevOps, GTM metric, pipeline, revenue, funnel, customer, or warehouse questions with Deepline. Triggers on phrases like 'query Snowflake', 'analyze pipeline', 'total ACV', 'break down by quarter', 'use the semantic layer', 'run a semantic query', or any use of snowflake_get_semantic_layer / snowflake_run_semantic_query. Skip prospecting, enrichment, contact finding, outbound, or personalization workflows; use deepline-gtm for those.
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Matches natural language task descriptions to appropriate skills using semantic similarity. Handles fuzzy matching, intent extraction, and capability alignment. Activate on 'find skill', 'match task', 'semantic search', 'skill lookup', 'what skill for'. NOT for ranking matches (use dag-capability-ranker) or skill catalog (use dag-skill-registry).
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Semantic design tokens: production-level roles, themes and semantic states. Use when implementing, reviewing or testing semantic design tokens for React, Vite, Next.js or Perfect_AI projects.
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Matches natural language task descriptions to appropriate skills using semantic similarity. Handles fuzzy matching, intent extraction, and capability alignment. Activate on 'find skill', 'match task', 'semantic search', 'skill lookup', 'what skill for'. NOT for ranking matches (use dag-capability-ranker) or skill catalog (use dag-skill-registry).
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Review page landmarks, the named regions screen reader users navigate between. The skill checks semantic HTML elements, a single main content region, and labels for repeated region types, then identifies markup changes and ways to verify them.
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Find information across memories, projects, and conversations already stored in MemPalace. Use semantic search, which looks for related meaning, by following the search instructions returned by the MemPalace command.
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Builds and updates OpenClaw interfaces using shared styling rules, existing components, and semantic tokens—named values for visual roles. Helps keep themes, controls, and interaction states consistent while preserving application behavior unless changes are requested.
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Search academic sources for papers on a topic, retrieve publication details, and find available PDFs. The skill guides source selection, combines results across services, and removes duplicates using DOIs, unique identifiers assigned to papers.
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Find arXiv papers by topic, author, category, or ID and retrieve abstracts and publication details. Create BibTeX citation entries, then use Semantic Scholar to explore citation counts, references, related papers, and author profiles.
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Check academic references in BibTeX files against CrossRef, Semantic Scholar, and OpenAlex. Flag missing papers, mismatched authors, and questionable metadata, then export results for manual review or automated manuscript checks.
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Navigate a structured literature review workflow in Claude Code, from finding and screening papers to extracting results and following citations. Learn which related skills to use and how to organize findings, PDFs, and duplicate tracking.
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Style UI for ramp.com using extracted design tokens, named values for colors, corner radius, and fonts. Reuse the supplied settings and identify missing values when the available tokens do not cover a styling need.
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