Total 46,273 skills
Showing 12 of 46273 skills
Generate CI/CD configuration for Linear Release. Use when setting up release tracking, configuring CI pipelines for Linear, or integrating deployments with Linear releases. Supports GitHub Actions, GitLab CI, CircleCI, and other platforms.
Use this skill when working with UMG, UI, widget, UserWidget, Slate, HUD, BindWidget, Common UI, menu, or UMG binding in Unreal Engine. See references/widget-types.md for widget type reference and references/common-ui-setup.md for Common UI plugin setup. For Slate in editor tools, see ue-editor-tools. For input mode management, see ue-input-system.
Create diagnostic logs with clear purpose, filterable identifiers, and stringified objects for easy browser console copying. Use when adding logging statements, debugging code, or creating diagnostic output.
End-to-end protocol replay toolkit for ChatGPT Plus/Team/Pro subscription with hCaptcha visual solver and anti-fraud empirical research
Open-source lightweight cross-platform database management tool built with Tauri, Vue 3, and Rust supporting MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, and SQL Server.
Generate and install a custom Claude Code status line with selectable columns (model, context, effort level, git, dir, worktree, vim) and a color theme. Context and effort elements color-change based on level. Triggers on "status line", "statusline", "customize status", "status bar", "effort level display", "状态栏", "ステータスライン", or similar.
Browse 대법원경매정보(courtauction.go.kr) 부동산 매각공고 by 매각기일·법원·기일/기간 입찰, expand each notice into 사건번호·용도·주소·감정평가액·최저매각가, and look up a case directly by 법원+사건번호. Read-only, slow-by-design (~2s/call) to avoid IP blocks. Use when the user asks "오늘 어디서 부동산 경매가 열려?" "이 사건번호 정보 알려줘" or wants 매각공고 데이터를 에이전트가 다룰 수 있는 JSON으로.
Design and redesign EdgeSpark frontends with distinctive, production-grade visual direction instead of generic AI-looking UI. Use when building or polishing landing pages, marketing sites, dashboards, auth flows, portfolios, product surfaces, or reusable frontend sections in EdgeSpark, especially when the task mentions design quality, aesthetics, typography, color, layout, motion, art direction, or making the UI feel more premium and original.
Build and modify EdgeSpark apps. Use when a project has edgespark.toml, the user mentions EdgeSpark, or work involves the edgespark CLI, server SDK types, storage/auth/database workflows, deployment, or @edgespark/web.
Use Neo4j GenAI Plugin ai.text.* functions and procedures for in-Cypher embedding generation, text completion, structured output, chat, tokenization, and batch ingestion. Covers ai.text.embed(), ai.text.embedBatch(), ai.text.completion(), ai.text.structuredCompletion(), ai.text.aggregateCompletion(), ai.text.chat(), ai.text.tokenCount(), ai.text.chunkByTokenLimit(), and provider configuration for OpenAI, Azure OpenAI, VertexAI, and Amazon Bedrock. Requires CYPHER 25. Replaces deprecated genai.vector.encode(). Use when writing pure-Cypher GraphRAG, embedding nodes in-graph, generating structured maps from prompts, or calling LLMs inside Cypher queries. Does NOT handle neo4j-graphrag Python library pipelines — use neo4j-graphrag-skill. Does NOT handle vector index creation/search — use neo4j-vector-index-skill.
Create and manage Neo4j vector indexes, run vector similarity search (ANN/kNN), store embeddings on nodes or relationships, use SEARCH clause (Neo4j 2026.01+, preferred) or db.index.vector.queryNodes() procedure (deprecated 2026.04, still works on 2025.x), configure HNSW and quantization options, pick similarity function and embedding provider dimensions, and batch-update embeddings. Use when tasks involve CREATE VECTOR INDEX, vector.dimensions, cosine/euclidean search, embedding ingestion pipelines, or semantic nearest-neighbor lookup. Does NOT handle GraphRAG retrieval_query graph traversal — use neo4j-graphrag-skill. Does NOT handle fulltext/keyword indexes (FULLTEXT INDEX, db.index.fulltext) — use neo4j-cypher-skill. Does NOT handle GDS graph embeddings (FastRP, Node2Vec) — use neo4j-gds-skill.
Serverless GDS sessions on Neo4j Aura — covers GdsSessions, AuraAPICredentials, DbmsConnectionInfo, SessionMemory, get_or_create, remote graph projection, gds.graph.project.remote, gds.graph.construct, algorithm execution (mutate/stream/write), async job polling, result retrieval, and session lifecycle. Use when running graph algorithms on Aura Business Critical or VDC, processing graph data from Pandas/Spark, or using the graphdatascience Python client in AGA (serverless) mode. Covers all three data source three source modes (AuraDB-connected, self-managed Neo4j, standalone from DataFrames). Does NOT cover the embedded GDS plugin on Aura Pro or self-managed Neo4j — use neo4j-gds-skill. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover Snowflake Graph Analytics — use neo4j-snowflake-graph-analytics-skill.