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Found 9 Skills
Organize investigation findings into an entity-relationship graph to reveal connections. Use when mapping links between people, accounts, and infrastructure, building a Maltego-style graph, visualizing selectors and pivots, or untangling a complex network.
Core PyGraphistry workflow for authentication, shaping edges/nodes/hypergraphs, and plotting. Use for first-run setup, converting tables to graphs, and producing an initial interactive graph quickly and safely.
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.
Learn how to build and utilize a graph database within your Flutter applications using SQLite and the Drift package to model relationships between data.
G6 v5 图可视化代码生成技能，支持网络图、树形图、流程图等多种图类型的初始化、布局、交互和插件配置
Build PyGraphistry visualizations with bindings, encodings, layout controls, static export, and privacy-aware sharing. Use for color/size/icon/badge styling, layout tuning, map/static output, and plot link sharing workflows.
Neo4j Visualization Library (NVL) — framework-agnostic graph rendering for the browser. Covers @neo4j-nvl/base (NVL class, nodes/relationships, Canvas vs WebGL renderer), @neo4j-nvl/interaction-handlers (ZoomInteraction, PanInteraction, DragNodeInteraction, ClickInteraction, HoverInteraction, BoxSelectInteraction, LassoInteraction, KeyboardInteraction), and @neo4j-nvl/react (InteractiveNvlWrapper, BasicNvlWrapper, StaticPictureWrapper). Use when rendering a Neo4j graph in a browser, feeding driver results through nvlResultTransformer, choosing Canvas vs WebGL, wiring node/relationship click/hover/drag handlers, or embedding NVL in React, Vite, or vanilla JS apps. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle driver lifecycle, sessions, or executeQuery setup — use neo4j-driver-javascript-skill. Does NOT handle GraphVisualization/Needle default embed — use @neo4j-ndl/react.
Generate interactive graph visualizations in the browser from any data - codebases, infrastructure, relationships, knowledge maps
Phân việc dạng ĐỒ THỊ PHỤ THUỘC trên PLAN.md — trả lời 5 câu hỏi (task này cần việc gì · cái gì chạy song song · phụ thuộc vào gì · tồn tại để làm gì trong graph · liên hệ graph cũ) bằng tool tất định, dispatch theo lớp topo có KHOÁ + lease + generation, state lưu bền append-only (events.jsonl), 2 file python vẽ (1 graph / atlas 2D mọi graph), mọi câu trả lời của model gắn nhãn chắc|gợi-ý|không-biết + nguồn, audit bịa=0. Gọi khi user nói "orca-graph", "graph phân việc", "task nào song song", "phụ thuộc gì", "vẽ graph task", "dispatch theo graph", "/orca-graph".