「graph」の検索結果

Hunting skill for graphql vulnerabilities. Built from 12 public bug bounty reports across IDOR via node() / GID, mutation IDOR including AI/LLM features, cross-tenant IDOR, SSRF via argument, batching-DoS, query-cost-bypass, SQLi via argument, broken-object-level-authz, auth-bypass via unscoped mutations, and PII exposure from missing field-level authz. Use when hunting graphql on any target.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

日本語の概要は準備中です。原文の説明を表示しています。

Polishes academic English paragraph by paragraph, reviewing grammar, word choice, voice, coherence, and sentence structure. Outputs revision suggestions alongside polished text. Triggered by phrases like 'polish this paragraph,' 'check the grammar,' 'rewrite in academic English,' or keywords like manuscript editing, SCI polishing, and journal submission editing.

日本語の概要は準備中です。原文の説明を表示しています。

Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards. Offers 8 color palettes and built-in icons with no external dependencies. Triggered when users request data visualization, infographics, charts, or dashboards.

日本語の概要は準備中です。原文の説明を表示しています。

Validate bibliography entries against citations in all source files. Find missing entries and unused references. Make sure to use this skill whenever the user has any concern about bibliography completeness or citation keys. Triggers include: "validate my bib", "check my citations", "find missing references", "I'm getting undefined citation errors", "are all my citations in the bib file", "check for unused references", "my bibliography is broken", "missing bib entries", "citation not found", or after adding new references from a lit review or before submission.

日本語の概要は準備中です。原文の説明を表示しています。

Problem-solving strategies for graph algorithms in graph number theory

日本語の概要は準備中です。原文の説明を表示しています。

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

日本語の概要は準備中です。原文の説明を表示しています。

Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.

日本語の概要は準備中です。原文の説明を表示しています。

Build, query, and inspect the project knowledge graph in .planning/graphs/

日本語の概要は準備中です。原文の説明を表示しています。

Critique a rendered screen's typography — scale usage, readability, consistency, and token compliance. Use when reviewing type on a screen. For defining the scale itself, use `typography-scale` (ui-design).

日本語の概要は準備中です。原文の説明を表示しています。

Create a modular type scale with size, weight, and line-height relationships. Use when establishing typographic structure. For line length only use `readable-measure`; for judging type on an existing screen use `critique-typography` (visual-critique).

日本語の概要は準備中です。原文の説明を表示しています。

Upgrade Three.js games from prototype visuals to premium browser graphics: art-direction critique, procedural model building, material and texture libraries, world prop kits, shaders, VFX, lighting and render pipeline, LOD and instancing, render budgets, and a 10-category visual scorecard. Use when screenshots still look basic or the user asks for premium, AAA, high-fidelity, showcase, or less-basic graphics.

日本語の概要は準備中です。原文の説明を表示しています。

Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3.6 Flash for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.

日本語の概要は準備中です。原文の説明を表示しています。

GraphQL and hidden parameter testing playbook. Use when exploring introspection, batching, undocumented fields, hidden parameters, schema abuse, and GraphQL authorization gaps.

日本語の概要は準備中です。原文の説明を表示しています。

Add motion graphics at the right moments without blocking the story. Use when the user wants to enhance talking-head, lecture, tutorial, interview, podcast, or creator videos with motion graphics.

日本語の概要は準備中です。原文の説明を表示しています。

Guide for editing videos where the primary content is people talking — talking-head / 口播, interview / 访谈, lecture, tutorial, podcast, course content, and similar talking-driven formats. Use when the user wants speech editing on a talking video (剪口播 / 口播剪辑 / 去口癖 / clean up fillers / smooth speech), motion graphics layered onto talking video (口播加 MG / 加动画), or B-roll on a talking video (加 B-roll / add B-roll). For motion graphics specifically, use this together with the active Motion Graphics skill/workflow available in the current OpenChatCut environment — this skill adds talking-specific guidance (speech-rhythm timing, frame-aware placement, subject/caption protection, placement verification).

日本語の概要は準備中です。原文の説明を表示しています。

Converts a biomedical study storyline into a graphical abstract and, when direct image capability is available, generates the graphical abstract directly; otherwise it falls back to prompts, Mermaid flowcharts, or designer-facing briefs.

日本語の概要は準備中です。原文の説明を表示しています。

Master modern GraphQL with federation, performance optimization, and enterprise security. Build scalable schemas, implement advanced caching, and design real-time systems. Use PROACTIVELY for GraphQL architecture or performance optimization.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user types /hep-graph or asks to create, list, inspect, or request a run of an Agentlas automation graph.

日本語の概要は準備中です。原文の説明を表示しています。

Build Unreal Engine 5 gameplay with Blueprint visual scripting: Blueprint Classes, the Event Graph and Construction Script, variables/functions/macros, and Blueprint communication (Cast, Interfaces, Event Dispatchers). Use when working in Blueprints, wiring an event graph, deciding how Blueprints talk to each other, or when the user mentions Blueprint, BP, event graph, construction script, or a Blueprint .uasset.

日本語の概要は準備中です。原文の説明を表示しています。

将 CodeGraph 作为默认内置 MCP-backed 代码图谱能力接入，用于 brownfield 符号搜索、 调用链、影响面和上下文查询。输出必须回落到 `/team-*` 主链和 artifacts。

日本語の概要は準備中です。原文の説明を表示しています。

Use Ontoly Software Graph evidence, CLI reports, MCP, and official Ontoly Agent Skills before searching source files when reviewing architecture, dependencies, request flows, configuration, impact, or security-sensitive ownership.

日本語の概要は準備中です。原文の説明を表示しています。

INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.

日本語の概要は準備中です。原文の説明を表示しています。