「generator」の検索結果

Design a tdmcp feature into an implementable spec before any code is written — choose the layer, define the Zod input schema, lay out the TD network topology, plan the bridge/Python approach, sketch a UI wireframe when relevant, and list probe-first risks + the test plan. Use whenever a tdmcp feature idea needs a design/wireframe/spec, or when someone asks to plan/scope/architect a new tool, generator, effect, control, or AI prompt for the TouchDesigner MCP server.

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Render a completed diamond's work as a shareable, factual one-page "work receipt" (problem framed, assumptions tested, what was killed vs kept) carrying an origin line + a volitional onward-handoff data flow. Read-only. Consults the attribution registry per `${CLAUDE_PLUGIN_ROOT}/engine/render-conventions.md` consent + privacy gate. Follows the render fleet's shared conventions + consent gate (Check 43 applies via the `-render` name); a standalone shareable-artifact generator, NOT a `/render` dispatcher target. Audience fixed `external` (a hand-it-over artifact).

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。

Translates a user request or PRD document into a structured Design Spec JSON — theme, color, typography, density, and device type. Call this before building Stitch generation prompts.

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 ingesting text samples to extract quantitative writing style metrics. Produces a structured JSON style profile with vocabulary patterns, sentence structure, tone markers, and formatting preferences. Invoke before voice-clone-generator to establish style constraints.

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 structured Product Requirements Documents using hypothesis-driven methodology with Implementation Phases tracking.

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。

Creates structured plans from requirements. Generates comprehensive plans with steps, dependencies, risks, and success criteria. Coordinates with specialist agents for planning input and validates plan completeness. Uses template-renderer for formatted output.

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 production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.

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Generates architecture, database, and system diagrams using Mermaid syntax. Creates visual representations of system architecture, database schemas, component relationships, data flows, and standalone HTML exports.

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。

Generates comprehensive documentation from code, APIs, and specifications. Creates API documentation, developer guides, architecture docs, and user manuals with examples and tutorials.

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 context-aware quality checklists for code review and QA using IEEE 1028 base standards plus LLM contextual additions

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。

Split a bound project manual PDF into individual spec section PDFs and extract searchable text. Triggers: 'split specs', 'break up the project manual', 'separate spec sections', 'extract spec text'. Prerequisite for /submittal-log-generator.

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Extract all submittal requirements from specification sections and generate a comprehensive submittal register in Excel. Triggers: 'submittal log', 'extract submittals', 'submittal register'. Requires /spec-splitter output.

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。

Xiaohongshu (Little Red Book) infographic series generator with multiple style options. Breaks down content into 1-10 cartoon-style infographics. Use when user asks to create "小红书图片", "XHS images", or "RedNote infographics".

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。

Hunt Server-Side Template Injection (SSTI) in Jinja2, Twig, Freemarker, Velocity, Smarty, ERB, Handlebars, Mustache, and Spring (SpEL). Use when input is reflected in a way that suggests template rendering — error pages, email templates, PDF generators, dynamic content systems.

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Implement a generative diffusion model (DDPM or score-based) with noise scheduling, U-Net architecture, training loop, and sampling procedures including DDIM acceleration. Use when building a generative model for image, audio, or molecular synthesis; implementing DDPM from a research paper; adding a custom noise schedule or conditioning mechanism; replacing a GAN-based generator with a diffusion alternative; or prototyping before scaling with production frameworks like diffusers.

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.NET SDK and NuGet tooling conventions: dotnet CLI commands (new/build/run/test/publish/restore/format), NuGet package management (PackageReference, Directory.Packages.props central package management, packages.lock.json), project file conventions (.csproj, .sln, global.json, Directory.Build.props), multi-targeting, and dotnet format. Stack-agnostic — referenced by every .NET plugin in the marketplace. Use this skill to: - Detect the .NET SDK version and run all commands via the dotnet CLI. - Manage NuGet dependencies safely (central package management, no floating versions). - Configure project files and solution-wide properties in Directory.Build.props. - Format code consistently with dotnet format. Do NOT use this skill for: - Framework-specific tooling (dotnet ef migrations, aspnet-codegenerator — those are in aspnet-core-plugin:aspnet-conventions). - Testing patterns — see csharp-foundation:dotnet-testing. - C# language idioms — see csharp-foundation:csharp-conventions.

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Cheminformatics toolkit for fine-grained molecular control. Parse and write SMILES, SDF, MOL and InChI; compute descriptors (MW, LogP, TPSA, QED, Bertz); build fingerprints (Morgan/ECFP, RDKit, MACCS, atom pair, torsion) and score Tanimoto, Dice or cosine similarity; run SMARTS substructure search and reaction SMARTS; generate 2D depictions and ETKDG 3D conformers; extract Murcko scaffolds and canonical hashes; control sanitization and stereochemistry directly. Also trigger on rdkit, Chem.MolFromSmiles, rdFingerprintGenerator, SDMolSupplier, SMARTS query, ETKDG, or FilterCatalog. For standard workflows with a simpler interface use the datamol skill, which wraps RDKit; use rdkit for advanced control, custom sanitization, and specialized algorithms.

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 professional Agent Skills for AI agents. Creates complete skill packages with SKILL.md, references, scripts, and templates. Use when creating new skills, generating custom slash commands, or building reusable AI capabilities. Validates against Agent Skills specification.

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Fix node query issues in Grafema tests when nodes have numeric IDs instead of human-readable IDs, or when `type` field is undefined. Use when: (1) queryNodes returns nodes with numeric IDs like "52710336597754872375318185843222727675" instead of semantic IDs like "net:request#__network__", (2) node.type is undefined but node.nodeType has a value, (3) metadata is a JSON string instead of parsed object, (4) tests fail with "Cannot read property 'length' of undefined" after queryNodes. Covers RFDBServerBackend vs RFDBClient distinction and async generator handling.

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arXiv論文URLからスライドを作成する。(1)論文取得・分析(内部処理)→(2)JSONで保存しダイジェスト提示→(3)確認後スライド生成。分析結果はJSONファイルに保存し、ユーザーにはダイジェストのみ見せる。

arXiv論文URLからスライドを作成する。論文を取得・分析し、スライド構成JSONを保存、ユーザー確認後にgenerate_pptxツールでスライドを生成する。

Generate professional Agent Skills for AI agents. Creates complete skill packages with SKILL.md, references, scripts, and templates. Use when creating new skills, generating custom slash commands, or building reusable AI capabilities. Validates against Agent Skills specification.

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。

This skill should be used when the user asks to "make a Spotify Wrapped style video", "build a year in review / year-in-review video", "create a personalized data video", "generate a recap video", "build a wrapped video generator", "turn a data table into shareable videos", or "make per-user stat videos". Covers the data row → one shareable video pattern, the Wrapped scene grammar (big-number reveals, top-X lists, superlatives), animated data counters, vertical 9:16 framing, and batch-rendering many personalized videos from one template.

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 a professional PDF restaurant report by scanning RESTAURANT-*.md files in current directory and running the bundled Python ReportLab generator

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。