“code generation”的搜索结果

The art-route layer of the Forge skills. route_media.py is the one command that generates an image or an image-to-video clip - through the paid API of any provider whose key is configured (OpenAI, Google Gemini, xAI, BytePlus ModelArk, fal.ai; the configured key is the owner's consent), else through the user's own signed-in Codex or Grok CLI - and prints one JSON line with the route, artifact, sha256 and cost estimate; with no route it answers no-route (codeart2d is then the last resort). Also the capability check (forge_doctor), API key configuration, the spend ledger, resume and Codex image adoption. Use when a Forge skill sends a generation here, for the capability check, or when the user asks about keys, routes or spend. Not for planning, processing or QA of sprites, video frames or maps (generate2dsprite, video2dsprite, generate2dmap) or for code-drawn art (codeart2d).

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Professional code review with auto CHANGELOG generation, integrated with Codex AI. Use when you want professional code review before commits, you need automatic CHANGELOG generation, or reviewing large-scale refactoring.

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生成照片风格图像、插画和产品效果图，也可替换现有图像的背景、移除多余物体或制作透明背景，并根据参考图探索不同方案。

• 制作网站主视觉图
• 预览产品或包装的成品效果
• 移除多余物体或替换背景

Work with AI as a coding partner, choosing who writes code and who guides the work. Supports role switching, test generation, ongoing code review, debugging, and step-by-step explanations for learning.

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• Write code with ongoing AI review
• Direct AI implementation while reviewing its output
• Develop features by writing tests first

Work with AI as a coding partner, choosing who writes code and who guides the work. Supports role switching, test generation, ongoing code review, debugging, and step-by-step explanations for learning.

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• Write code with ongoing AI review
• Direct AI implementation while reviewing its output
• Develop features by writing tests first

Look up current library and framework documentation with Context7 to explain setup, configuration, and APIs. Retrieve relevant code examples, prefer official packages, and use documentation for a specified version when available.

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• Finding framework setup and configuration steps
• Looking up library API references
• Finding code examples for implementation

Design Azure infrastructure from plain language or visualize existing resources as interactive diagrams. Refine the architecture through conversation, then generate Bicep infrastructure code, review it, and validate changes before deployment.

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• Designing a new Azure architecture
• Visualizing existing Azure resources
• Planning cost or security changes

Plan customer acquisition through paid ads, SEO, and partnerships for growing B2B SaaS startups. Includes campaign templates, customer acquisition cost calculations, and HubSpot tracking guidance to connect marketing activity with sales opportunities.

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• Planning campaigns across ads, SEO, and partnerships
• Reviewing ad budgets and customer acquisition costs
• Designing campaign tracking in HubSpot

Generate images from written descriptions through 9Router using a choice of image models. Check each model’s supported settings, request an image, and receive a URL, encoded image data, or image bytes for saving to a file.

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• Creating a landscape image from a written description
• Checking supported image sizes and quality settings
• Saving generated images as files

Ask AI questions, generate code, and summarize text through 9Router using OpenAI or Anthropic request formats. Receive responses incrementally with streaming, and use provider combinations that automatically try another provider when needed.

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• Ask an AI model questions through 9Router
• Generate code from written instructions
• Summarize text with a selected model

Use Outlines to make language models produce data in a defined format. The skill covers extracting information into JSON, restricting classification labels, and applying Pydantic models, which define fields and data types, with local model backends.

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• Extracting company or profile details into JSON
• Classifying text using a fixed set of labels
• Generating text that matches a specified pattern

Reduce LLM generation delays with speculative decoding, which proposes tokens ahead of verification. This skill compares small draft models, Medusa, and Lookahead Decoding, with implementation examples, tuning guidance, and deployment using vLLM.

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• Reducing response delays in chatbots
• Speeding up code generation
• Choosing a small model to draft candidate tokens

Recover failed Python tasks by saving the code as a script and running it through the system shell. The workflow covers spreadsheet generation, data processing, output verification, and troubleshooting missing packages, paths, or permissions.

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• Retry spreadsheet generation after a sandbox failure
• Rerun data processing that timed out
• Run scripts with system-installed Python libraries

Recover from failed inline Python execution by saving the code as a script, running it through the shell, and checking the output. The four-step workflow helps diagnose errors in multiline code and spreadsheet generation tasks.

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• Recovering from failed inline Python execution
• Diagnosing heredoc parsing errors
• Debugging complex multiline scripts

Recover failed Python tasks by saving the code as a script and running it through the shell. Provides steps to inspect errors and confirm generated files for spreadsheet creation, data processing, and calculations.

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• Retry failed Excel or CSV generation
• Resume data transformations after a sandbox error
• Investigate Python errors through shell output

Convert Markdown into Word, PDF, and HTML using a workflow suited to the document. Simple files use direct delegation, while documents with special characters use separate conversion steps, character replacement, and output checks.

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• Creating a simple Word document from meeting notes
• Exporting one document to several formats
• Converting documents containing special characters to PDF

Generate ASP.NET Core pages, components, or API endpoints for creating, reading, updating, and deleting database records. Follow the project's existing styling and code conventions, with database migrations and verification of the generated functionality.

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• Add database-backed record management pages
• Generate Minimal API endpoints for a model
• Create Blazor forms that match existing styling

Guide bug bounty work from checking authorized scope and discovering assets to testing web and AI features. Validate practical impact, investigate related weaknesses, and organize reproducible evidence into a vulnerability report.

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• Planning research for a new bug bounty target
• Reviewing source code for security weaknesses
• Testing chatbot and AI feature security

Compile and improve existing English or Chinese academic papers written in Typst. Check references, formatting, prose, argument flow, abstracts, tables, and pseudocode, with source-level review comments and support for adapting papers to another publication venue.

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• Diagnosing Typst compilation and export errors
• Validating BibTeX or Hayagriva references
• Reviewing abstracts and the logic of paper sections

Check and improve existing English LaTeX papers, from compilation errors and bibliography issues to grammar, figures, tables, and pseudocode. Receive focused review comments and suggested fixes, with checks tailored to specific sections or publication venues.

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• Diagnosing LaTeX compilation and bibliography errors
• Polishing grammar and shortening dense sentences
• Checking figures, tables, and pseudocode before submission

Work with AI as a coding partner, choosing who writes code and who guides the work. Supports role switching, test generation, ongoing code review, debugging, and step-by-step explanations for learning.

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• Write code with ongoing AI review
• Direct AI implementation while reviewing its output
• Develop features by writing tests first

Explicit-only last resort. Draws game art from code, with no image model - pixel sprites from a PixelSpec, flat vector props, UI and icons from portable SVG, rigged characters with planted feet, FX with a JS runtime, seam-proven autotiles, playable top-down layouts with collision, stylized parallax and ambient plate motion - palette-exact, with QA and review sheets. Use only when the user explicitly asks for code-drawn art, or when generate2dmedia route_media.py finds no image or video route (no-route, exit 3). Never the default - image generation (generate2dsprite, generate2dmap, video2dsprite) comes first for characters, props, maps and FX. Not for painterly, detailed or likeness art, HD-2D plates or realistic fire, smoke or water. Always disclose the result as code-drawn.

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Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, speech generation (TTS), voice design, voice replication, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. Covers SDK usage and best practices for Gemini models and agents in Python and TypeScript.

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Optimize Anima code generation performance with caching, parallelism, and output tuning. Use when reducing generation latency, optimizing batch component generation, or improving generated code quality for production use. Trigger with: "anima performance", "anima slow", "anima optimization", "anima caching".

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