“dan”的搜索结果

Search Danish job listings on Jobdanmark.dk by role, location, and employment type. Retrieve matching vacancies, read posting details and application deadlines, or view current job counts across categories to explore available work.

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• Find full-time IT jobs in Copenhagen
• Look for student jobs in Aarhus
• Check a job description and application deadline

Build Python APIs with FastAPI and Pydantic V2, including input validation, database operations that avoid blocking other work, and token-based authentication. Implement REST or WebSocket endpoints, then check their behavior with automated tests and generated API documentation.

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• Build REST APIs with FastAPI
• Validate input data with Pydantic V2
• Implement JWT authentication and authorization

Search Denmark’s official Jobnet.dk portal by occupation, region, distance, working hours, or employment duration. Retrieve full job descriptions, employer contacts, deadlines, and application links, and explore Danish job titles to refine searches.

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• Finding Danish jobs by occupation and region
• Searching within a set distance of a postal code
• Filtering by working hours and employment duration

Rewrites scene descriptions using professional cinematography language, structures prompts with a six-slot formula (camera + subject + action + setting + style + lighting), and diagnoses content filter rejections via a preflight linter. Use whenever the user asks for a Seedance 2.0 / Seedance Pro prompt, describes a scene for Seedance generation, mentions Seedance, reports a Seedance generation failure or flagged prompt, or is burning credits on Seedance regenerations.

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Generate 4–30 second videos with synchronized audio using ByteDance Seedance 2.5. Organize image, video, and audio references, write shot-by-shot prompts, and define continuity rules to keep characters and locations consistent across cuts.

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• Generating short videos with synchronized audio
• Planning multi-shot scenes with consistent characters and locations
• Building video prompts from image, video, and audio references

Find Danish job listings on Jobindex.dk using job titles, skills, companies, or city names. Filter by posting age, sort by relevance or date, and retrieve full descriptions, employment conditions, deadlines, and application links.

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• Finding Danish jobs by role or skill
• Searching for jobs using a Danish city name
• Reviewing jobs posted today or during the past week

Seedance 2.5 prompt director — the omni-reference dialect. Routes the four generation modes (t2v / omni_reference / video_edit / video_extension), writes explicit @Image/@Video/@Audio reference roles with exclusions, stages 30-second videos into end-state beats, and covers video editing, forward/backward extension, first-last-frame and multi-keyframe control, storyboard grids, blockout rendering, and seamless transitions. Use whenever the user asks for a Seedance 2.5 prompt, mentions Seedance 2.5 / Dreamina / Jimeng, wants a clip longer than 15s on Seedance, wants to EDIT or EXTEND an existing video rather than generate a new one, or supplies more than a handful of image/video/audio references. For Seedance 2.0 (4K, `mode=fast`, or a genre hint) use higgsfield-seedance instead.

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火山方舟 Seedance 模型使用指导技能。用户询问 Seedance/seedance2.0/doubao-seedance-2-0/doubao-seedance-2-0-fast/seedance2.0-mini等seedance系列模型的火山方舟接入、API 调用、参数、任务创建、任务查询、结果获取、计费开通、报错排查、SDK、最佳实践时优先调用本技能；当用户提供火山引擎官网文档链接（形如 https://www.volcengine.com/docs/*）并要求解读、总结、提炼、查询其中规则或基于文档回答时，也应调用本技能并通过 fetch 获取文档全文；普通提问使用 ServiceCodes: ark 检索火山方舟官方文档。

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使用JSON、正则表达式、Pydantic类型定义或固定选项约束LLM输出，将文字中提取的信息和分类结果整理为便于后续程序使用的格式。

• 从文字中提取企业和产品信息
• 按固定标签分类评论
• 按字段整理个人资料

Generate cinematic clips with Seedance 2.0 using camera directions, multiple shots, and synchronized speech, sound effects, and ambience. Reference images help maintain character appearance, while the skill guides prompt structure, provider selection, previews, and checks of the finished clips.

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• Producing trailers and teaser clips
• Generating multiple shots with a consistent character
• Creating dialogue scenes with matching mouth movements

Guides Python agent development with PydanticAI, covering tool calls and structured outputs checked against defined data types. Explains service injection, provider switching, streaming responses, and tests that run without calling a real language model.

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• Building agents that return validated structured data
• Connecting customer support agents to order data
• Testing agent logic without real model calls

Retrieve your own attendance clock records from 飞书 through lark-cli. The skill fills in fixed query parameters and uses read-only attendance access to look up the records you want to check.

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• Checking your own attendance clock records
• Reviewing recorded clock-ins and clock-outs
• Asking an agent to retrieve attendance records

为FastAPI应用开发与审查提供支持，涵盖项目结构、输入验证、身份验证、权限检查、异步处理、数据库更新及测试的设计与实现。

• 规划FastAPI应用结构
• 定义并验证输入输出数据格式
• 审查身份验证和操作权限

Move Python application settings out of code and into environment variables. Use pydantic-settings to check value types and required fields at startup, organize development and production settings, and keep secrets out of version control.

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• Replace hardcoded settings with environment variables
• Separate development and production configuration
• Detect missing settings at application startup

Build workflows that extract structured data from LLM responses, check field types and values with Pydantic, and retry failed extractions. Includes examples for nested data, classification, and receiving results as they are generated.

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• Extracting contact and company details from text
• Classifying articles into predefined categories
• Checking review analysis against validation rules

Build workflows that extract structured data from LLM responses, check field types and values with Pydantic, and retry failed extractions. Includes examples for nested data, classification, and receiving results as they are generated.

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• Extracting contact and company details from text
• Classifying articles into predefined categories
• Checking review analysis against validation rules

Verified prompt templates and structures for Seedance 2.5 / 2.0 video generation, distilled from the highest-performing published cases on goodcase.ai. Use when the user asks to write, revise, or review a Seedance video prompt, or asks how to prompt Seedance for a specific kind of shot (narrative short, ad/commercial, UGC talk-to-camera, dialogue with lip-sync, action, product reveal, retro home video, travel film, pet or animal lead, comedy skit, horror, fantasy or sci-fi spectacle, 3D cartoon, car spot, fashion film, sports, storyboard image to video, and similar). Also use when the user names Seedance, 即梦视频, or Seedance 2.5/2.0 directly.

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Use when the user says 'convert this html to breakdance' or 'paste html into breakdance', or has a Webflow, Framer, CodePen, or old static export to bring into a Breakdance site. Converts raw HTML and CSS into native EssentialElements nodes in _breakdance_data, mapping colors, type, and spacing to Breakdance Variables, and refusing element types Breakdance would skip-render.

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Extract information from text into defined fields, then check types and values with Pydantic, a Python data validation library. The skill covers structured LLM responses, automatic retries after validation failures, and streaming results as they are generated.

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• Extracting contact or company details from text
• Classifying articles into predefined categories
• Organizing review analysis into consistent fields

Evaluate 3D point clouds and movement trajectories against reference data with CloudAnalyzer. Prepare inputs, measure differences, apply quality thresholds, inspect results visually, and track baseline history for mapping, localization, and perception workflows.

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• Compare a generated point cloud with reference data
• Measure errors in estimated movement trajectories
• Check ground segmentation against quality thresholds

Implement Python error handling with early input checks, appropriate exception types, and clear messages. Handle individual failures in batch jobs, preserve error context for debugging, and use Pydantic models to validate structured input.

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• Validating user input and API parameters
• Designing exception types and clear error messages
• Continuing batch jobs after individual failures

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

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• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

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• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

This skill should be used when the user asks to "search for exposed devices on the internet," "perform Shodan reconnaissance," "find vulnerable services using Shodan," "scan IP ranges with Shodan," or "discover IoT devices and open ports." It provides comprehensive guidance for using Shodan's search engine, CLI, and API for penetration testing reconnaissance.

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