'vision' 검색 결과

Update Remotion’s FFmpeg dependency to a published rust-ffmpeg commit, refresh the dependency lockfile, and rebuild compositor binaries for all supported platforms. Validate the changes and open a draft pull request with source revisions and build results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Apply a published rust-ffmpeg revision to Remotion
• Rebuild compositor binaries for all supported platforms
• Verify Windows runtime library dependencies

Provision a PostgreSQL database with Neon Instagres and save connection settings for application use and migrations. Includes setup examples for Drizzle and Prisma, initial data loading, and claiming a temporary database to keep using it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Provision a PostgreSQL database for development
• Configure database access with Drizzle or Prisma
• Load a SQL file with initial data

Support product strategy with market and competitor analysis, vision setting, team design, and performance measures. Includes a Python script that turns company objectives into linked product and team goals and calculates alignment scores.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning company goals into product and team goals
• Analyzing markets and competitors
• Defining product vision and KPIs

Build image captioning, visual question answering, and text-based image search with BLIP-2. The skill explains model selection, batch processing, and memory-saving settings, with Python examples for connecting image understanding to language models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating captions for multiple images
• Building a question-answering system for images
• Searching an image collection with text

Build image classification and search workflows by comparing images with text descriptions. Covers classification without additional training, similarity scoring, batch processing, and storing image representations in a vector database for retrieval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classifying images without additional training
• Searching image collections with text descriptions
• Comparing images with candidate descriptions

Guide product strategy for growing companies by assessing customer fit, product investment priorities, and team structure. Produces scorecards, portfolio recommendations, organization proposals, and board reporting materials to support decisions about what to build and fund.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Defining a product vision for the next three to five years
• Assessing product fit using retention and customer feedback
• Choosing which products to invest in, maintain, or retire

Review a FastMCP pull request for justified behavior, implementation correctness, and compatibility. Independently check the proposed change, assess automated checks and reviewer feedback, and report a verdict tied to the exact revision examined.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a draft or ready FastMCP pull request
• Checking local changes before publication
• Reassessing a revision after checks and review feedback

Review game interface specifications, HUD designs for information shown during play, and shared interaction rules before implementation. Check completeness, accessibility, and consistency with game design documents, then receive a verdict with specific issues and missing review inputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a screen specification before implementation
• Reviewing HUD information and display priorities
• Checking consistency across shared interaction patterns

Inspect GKE TPU Dynamic Slices, diagnose provisioning failures, and validate workload configuration for single slices or JobSet workloads spanning multiple slices. Get cleanup commands, with confirmation required before destructive changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking TPU slice lifecycle states
• Diagnosing TPU slice provisioning failures
• Validating single-slice and multi-slice JobSet manifests

Read PDFs, Office files, web documents, and large text files to answer questions, summarize content, compare sources, or extract tables and key points. Use OCR, text recognition from images, when vision tools cannot read document text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find conclusions and deadlines in a report
• Compare requirements across document versions
• Extract text from scans when vision tools fail

Build image captioning, visual question answering, and text-based image search with BLIP-2. The skill guides model selection, batch processing, and memory optimization, with examples for understanding images without training for each specific task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate captions for multiple images
• Build a question-answering system for images
• Search an image collection using text

Guides image classification and search with OpenAI's CLIP by comparing images with text descriptions, without additional training. Includes batch processing, image-text matching, and category-based checks for potentially inappropriate images.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classify images using text labels without additional training
• Search an image collection with natural-language descriptions
• Compare how closely images match text descriptions

Trace changes across an original contract and its amendments. Get a chronological overview or follow one clause through successive revisions, with section references, current wording, and flags for conflicting or unclear language that needs legal review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarize a contract’s amendment history
• Find the current wording of a specific clause
• Track changes to fees or liability limits

Connect an AI agent to OpenServ, register its workflows, and configure scheduled, webhook, manual, or paid requests. The skill covers account setup, credentials, model settings, cloud deployment, and blockchain-based agent identity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Register an agent and its workflow on OpenServ
• Run tasks on a schedule or through webhooks
• Charge callers for each agent request

Turn articles, notes, or code history into talk preparation materials, including angles, titles, scripts, slide drafts, and revision sheets. Coordinate the stages with user checkpoints, or run an individual stage again.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a talk from articles or notes
• Build an experience report supported by Git history
• Develop a script after choosing an angle and title

Turn talk scripts, slides, and concept notes into reference sheets with section navigation, definitions, shareable links, a glossary, and six to ten anticipated questions with short answers for live Q&A and attendee follow-up.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing short answers for a talk's Q&A session
• Creating a reference sheet to share with attendees
• Keeping definitions handy during a live presentation

Revise a LaTeX academic manuscript using internal review comments, annotations, or tracked changes. Compare original passages with proposed revisions, approve each change individually, and receive a summary of applied and skipped items.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Revise a manuscript using an internal review report
• Review annotations and tracked changes one at a time
• Draft a review report before revising a paper

Plan and draft academic papers through specialized agent roles covering literature, arguments, citations, and review. Get chapter guidance, revision roadmaps, Traditional Chinese and English abstracts, and documents formatted as LaTeX, DOCX, PDF, or Markdown.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a paper chapter by chapter
• Drafting a paper from research materials
• Turning reviewer comments into a revision roadmap

Polishes academic English paragraph by paragraph while preserving the author's meaning and technical content. Reviews grammar, word choice, voice, logical flow, and sentence structure, providing specific revision reasons alongside complete polished paragraphs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Polishing English before journal submission
• Checking articles and tense in academic writing
• Improving flow across Introduction paragraphs

Get a simulated peer review of a paper, abstract, or selected sections. Receive assessments of originality, methods, results, and writing, with specific revision suggestions, severity ratings, and a prioritized checklist for improving the manuscript.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run a simulated peer review before submitting a paper
• Check whether methods and conclusions are adequately supported
• Review an abstract for novelty and clarity

Save design documents with branch, author, and revision history so later sessions can recover earlier decisions. Keep previous versions intact, search related designs, and carry constraints and recommendations into implementation or review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Save design decisions after planning
• Trace revisions for a Git branch
• Recover design context in a later session

Inspect files with Apache Tika to identify their actual format, embedded content, revision traces, and risk indicators. Save extracted evidence and file hashes while distinguishing recorded claims from observed structure, without asserting authorship or validating signatures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triaging suspicious files and misleading extensions
• Reviewing recorded authors, dates, and creating applications
• Comparing earlier PDF revisions with the final version

Review scientific manuscripts and grant proposals using structured checklists. Assess methods, statistics, reproducibility, ethics, and reporting completeness, then organize findings into a balanced report with major concerns, minor comments, and specific suggestions for revision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a structured journal peer review
• Reviewing methods in a grant proposal
• Checking a manuscript before revision

Use this skill to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox parser, multi-stream benchmark, and PDF report. Object detection models only.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.