'optimize' 검색 결과

Review and rewrite Twitter drafts using insights from its open-source recommendation algorithm. The skill examines audience fit, replies, sharing, and negative reactions, then explains suggested edits and ways to refine your content strategy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Revise a draft to encourage replies and sharing
• Explore why a tweet received little engagement
• Refine a posting strategy for a specific community

Create and improve agent skills by defining tasks, writing instructions, and testing realistic requests. Compare outputs, success rates, time, and token use, then refine the skill and its description so it triggers appropriately.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a recurring workflow into a reusable skill
• Improve an existing SKILL.md using test feedback
• Compare results with and without a skill

Create and prepare marketing images for blogs, social posts, product showcases, and banners. Choose suitable generation or design tools, plan prompts and layouts, and optimize image dimensions, formats, and file sizes for web use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating blog headers and social sharing previews
• Preparing social graphics and profile banners
• Building product mockups from real screenshots

Audit App Store or Google Play listings across six areas, including text, visuals, and reviews. Get a weighted score, specific copy and image recommendations, optional competitor comparisons, and prioritized changes tailored to the store and brand maturity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an app listing from its store URL
• Improving app titles and descriptions
• Reworking screenshots and preview videos

Optimize scientific Python workloads for NVIDIA GPUs by choosing suitable libraries and reducing bottlenecks. Compare outputs with the CPU version and measure complete processing time, including data transfers, to determine whether the GPU implementation provides a useful improvement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess whether slow Python processing would benefit from a GPU
• Move NumPy or pandas workloads to suitable GPU libraries
• Validate GPU results against CPU outputs

Design, build, debug, and optimize connections to external APIs. The skill covers REST, GraphQL, event notifications through webhooks, authentication, retries, request limits, and logging to help produce integrations whose failures can be traced.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a new external API integration
• Building an API client with retries and authentication
• Investigating failed requests or missing results

Improve workflows involving multiple AI agents by measuring bottlenecks, adjusting workload distribution, and managing model costs. This design guide helps compare changes against a measured baseline while checking quality, latency, and resource use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding bottlenecks in workflows involving multiple agents
• Reviewing task distribution and parallel execution
• Reducing model costs within quality thresholds

Turn recurring tasks into reusable agent skills, or improve skills you already have. Draft instructions, compare test outputs with and without a skill, review quality and resource use, and refine descriptions so skills trigger for appropriate requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a recurring workflow into a reusable skill
• Improve an existing skill using test results
• Compare output quality, runtime, and token use

Improve code through repeated experiments against a measurable target, such as execution time or memory use. After defining scope and constraints, the agent tests changes, keeps improvements, reverts unsuccessful attempts, and logs results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reduce execution time through measured code experiments
• Optimize memory use or bundle size
• Compare changes using benchmark results

Improve LLM prompts using Arize production traces, evaluation results, and human feedback. Extract current instructions, identify recurring failures, revise the prompt, and compare experiments to measure changes in output quality and catch regressions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve a prompt using failed production traces
• Fix responses that use the wrong output format
• Review unsupported answers in retrieval-based responses

Analyze Azure infrastructure definitions, deployed resources, usage metrics, and pricing to identify cost reductions. Rank recommendations by savings, risk, and effort, then create individual GitHub issues and a coordinating EPIC issue after user approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding Azure resources with oversized service tiers
• Comparing storage and database cost reduction options
• Prioritizing savings by risk and implementation effort

Analyze AWS infrastructure definitions, deployed resources, usage metrics, and actual costs to identify savings opportunities. Rank recommendations by savings, risk, and effort, then create individual GitHub issues and a coordinating issue after approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify underused AWS resources
• Estimate monthly savings from configuration changes
• Prioritize cost reductions by risk and implementation effort

Investigate database slowdowns and plan measurable improvements to queries, indexes, caching, and scaling. The skill covers SQL and NoSQL systems, with guidance on monitoring, load testing, migrations, and balancing performance against cost.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze slow SQL queries and execution plans
• Resolve repeated database calls in APIs
• Plan indexes and caching for high traffic

Review a resume against a job description to identify missing keywords and formatting that applicant tracking systems may struggle to read. Get a keyword match score and specific suggestions for wording, placement, and layout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check resume formatting before applying
• Compare resume keywords with a job description
• Revise a resume for a career change

Improve resumes for software engineering, technical product management, data, and DevOps roles. Organize technical skills, connect achievements to business results, and highlight projects in a format suited to applicant tracking systems, software used to process job applications, and recruiters.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize technical skills for a target role
• Rewrite experience to show technical and business impact
• Choose projects to highlight during a career change

Improve a LinkedIn profile with clearer headlines, summaries, experience descriptions, and relevant keywords. The skill provides revised sections and action items to help recruiters understand your background while keeping the profile consistent with your resume.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refresh a LinkedIn profile for a job search
• Rewrite a headline and About section
• Align a LinkedIn profile with a resume

Improve an existing skill’s instructions using benchmark tasks that measure its output. Generate starter tasks, preview costs, and keep version history, with validation checks deciding whether proposed edits can replace the current instructions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve a skill against benchmark tasks
• Create starter evaluation tasks for a new skill
• Retune a skill after changing models

Create or improve AI prompts through a guided conversation about goals, roles, examples, and output formats. Receive a complete, reusable prompt with an explanation of its design, including behavioral boundaries for public-facing AI roles when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving an existing AI prompt
• Designing prompts for product naming
• Defining boundaries for a customer service bot

Create images for Kortix blog headers, social posts, thumbnails, and other placements using its brand guidance. The workflow covers dimensions, image generation, logo and text compositing, and PNG export, with optimized WebP files for web use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a blog header or social link preview image
• Producing social cards and thumbnails
• Framing a screenshot of the real Kortix interface

Audit website images for search visibility and loading performance, then prioritize fixes. Check descriptive text, file sizes, and loading settings, convert files to WebP or AVIF, and add creator and copyright metadata.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit product and article images for SEO issues
• Convert large images to WebP or AVIF
• Fix image loading settings and layout shifts

Transfer a Notion blog draft into an MDX file, a Markdown format with components, for the Wasp website. Preserve text formatting, download and optimize images, and prepare metadata and links according to blog conventions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Move a Notion draft into the Wasp blog
• Convert article images to WebP
• Preserve headings, code blocks, and text formatting

Analyze records of an AI agent’s decisions and tool use to find repeated failures, lost goals, and misunderstood instructions. Use the findings to refine prompts, rerun tasks, and turn debugging lessons into reusable skills.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating repeated agent failures
• Reviewing incorrect tool choices
• Refining prompts through repeated evaluation

Develop or port CPU kernels, the low-level calculation routines used by MNN. Follow staged implementation guidance, check data layout agreements, register functions, and verify correctness across processor instruction sets and numerical precision settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing or porting an MNN CPU kernel
• Adding support for a processor instruction set
• Changing packed data layouts or tile sizes

Find the right workflow for MNN CPU work, from investigating slow execution to implementing calculation routines and planning tests. Compare ARM, x86_64, and RISC-V backend structures before choosing the relevant guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing where to start an MNN CPU performance investigation
• Finding guidance for CPU kernel implementation
• Comparing ARM, x86_64, and RISC-V backend structures