'coding' 검색 결과

Build desktop applications with GPUI Kit, a Rust framework. Guides setup, component selection, state management, themes, and background work, and explains UI integration tests that simulate input and check component behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up a GPUI Kit desktop app
• Implementing forms and data tables
• Organizing state, events, and background tasks

Design infrastructure for agents that run in isolated remote environments. Plan faster session startup, saved work states, shared sessions, authentication, and delivery of code changes and other results back to users.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing infrastructure for background coding agents
• Reducing delays when agent sessions start
• Saving and restoring session work

Write AI tool reviews, setup tutorials, interview preparation articles, and technical explanations, or update existing articles against current source code. The workflow covers research, outline approval, prose checks, and source documentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write a setup tutorial for an AI tool
• Update an article against current source code
• Prepare technical interview explanations

Use Memori Cloud from Claude Code to consult stored preferences, decisions, and project history before substantive work, then save the exchange afterward. Recall can span sessions and use filters for dates and information types.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check previous decisions before coding
• Recall preferences and project requirements
• Review progress after time away

Helps extend how much text a language model can process at once. Covers choosing RoPE, YaRN, ALiBi, or position interpolation, implementing position information, fine-tuning on longer documents, and managing memory during inference.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extend an existing model to handle longer documents
• Compare context extension methods
• Implement position information in attention layers

Build LLM serving workflows that produce JSON or other required formats. The skill covers reusing computation for shared prompts, tool calls, and ongoing conversations, with examples for server setup and structured output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting article details into JSON
• Building agents that call tools
• Reusing shared prompts across conversations

Combine specialized language models without retraining using mergekit. The skill explains how to choose merging methods, configure each model’s contribution, compare resulting variants, and prepare a merged model for evaluation and deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine math, coding, and conversation capabilities
• Compare model variants with different merge weights
• Choose a method for merging several models

Document how a research or coding session evolved after the work is complete. The skill extracts decisions, experiments, failed approaches, and claims into ara/ files, distinguishing user statements from AI suggestions and actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Record the reasons behind research decisions
• Preserve failed experiments and their lessons
• Distinguish user decisions from AI suggestions

Evaluate code generation models with HumanEval, MBPP, and multilingual benchmarks. The skill guides test execution and model comparisons using pass@k, an estimate of whether at least one of k generated solutions passes the tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare code generation models on shared benchmarks
• Measure code generation performance across languages
• Evaluate instruction-tuned coding models

Index reference libraries locally with XERJ and retrieve relevant implementations before coding. Use the retrieved source to understand unfamiliar API behavior, port algorithms, or investigate errors that repeated attempts have not resolved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking how an unfamiliar API behaves
• Porting an algorithm from a reference implementation
• Investigating errors after repeated failed attempts

Test polly's coordination of coding agents using a scripted mock language model and live command-line tools. Check startup, task dispatch, safety rules, parallel delegation, and whether real agents make appropriate orchestration decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reproducing polly orchestration bugs
• Checking safety rules with a mock language model
• Verifying delegation and cross-review with real agents

Inspect game code, data files, live memory, and graphics captures to understand the internals needed for a mod. Choose tools for the game’s technology, document findings, and validate unknown file formats by decoding and re-encoding them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding boss behavior or damage calculations
• Investigating an undocumented game file format
• Locating player coordinates in live memory

Recover readable text from PDFs when read_file or Python extraction fails. Use pdftotext, a command-line text extractor, with options to preserve layout, specify character encoding, or save extracted content to a file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering text after PDF reading fails
• Extracting text while preserving page layout
• Saving text from large PDFs to a file

Check which H.264 video encoders are available before writing FFmpeg scripts. Choose an available encoder or copy an existing video stream when appropriate, then test a short clip to catch compatibility problems before processing the full file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking encoders before writing a video conversion script
• Testing a short clip before processing a full video
• Changing containers without re-encoding video

Delegate coding, infrastructure operations, web research, and desktop automation to OpenSpace through MCP, a connection for agent tools. Search and import reusable skills, request repairs for broken workflows, and upload trusted skills with public or private visibility.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegating tasks that need unavailable tools
• Handing off complex tasks across multiple environments
• Finding and importing reusable cloud skills

Creates custom Semgrep rules to detect vulnerabilities, bug patterns, or coding standard violations. Builds tests for unsafe and safe examples, then validates and refines each rule to check for false alarms and missed cases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating detection rules for recurring bug patterns
• Tracking untrusted input reaching dangerous operations
• Enforcing coding standards with custom rules

Turn an early software idea into a concrete recommendation or implementation plan. Assess whether to build, compare approaches, and define success criteria, constraints, tests, and handoff steps so another engineer or agent can proceed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a new feature before coding
• Assessing whether a feature is worth building
• Choosing a software architecture

Turn AI-assisted coding work into optional, short learning exercises. Predict behavior, compare your approach with the implementation, or explain code in your own words, with feedback that helps clarify how the code works and why design choices were made.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding a newly created module
• Reviewing the reasoning behind a design decision
• Checking understanding after a database schema change

Guide an AI agent through code changes with explicit assumptions, simple implementations, focused edits, and testable goals. Use it for bug fixes, features, refactoring, or reviews to reduce guesswork and unnecessary changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fixing a bug with a test that reproduces it
• Adding a feature without expanding its scope
• Refactoring while preserving existing behavior

Create SVG illustrations of active figures using one continuous black line and offset color patches that resemble misaligned printing. The skill guides poses, colors, composition, rendering, and visual checks for product pages and announcement cards.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Illustrations for empty states and 404 pages
• Playful figures for onboarding screens
• Artwork for blog headers and launch announcements

Create SVG illustration cards of people working with laptops, screens, and design components. Follow a defined pastel palette, violet frame, thin navy outlines, and overlapping speech bubbles to produce matching artwork for product pages, onboarding, and team content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create illustrations for support or team pages
• Add matching artwork to onboarding and 404 screens
• Draw people designing interfaces or coding

Configure coding agents, AI SDKs, and HTTP clients to send model requests through AntSeed’s local proxy. Find available providers and models, select a provider, set compatible API endpoints, and verify request usage and payment activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect Claude Code or Codex to AntSeed
• Configure a local endpoint for AI SDKs
• Compare providers’ models, protocols, and prices

Coordinates a mathematical modeling competition project from planning to final checks. It records formatting and language preferences, creates a plan and task checklist, and calls dedicated skills for modeling, coding, diagrams, paper writing, and verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a mathematical modeling competition project
• Planning work around competition and formatting preferences
• Tracking progress across modeling and paper-writing stages

Research new security advisories for coding agents and MCP, the protocol connecting agents to tools. Update AgentSec Triage records with source evidence and regression tests, then validate generated artifacts and synchronize the approved feed with dependent guides and pages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refreshing threat records from recent security advisories
• Checking affected versions and fixes against primary sources
• Testing detector behavior for accepted threat records