'deterministic' 검색 결과

This skill should be used when the user asks to "calculate child support", "養育費を計算", "婚姻費用を計算", "養育費月額", "婚姻費用分担額", "算定表で計算", or wants deterministic computation of child support or marital cost-sharing under the 令和元年改定 standard.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

This skill should be used when the user asks to "recalculate debt", "利息制限法で引き直し", "引き直し計算", "過払金", "過払い金", "サラ金", "貸金業者との取引履歴から引き直し", or wants deterministic recalculation of loan transactions under the Interest Rate Restriction Act.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Busabase App-in-Skill dashboard over a fixed, deterministic mock user-behavior funnel dataset (browse → search → compare → booking attempt/abandon → complete) for a generic consumer booking product. Use when the user invokes $kelly-behavior-predict or /kelly-behavior-predict, wants to review funnel drop-off, per-segment predicted next actions, or backtest a rule-based "predicted next action" heuristic against a mock historical sample. Fully deterministic mock data and a hand-recomputable rule — never a real ML/LLM model, never a live system.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Tunes the CARLA Traffic Manager that drives autopilot vehicles — global and per-vehicle speed, following distance, running lights/signs, lane-change behaviour, lane offset, TM-managed lights, deterministic seed, hybrid physics, and TM sync mode. Use when the user asks to "make the traffic faster/slower", "let cars run red lights", "keep more distance", "stop lane changes", "make traffic deterministic", or otherwise change how autopilot cars behave. For manually driving one car, use control-vehicle.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MCP 서버를 실행하지 않고 설정을 읽어 승인 후에도 다른 코드를 가져올 수 있는 참조를 확인합니다. npm, Python, Docker의 버전 지정을 분류합니다.

• 승인 전에 MCP 설정을 검토합니다
• latest 태그와 버전 범위를 확인합니다
• CI에 재현 가능한 설정 검사를 추가합니다

프로젝트 문서 정리 요청에 맞는 전문 스킬을 선택합니다. 요청 시 문서 역할, 로컬 링크, 설계 결정 기록 색인과 근거 참조를 파일 변경 없이 점검합니다.

• 프로젝트 문서 정리 절차 선택
• 기존 문서의 정보 출처 파악
• 로컬 링크와 설계 결정 색인 점검

웹 전자 서명 화면에서 서명·날짜·텍스트 필드를 숫자 좌표로 배치하는 절차를 정리합니다. 서명자별 필드 배정을 확인하고 전송 전 초안과 스크린샷 검토를 다룹니다.

• 생성한 계약서의 서명 필드 준비
• 필드에 배정된 서명자 확인
• 검토용 초안과 스크린샷 보관

Claude Code의 작업 상태, 결정 사항과 다음 단계를 프로젝트별로 저장합니다. 다른 세션에서도 요약을 불러와 이전에 중단한 작업을 이어 갈 수 있습니다.

• 종료 전에 진행 상황과 다음 단계를 저장합니다
• 이전 세션에서 하던 작업을 재개합니다
• 여러 프로젝트의 상태를 확인합니다

Create a vertical reading recap using annual reading statistics, book notes, interests, and a reader profile. This HyperFrames template combines warm paper textures and page-turning motion in an HTML composition intended for MP4 video.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning annual reading statistics into a vertical video
• Recapping book notes and recurring interests
• Sharing a book club's year in reading

Create a custom animated Codex pet from text or reference images. Generate consistent poses, assemble them into a spritesheet, an image containing animation frames, and package the result with configuration files, visual checks, and preview videos.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a Codex pet from a text concept
• Turn character art into an animated pet
• Repair inconsistent animation poses

Verify RuView pipeline output against a reference hash, package evidence for others to check, and review accuracy statements. The skill distinguishes measured, claimed, and synthetic results and requires real device logs for hardware validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking pipeline output against a reference hash
• Preparing a release evidence bundle for independent verification
• Reviewing accuracy statements in reports and READMEs

Verify RuView changes with Rust and Python tests, output hashes that detect processing changes, and firmware hash records. Packages test logs and audit evidence into a witness bundle that recipients can check with a single command.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify a RuView build after significant changes
• Check tests and documentation before merging a PR
• Prepare a verification bundle for a recipient

Find Python input/output calls that may stall asynchronous backend work, then fix or guard each relevant path with runtime tests. Verify that tests fail when blocking behavior returns and pass after the fix is restored.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking asynchronous Python changes before a pull request
• Triaging blocking input/output across the codebase
• Adding tests for cleanup and error branches

Track documented code fixes across releases with a signed manifest, a list of fixes and their identifying text. Verify that markers remain in source files, inspect file changes, and use recorded history to identify commits associated with regressions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check that documented fixes remain before a release
• Trace a regression through release history
• Verify signed fix records in CI

Apply simple code changes across files without calling an LLM, using agent-booster's local transformation engine. The skill checks a confidence score before saving results and records outcomes for cost tracking and future routing decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Apply repetitive code changes across many files
• Remove console statements
• Run repeatable code transformations in CI

Build HyperFrames animations from small motion recipes, scene templates, and transitions. The skill guides runtime selection, including GSAP, Lottie, and Three.js, and provides an audit script to examine timing and choreography while following HyperFrames requirements for reproducible rendering.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine motion recipes into a scene
• Build a multi-phase brand reveal from a template
• Design transitions between scenes

Structure an HTML video project for HyperFrames, with explicit clip timing, tracks, reusable scene sections, and framework-controlled media playback. Provides rules for repeatable rendering and checks to identify composition problems before producing the final video.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create the HTML structure for a video project
• Organize clip timing and tracks
• Connect reusable scene sections

Build editable Three.js worlds from text or structured briefs, with terrain, distinct regions, landmarks, vegetation, and camera paths. Review the environment from multiple viewpoints and refine selected areas while preserving the overall layout and reproducible settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a continuous 3D landscape from a written brief
• Plan a camera fly-through across distinct regions
• Refine one area's terrain or vegetation placement

Build and validate HTML video projects in HyperFrames. It guides scene structure, clip timing, reusable sub-scenes, and audio and video placement, with rules that keep playback predictable and rendered frames consistent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an HTML video project in HyperFrames
• Set clip timing and arrange tracks
• Combine reusable sub-scenes

Build and review HyperFrames animations using motion recipes, scene templates, and transitions. Find guidance for seven animation runtimes, including GSAP and Three.js, and inspect existing scenes for timing gaps and inconsistent motion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine motion recipes for text and shapes
• Build scenes with several animation phases
• Choose an animation runtime

Check a Twenty pull request through real browser scenarios derived from its changes. Verify database effects and server logs alongside visible results, then produce screenshots, a structured verdict, and a report of any failures or uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Validate user flows before or after merging a Twenty pull request
• Check database writes and timeline activity after saving records
• Investigate backend errors hidden behind a successful screen

Simulate concentration changes over time from biochemical models in SBML or Antimony, and compare fixed parameter conditions. Checks model units and exports CSV results plus COMBINE archives containing models and experiment settings, then replays them to compare results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Calculate concentration changes in reaction networks
• Compare baseline and altered kinetic parameters
• Inspect model units and consistency warnings

Estimate RNA velocity, the modeled direction of gene expression change, from single-cell spliced and unspliced counts. Fit models, inspect gene-level plots, visualize trajectories, and explore relative timing and associated genes while checking model limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore hypotheses about directions of cell-state change
• Inspect gene-level RNA velocity model fits
• Estimate relative cell ordering with a dynamical model