'dap' 검색 결과

Designs adaptive clinical trials including group-sequential (O'Brien-Fleming, Pocock, Lan-DeMets spending), sample-size re-estimation (blinded Friede-Kieser, unblinded Cui-Hung-Wang, Mehta-Pocock promising zone), seamless Phase 2/3 with treatment-arm selection, population enrichment, and response-adaptive randomisation. Covers FDA 2019 Final Adaptive Designs Guidance, FDA 2022 Master Protocols, and ICH E20 Step 2b/3 draft (June 2025, NOT final). Use when planning interim analyses, sample-size re-estimation, or master/platform-trial designs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

The original reddapi.dev Reddit search skill (vector search, semantic search, trends, subreddit discovery), no Reddit OAuth or app registration needed. This is the same engine now packaged as reddit-research with added market-research playbooks and a fuller pitch on semantic vs keyword search; reddapi is kept live under its original name for existing installs and works standalone. Use when the user says 'reddapi' by name, or wants a minimal drop-in Reddit search skill without the extra research-workflow guidance. For the expanded research-oriented version with query playbooks, see reddit-research. For B2B lead scoring, see reddit-leads. For a bare API reference, see reddit-search-api.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

dotfiles本体を中央 engine で保全commit、no-rebase merge、adapter再生成、submodule整合、pushまで同期する。最上位のセッションがdotfiles管理下のファイル（グローバルの CLAUDE.md・AGENTS.md・Skill・設定など）を変更した作業では、完了時に自動起動する。自然言語トリガー例: 「dotfilesを同期して」／「dotfilesの変更を保全して」／「adapterを再生成して同期して」／「dotfilesをpushして」。スキル・プラグインのupstream更新確認は check-updates を使い、このスキルはdotfiles本体を扱う。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs adaptive clinical trials including group-sequential (O'Brien-Fleming, Pocock, Lan-DeMets spending), sample-size re-estimation (blinded Friede-Kieser, unblinded Cui-Hung-Wang, Mehta-Pocock promising zone), seamless Phase 2/3 with treatment-arm selection, population enrichment, and response-adaptive randomisation. Covers FDA 2019 Final Adaptive Designs Guidance, FDA 2022 Master Protocols, and ICH E20 Step 2b/3 draft (June 2025, NOT final). Use when planning interim analyses, sample-size re-estimation, or master/platform-trial designs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs adaptive clinical trials including group-sequential (O'Brien-Fleming, Pocock, Lan-DeMets spending), sample-size re-estimation (blinded Friede-Kieser, unblinded Cui-Hung-Wang, Mehta-Pocock promising zone), seamless Phase 2/3 with treatment-arm selection, population enrichment, and response-adaptive randomisation. Covers FDA 2019 Final Adaptive Designs Guidance, FDA 2022 Master Protocols, and ICH E20 Step 2b/3 draft (June 2025, NOT final). Use when planning interim analyses, sample-size re-estimation, or master/platform-trial designs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs adaptive clinical trials including group-sequential (O'Brien-Fleming, Pocock, Lan-DeMets spending), sample-size re-estimation (blinded Friede-Kieser, unblinded Cui-Hung-Wang, Mehta-Pocock promising zone), seamless Phase 2/3 with treatment-arm selection, population enrichment, and response-adaptive randomisation. Covers FDA 2019 Final Adaptive Designs Guidance, FDA 2022 Master Protocols, and ICH E20 Step 2b/3 draft (June 2025, NOT final). Use when planning interim analyses, sample-size re-estimation, or master/platform-trial designs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Hunt LDAP Injection and XPath Injection — authentication bypass, blind char-by-char attribute exfiltration, AD user/group enumeration, XML-store XPath bypass. Covers the LDAP special-character set (* ( ) NUL /), search-filter-context vs DN-injection, parenthesis-balancing, AND/OR filter logic, and {SSHA}/{CRYPT} userPassword exfil on non-AD directories. Use when target uses LDAP/AD authentication, corporate SSO with a directory backend, an address-book/people-search API, or XML-based data stores queried with XPath.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

글, 메모, 영상 등을 바탕으로 작성자의 말투를 유지하면서 X와 LinkedIn 게시물, 영상 대본, 뉴스레터를 각 매체에 맞게 작성합니다.

• 하나의 글을 여러 매체에 활용
• 제품 공개를 위한 게시물 준비
• 짧은 영상과 YouTube 대본 작성

제한된 GPU 메모리에서 대규모 언어 모델을 추가 학습하도록 LoRA와 QLoRA 설정을 돕습니다. 어댑터 저장, 용도별 전환, 기본 모델과의 병합도 다룹니다.

• 적은 GPU 메모리로 추가 학습
• LoRA 학습 설정 선택
• 용도별 어댑터 전환

Wi-Fi 측정 데이터로 RuView 모델을 훈련하고 평가합니다. 자세 추정, 환경 적응, GPU 훈련과 Hugging Face 모델 공개를 다룹니다.

• 카메라와 레이블 없이 자세 추정 학습하기
• 카메라와 Wi-Fi 대응 데이터로 학습하기
• 다른 방이나 환경에 모델 적응시키기

Generate RuVLLM settings for local language model inference and create MicroLoRA or SONA instances. Adjust their small internal weights using quality scores as feedback, with instances held in server memory for subsequent adaptation calls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configure local language model inference
• Prepare inference tools for an air-gapped environment
• Adjust MicroLoRA using quality feedback

Build web interfaces that adapt to screen and component widths. Use CSS Grid, flexible text and spacing, and container queries, which respond to a component’s available space, to adjust layouts, images, navigation, and tables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building layouts that start with mobile screens
• Adapting components to their available width
• Scaling text and spacing with screen size

Draft marketing content for blogs, social platforms, newsletters, landing pages, press releases, and case studies. Adapt the format and tone to the audience and brand, with headline or subject options and search visibility recommendations for web content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft a blog post with headline options and SEO suggestions
• Adapt a message for a specific social platform
• Write a newsletter with subject line options

Create, modify, test, or package Python provider adapters, the components used for framework connections. Work covers framework dependencies, public imports, type inference, and provider metadata within python/providers, with a referenced workflow to consult before changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create or modify a Python provider adapter
• Adjust framework-specific dependencies and public imports
• Work on type inference and provider metadata

Implement, update, test, or document TypeScript provider packages, the adapters connecting supported services and frameworks. This skill focuses on work under ts/packages/providers and directs the agent to read the provider workflow before making changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement a TypeScript provider
• Modify a service or framework adapter
• Test provider-specific changes

Find repeated engineering tasks and turn them into agent workflows with clear checks, stopping rules, and approval boundaries. Compare published workflows, adapt suitable examples, or review existing ones for weak verification and uncontrolled repetition.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find recurring tasks in code and conversation history
• Compare and adapt published agent workflows
• Review workflows for weak checks and missing stop rules

Audit Google Mobile Ads SDK integration in iOS, Android, or Unity projects. Check test IDs, ad units, SKAdNetwork IDs, adapter compatibility, and ad preloading, then report findings and next steps in a table.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit mobile ad integration before launch
• Check for remaining test IDs and invalid formats
• Review SKAdNetwork IDs and adapter compatibility

Connect json-render interfaces to XState Store for state management. The skill shows how to adapt an atom, a container holding application state, so json-render reads and writes through it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting json-render screens to XState Store
• Using an existing atom as the source of UI state
• Setting up a StateStore adapter and StateProvider

Adapt large language models to specific tasks using LoRA and QLoRA, methods that train a small set of added parameters. Get guidance on preparing examples, choosing training settings, evaluating outputs, and saving or merging trained adapters.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adapting models to specialized terminology and output formats
• Planning training with limited GPU memory
• Preparing instruction-response datasets

Guide changes to RDD reviewer integrations through a shared Go contract, a common set of processing rules. Define adapter boundaries, validate result handling, and check that runtime migrations preserve existing review outcomes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Moving reviewer invocation into a shared Go contract
• Checking that adapters only invoke reviewers and return raw output
• Verifying review outcomes during a runtime migration

Helps plan NetExec commands for penetration testing in Active Directory, the system used to manage Windows domain accounts. Covers authentication checks, shared resources, permissions, and information collection with examples organized by network protocol.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking NetExec authentication options
• Enumerating domain users and shared resources
• Collecting data for BloodHound

Adapt a C/C++ vulnerability pipeline to another language, target, or detection method. The workflow gathers requirements, proposes file changes for approval, updates the implementation, and validates it against a test target containing known bugs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adapt the pipeline for web application vulnerabilities
• Plan a port for smart contract auditing
• Change detection signals and report criteria

Research decentralized exchange activity using read-only data on token prices, holders, trades, news, and sentiment. Track large wallets, examine new token launches, and set up real-time monitoring through CLI commands or custom WebSocket scripts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check token prices, liquidity, and holder distribution
• Track large wallets and influential traders
• Review crypto news and market sentiment

Develop and troubleshoot plugins that connect external memory services to Nexent. Define plugin settings, implement search and ingestion, map errors, test with simulated network responses, and verify deployment, authentication, and runtime monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding an external memory service to Nexent
• Reviewing an existing memory adapter
• Testing plugins without live service connections