'using' 검색 결과

Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting. USE THIS SKILL WHEN: - You are reviewing housing management software or tenant management systems - Someone asks about Section 8, LIHTC, or public housing program compliance - You need to audit unit allocation algorithms for fairness or bias - A project involves waitlist management, income verification, or rent calculations - You are evaluating HUD compliance (50058, EIV, PIC submissions) - Someone mentions Fair Housing, reasonable accommodation, or protected class handling - You need to review HQS/NSPIRE inspection tracking or abatement workflows - A codebase handles tenant eligibility, subsidy calculations, or housing vouchers TRIGGER PHRASES: "affordable housing", "Section 8", "LIHTC", "public housing", "waitlist management", "income verification", "Fair Housing", "HUD compliance", "rent calculation", "housing voucher", "tenant management", "HQS inspection", "unit allocation", "housing authority"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Screen Chinese A-shares, Hong Kong stocks, and US stocks using valuation ratios, profitability, and financial statement data. Set criteria to identify value or growth candidates, with market-specific guidance on using the results in historical strategy tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find value stocks using valuation and profitability criteria
• Filter Chinese A-shares using published financial statements
• Build a US or Hong Kong stock universe for strategy testing

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

Deploy and manage Vercel projects using access tokens instead of interactive login. Covers selecting the right project and team, preview deployments, environment variables, domains, and checking deployment status and logs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploy a preview using an access token
• Add or retrieve environment variables
• Check deployment status and build logs

Implements Riverpod (v3.3.x) compile-safe state management for Flutter apps. Use when implementing @riverpod code generation providers, handling AsyncValue loading/error/data states, using ref.watch/ref.read/ref.listen, setting up ProviderScope, writing Notifier/AsyncNotifier classes, using FutureProvider/StreamProvider, applying autoDispose and family modifiers, combining providers, testing providers in isolation, scoping rebuilds with Consumer instead of ConsumerWidget, using ref.watch with select() for field-level precision, migrating from StateNotifierProvider or Riverpod 2.x patterns, handling Notifier resource lifecycle with ref.onDispose, or using experimental Mutation and offline persistence APIs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Legacy compatibility entry for prompts or documentation that explicitly name `using-superpowers`. Route new skill-discovery workflows to `using-skills`; do not activate both entrypoints for the same task.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rust 製ローカルファースト vector 特化クエリ DB fandhe-db (PostgreSQL wire protocol v3 互換) の fandhe-db-engine / fandhe-db-wire-server リファレンス。 USING PLAN / USING OPERATION_ID 構文、DDL / JOIN / CTE / window 関数、 拡張クエリ・COPY・トランザクション、TLS 1.3 / SCRAM-SHA-256、 NoSQL HTTP 表層、precision・recall モード、HNSW / BM25 / RRF hybrid / rerank、 redb 永続化、tenant・RLS、SIMD / wgpu、wire_code エラー契約。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

PDF 분석, 텍스트 추출, 이미지 분석 결과를 파일 내용에 따라 저장하고 재사용하도록 설계합니다. 파일을 옮기거나 이름을 바꿔도 재사용하며 내용이 바뀌면 다시 처리합니다.

• PDF 텍스트 추출 결과를 재사용합니다
• 이동한 파일의 처리 결과를 재사용합니다
• 기존 처리 함수에 캐시를 추가합니다

TRL로 언어 모델을 추가 학습해 지시와 사람의 선호에 맞는 답변을 만들도록 안내합니다. 데이터 준비, 학습 방식 선택, 보상 모델 학습과 평가를 다룹니다.

• 답변 예시로 지시 수행을 학습합니다
• DPO로 답변 선호를 학습합니다
• 보상 모델을 쓰는 RLHF를 구성합니다

Create original generative art with p5.js, using particles, mathematical rules, and controlled randomness. Explore variations through interactive controls, reproduce results with a seed value, and save the artwork as a PNG.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating original art with code
• Exploring particle motion and flow fields
• Comparing variations by changing seeds and parameters

Create or update Figma screens from code or written descriptions. Use design system components and design tokens, shared values for visual styling, to translate application pages into Figma designs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning application code into Figma screens
• Creating screens from written descriptions
• Updating screens with design system components

Create or update GitHub pull requests using the project's required template. Organize changes and test results, preserve every template section, and check target branches and release notes against the documented workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a pull request using the required template
• Organize changes and test results for a draft pull request
• Check hotfix and backport requirements

Send crypto payments through Binance Pay using QR codes or payment links, then check payment status. Generate links and QR codes to receive payments, with support for C2C payments and automatic detection of PIX QR codes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Pay using a Binance Pay QR code
• Pay using a PIX QR code
• Generate a link to receive crypto

Work with PDF files using PDFtk Server commands to merge documents, extract or rotate pages, fill forms, add watermarks, and manage password protection. Includes practical command examples and guidance for troubleshooting common problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Merge multiple PDFs into one document
• Extract selected pages or remove unwanted pages
• Fill PDF forms from FDF data

Write JavaScript and TypeScript tests with Jest using consistent structure, dependency mocking, and checks for asynchronous code. Includes guidance for snapshots and React components, focusing on user interactions, accessibility, and choosing appropriate assertions for expected results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize Jest test files and test names
• Replace API or database dependencies with mocks
• Test asynchronous results and errors

Turn a specification file into a GitHub feature request issue. The skill extracts requirements, checks existing issues, and creates or updates one issue covering the specification, using a template to organize the problem, solution, and context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a specification into a feature request issue
• Check existing issues before registering a request
• Update an existing issue with specification requirements

Build a recurring vulnerability scanning process with Nessus, Qualys, or OpenVAS. Prioritize findings using asset importance and known exploitation, then organize remediation deadlines, monitoring dashboards, and automatic tickets for urgent issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Establish recurring infrastructure vulnerability scans
• Prioritize fixes using asset importance and exploitation data
• Track remediation deadlines and overdue findings

Create threat detection rules in Sigma, a shared format for security log searches, and convert them for Splunk, Elastic, or Microsoft Sentinel. Validate syntax, test expected matches and false positives, and map coverage to MITRE ATT&CK.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning threat reports into detection rules
• Reusing detection logic across SIEM platforms
• Testing rule matches and reducing false positives

Assess exposure of Windows secrets protected by DPAPI, the operating system’s data protection service, during authorized security tests. Guide examination and decryption of saved credentials and browser data using available user sessions, credentials, or backup keys.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing saved credential exposure in authorized tests
• Examining collected DPAPI files offline
• Reviewing protected browser and RDP credentials

Guide language model training with TRL, from learning to follow instructions to matching human preferences. Covers method selection, training data, reward models that score responses, evaluation, and adjustments for memory limits or unstable training.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train a model on instruction and response examples
• Align responses using preferred and rejected answer pairs
• Build a training pipeline using human feedback

Configure Claude Code and improve how you assign coding tasks. This guide provides a CLAUDE.md template, practical prompting examples, debugging approaches using logs, and a workflow for making and checking small changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up project guidelines in CLAUDE.md
• Write clearer requests for coding tasks
• Investigate unexpected agent behavior using logs

Build targeted company and contact lists with Common Room's Prospector. Refine criteria through conversation, distinguish new companies from existing accounts, and prioritize existing accounts using available activity signals and scores.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a new target company list by industry, size, and location
• Prioritize existing accounts using activity signals
• Find companies with attributes similar to a reference company

Draft personalized sales emails, call scripts, and LinkedIn messages using Common Room activity data and recent public news. Each draft connects a specific prospect signal to the outreach, with notes explaining the chosen angle and any assumptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting outreach based on a prospect’s recent activity
• Preparing email, phone, and LinkedIn outreach together
• Finding the right contact at a target company

Plan large sets of search-focused pages using templates and data, such as location, comparison, and integration pages. Define unique content, URL patterns, internal links, launch checks, and monitoring metrics for a structured publishing plan.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning service pages for multiple locations
• Designing product comparison or integration page templates
• Expanding a directory using available data