1.8만건 · 관련도순
Evaluates credit fund returns with yield attribution, mark-to-market dynamics, and performance comparison across credit strategies. Use when analyzing credit fund performance, decomposing returns, or benchmarking credit strategies.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Turn a KOL roster + subreddit brand-fit analysis into a deployable creator network. Splits creators into KOL (authority) and KOC (grassroots) layers, matches each to a main + secondary subreddits by real gear/shooting-type ∩ community fit, and emits an account×subreddit deployment_matrix (with a ≤3-per-sub ceiling + no-cross-interaction rule) plus per-creator persona_cards. Route A disclosed-compliance baked into every card (FTC disclosure required on any material connection). Consumes reddit-kol-finder's kol_roster.json natively. READ-ONLY, deterministic, no LLM key needed.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Redact rendered visual artifacts — Mermaid diagrams, SVGs, and HTML dashboards — before public disclosure, using an ordered longest-first mapping table (specific label, then namespace label, then catch-all placeholder) that swaps sensitive identifiers for descriptive stand-ins while preserving structure, node ids, and teaching value. Covers whole-word identifier replacement, node-label-vs-node-id discrimination, re-rendering the derived image from the redacted source, and verifying the result through the redaction gate. Use when a diagram or dashboard built from internal findings must ship to a public mirror without leaking the names behind it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provision a zero-config, no-signup, temporary Upstash Redis database for an AI agent with a single POST to https://upstash.com/start-redis, with no account, API key, or SDK setup required. Use when an agent needs scratch Redis right now and the user has not provided credentials, for short-term memory across tool calls, conversation history, a sub-agent work queue, ranked recall, or a quick prototype or demo. Covers idempotent creation and re-fetching credentials, calling the database through the body-style REST API or the official SDKs, and telling the user how to claim it. The database lives 3 days unless the user claims it; not for production data, PII, or secrets.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
"Build credit scoring models to predict default probability from borrower characteristics. Use this skill when the user needs to assess creditworthiness, build a credit scorecard, or evaluate lending risk — even if they say 'predict default risk', 'credit scoring', or 'loan approval model'.".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when deploying a trained Einstein Discovery model to production records declaratively — activating a prediction definition, mapping output fields to page layouts, adding the Einstein Discovery Action to a Flow, running bulk predict jobs, and monitoring model health via Model Manager UI. Trigger keywords: prediction definition activation, bulk predict job, Einstein Discovery Flow action, Model Manager, prediction field mapping, model refresh activation, scoring job, Einstein Discovery recommendations on record. NOT for authoring the story in CRM Analytics Studio — use admin/einstein-discovery-setup. NOT for programmatic scoring through the API — use agentforce/einstein-discovery-development.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reddit content discovery skill. Browse subreddits, search posts, view post details, check user profiles. Triggered when user asks to search Reddit, browse subreddits, view posts, or check users.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search and analyze Reddit discussions for market research, product feedback, and community insights using Xpoz. Use when asked to "search Reddit", "what does Reddit think about X", "Reddit feedback on X", "subreddit analysis", or "Reddit market research".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search and analyze Reddit discussions for market research, product feedback, and community insights using Xpoz. Use when asked to "search Reddit", "what does Reddit think about X", "Reddit feedback on X", "subreddit analysis", or "Reddit market research".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive secrets extraction methodology targeting CI/CD environments across all major platforms. Covers environment variable extraction from build contexts, exploitation of vault and secrets-manager misconfigurations (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager), runner and agent token abuse for lateral movement, OIDC federation attacks exploiting trust relationships between CI/CD providers and cloud platforms, build log leakage analysis for inadvertently exposed credentials, cache poisoning techniques for credential exfiltration, platform-specific credential store exploitation (GitHub Actions secrets, GitLab CI variables, Jenkins credential providers), service connection and service account abuse in Azure DevOps and GCP, and Docker registry credential theft from build environments. Maps to MITRE ATT&CK T1552 (Unsecured Credentials) and its sub-techniques. Each section provides enumeration procedures, extraction techniques, and post-exploitation pivoting guidance for usi...
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
참고 영상에서 측정한 색상과 컷 리듬에 맞춰 생성 영상과 기존 소재를 편집·합성합니다. 수치로 확인한 완성 영상과 재편집용 타임라인을 만듭니다.
예측 시장과 거래 에이전트의 흐름을 약관, 데이터 품질, 비밀 정보, 개인정보, 거래 실행 관점에서 점검하고 문제점과 필요한 대책을 정리합니다.
예측 시장 가격이 나타내는 확률을 출처와 시각과 함께 조사합니다. 거래량, 결과 판정 규칙, 다른 정보와의 비교를 통해 제품이나 업무 판단에 적합한지 평가합니다.
Itô 바스켓과 예측 시장 데이터를 살펴보고 정리합니다. 선택한 조사 메모와 비교하고, 출처가 있는 시장 개요와 사람이 검토할 계획표를 작성합니다.
기준 브랜치부터 CI 실패를 조사하고 수정합니다. 영향을 받는 PR을 하나씩 검증하고 대상 커밋의 근거와 미해결 사항을 기록해 담당자에게 인계할 준비를 합니다.
Audit internal links after URL migrations, domain changes, or site rebuilds. Trace redirects, record source pages and final destinations, and guide link updates so visitors and search crawlers reach the destination without extra redirect requests.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create and audit JSON-LD, structured data that describes page content to search engines. Check JSON syntax, schema types, and required fields for articles, products, FAQs, and breadcrumbs, then guide validation for enhanced search results.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Check HTML for meta refresh redirects that can interrupt reading and confuse users. Suggest server-side redirects or clear links users choose themselves, with guidance for checking the resulting behavior using accessibility tools or assistive technology.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Check that HTTP requests redirect to HTTPS with a permanent 301 response while preserving the page path and query parameters. Review server or CDN settings, verify response headers, and explain how HSTS helps returning visitors avoid HTTP requests.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review and fix breadcrumb HTML so readers, including people using screen readers, can understand site hierarchy and their current location. Check navigation labels, ordered lists, current-page attributes, and consistency with structured data.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Check canonical tags that tell search engines the preferred URL for a page. Review rendered HTML and HTTP responses, identify missing or incorrect settings, and help correct duplicate-page signals caused by URL variations.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Audit breadcrumb structured data, a machine-readable description of a page’s navigation path. Check that BreadcrumbList matches the visible trail and site hierarchy, then guide JSON-LD changes using the rendered HTML and HTTP response.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review the HTML delivered to browsers for a correct UTF-8 character encoding declaration. Find missing or misplaced charset tags in templates and rendered pages, then position the declaration early to help prevent garbled multilingual text.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Apply shared visual and writing rules to course pages, figures, and manuals. Check colors, fonts, labels, layouts, plain technical English, dark themes, keyboard focus, touch targets, and reduced-motion behavior against defined reference values.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.