'red' 검색 결과

Prepare raw credit data for pre-loan modeling by checking data quality and screening variables. Review missing values, predictive usefulness, stability, noise, and correlation, then export an Excel report with organization-level statistics and cleaning results.

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• Prepare credit data before building a model
• Compare missing values and bad-sample rates across organizations
• Screen variables for usefulness, stability, and redundancy

Monitor requests to an AI prediction API for signs of model copying or training-data exposure. Test an authorized model with simulated attacks, measure the risk, and evaluate defenses such as request limits and reduced prediction detail.

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• Monitoring a public or partner prediction API
• Measuring model copying risk before deployment
• Testing request limits and reduced prediction detail

Investigate compromised credentials across AWS, Azure, and GCP by correlating security alerts and audit logs. Examines unusual API activity and suspicious sign-ins, helps assess the affected scope, and guides containment actions such as disabling keys and revoking sessions.

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• Investigate cloud API activity from unfamiliar locations
• Assess exposure after a credential leak notification
• Correlate suspicious sign-ins across cloud providers

Design and create custom cloud controls and frameworks for Google Cloud data boundary requirements that existing resources cannot meet. Receive prepared configuration fields for manual setup, or approve creation through the agent.

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• Designing controls for requirements existing frameworks cannot meet
• Preparing configuration fields for the Google Cloud console
• Creating a framework that groups newly authored controls

Find user-configured API keys and tokens by listing their names and descriptions, then retrieve a chosen value for scripts. Helps use credentials in API calls or authentication without embedding them directly in code.

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• Check which credentials are configured for the current assistant
• Retrieve a configured API key for a script
• Get a token for git authentication

Organize red team exercises that simulate adversaries to assess an organization's detection and response. Covers engagement rules, infrastructure, operational controls, evidence handling, and reports that help security teams review gaps and prioritize improvements.

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• Defining red team objectives and engagement rules
• Designing an exercise that assumes an existing breach
• Organizing evidence and activity logs

Create and manage prediction markets on Solana, where participants trade YES or NO outcome tokens. Support includes direct peer bets, social media metrics, custom result authorities, market settlement, and redemption of winning positions.

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• Create a prediction market around social media metrics
• Build direct peer-to-peer betting markets
• Let an AI agent determine market outcomes

Retrieve shared reference files and send work in progress using local shared paths. The skill also guides missing-file checks and distinguishes manual file transfers from synchronization already handled by task acceptance and submission.

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• Retrieve shared project reference materials
• Send progress files before task submission
• Investigate missing shared task files

Review git and gh operations in gh-aw workflows to check credential availability for each repository. Identify missing token handoffs, risky expansions of limited checkouts, and error handling needed where credentials are intentionally unavailable.

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• Reviewing git operations after repository checkout
• Checking tokens for private cross-repository access
• Reviewing sparse and shallow checkout changes

Assess what discovered cloud credentials allow across AWS, Azure, GCP, and Kubernetes. The skill guides identity checks, permission review, and paths to higher privileges, then helps document impact, activity, and cleanup within the engagement's agreed scope.

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• Assess permissions granted by discovered cloud credentials
• Review role trust and access across cloud accounts
• Check permissions assigned to anonymous Cognito identities

Interpret statistical models in R and Python using predictions, comparisons, and marginal effects, which describe how outcomes change with predictors. Get guidance on choosing quantities, evaluating scenarios, summarizing groups, measuring uncertainty, and testing hypotheses.

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• Calculate predicted probabilities for chosen conditions
• Estimate how outcomes change with a predictor
• Compare treatment effects across groups

Build a credit history from zero in a new country — understand that credit doesn't transfer across borders, get the first products that report, avoid the newcomer traps, and reach a usable score in months not years. Use when someone says 'I have no credit history in [country]', 'build credit as a newcomer/immigrant', 'why was I rejected with a great score back home', or 'how do I get a credit card/loan as a new arrival'. Produces a credit-building plan, the starter products that report, a timeline, and the traps to avoid. Educational, not financial advice; routes to official credit sources.

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When the user wants to set up, optimize, or manage Reddit Ads. Also use when the user mentions "Reddit Ads," "Promoted Posts," "subreddit targeting," "Reddit advertising," or "Reddit communities." For organic Reddit, use reddit-posts.

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Work with the Upstash Redis JavaScript/TypeScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating with @upstash/redis search extension), and all Redis data structures. Supports automatic serialization/deserialization of JavaScript types. Search also available via @upstash/search-redis and @upstash/search-ioredis adapters for TCP clients.

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Use this skill only for Volcengine Redis cloud resource operations, including querying, inspecting, creating, or managing Volcengine Redis instances and related cloud resources. Trigger it when the user mentions Volcengine Redis, Volcengine Redis instances, Volcengine Redis inventory/detail lookup, Volcengine Redis operational metadata, or Volcengine Redis MCP/OpenAPI access.

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Boltz-1 / Boltz-2 structure prediction for proteins, complexes, and ligand-aware validation. Use this skill when: (1) Predicting protein complex structures, (2) Validating designed binders, (3) Need open-source alternative to AF2, (4) Predicting protein-ligand complexes, (5) Using local GPU resources. For QC thresholds, use protein-design-qc. For AlphaFold2 prediction, use alphafold2-multimer. For Chai prediction, use chai1-structure-prediction.

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Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread. Dynamically extracts product knowledge, approved terminology, voice and tone, and positioning guidelines from the domain before writing. Use this skill whenever the user provides a domain and a Reddit thread and asks to write, draft, review, or refactor a Reddit comment or engagement reply. Trigger on inputs like "Domain: [url] Thread: [url or paste]", "write a Reddit comment for this domain", "draft an engagement for this thread", or any variation where a company URL and a Reddit thread are both provided. Always use this skill — never write Reddit comments for a domain without following this full workflow.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

🇺🇸 AI Product / SaaS Go-Global Complete SOP — From competitor research to launch to monetization. A full-cycle playbook covering Phase 0-5 (market validation, positioning, first 100 users, user interviews, beta-to-growth) plus open-source launch, Product Hunt, Reddit, SEO/GEO, conversion, and org principles. **Defaults to dev tools / OSS / B2B SaaS; for 2C products (education, apps, games) the launch channels & metrics differ — see gingiris-seo-geo/references/2c-adaptation.md.** 🇨🇳 AI 产品 / SaaS 企业出海完整 SOP — 从竞品调研到 Launch 到商业化的全流程操作手册。覆盖 Phase 0-5（市场验证、定位、前100用户、用户访谈、Beta转增长）+ 开源发布、Product Hunt、Reddit、SEO/GEO、转化与组织原则。**默认面向开发者工具/开源/B2B SaaS；2C 产品（教育/应用/游戏）的启动渠道与指标不同，见 gingiris-seo-geo/references/2c-adaptation.md。** 🇯🇵 AI製品/SaaS海外展開フルサイクルSOP — 競合調査からローンチ、マネタイズまで。Phase 0-5（市場検証、ポジショニング、最初の100ユーザー、ユーザーインタビュー、ベータから成長）＋オープンソース、Product Hunt、Reddit、SEO/GEO、コンバージョン、組織原則。 🇰🇷 AI 제품/SaaS 글로벌 진출 완전 SOP — 경쟁사 조사부터 런칭, 수익화까지 전 주기 플레이북. Phase 0-5(시장 검증, 포지셔닝, 첫 100명 사용자, 사용자 인터뷰, 베타→성장) + 오픈소스 런칭, Product Hunt, Reddit, SEO/GEO, 전환, 조직 원칙. Triggers: "go global" | "出海" | "overseas expansion" | "GTM" | "cold start" | "launch strategy" | "international expansion" | "海外增长" | "出海SOP" | "product launch overseas" | "海外进出" | "グローバル展開" | "글로벌 진출" | "go-to-market" | "出海打法"

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Build and operate a complete, brand-neutral Reddit intelligence system with approved read-only monitoring, grouped keyword rules, evidence-backed AI scoring, a persistent opportunity bank, dashboard review, urgent-alert and weekly-digest previews, content briefs, and human-only response drafts. Use for "reddit intelligence", "reddit monitor", "reddit listener", "watch subreddits", "find reddit opportunities", "content ideas from reddit", "community listening", or setting up this workflow for a client or brand.

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Reddit account cultivation for indie developers. Uses AppleScript to control real Chrome — undetectable by anti-bot systems. Checks karma, finds rising posts, drafts comments, and posts directly. Triggers on "/reddit-cultivate", "check my reddit", "reddit maintenance", "find reddit opportunities", "build reddit karma".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

深挖一组 subreddit 的"社区研究"技能。给一个品牌或项目,先摸清相关(自家品牌+竞品)的 subreddit:爬规则原文、爬高赞帖逐帖学、找共性、产出"能不能提品牌/能不能发链接/要不要披露"的逐社区政策矩阵。用于任何新品牌/新项目上 Reddit 前的社区尽调。触发词:"研究 subreddit""摸清社区规则""Reddit 社区尽调""subreddit deep research""某品牌相关的 sub"。

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Use when a task needs the judgment of a credit authorizer, checker, or clerk — deciding a real-time point-of-sale credit authorization against available credit, verifying a credit application's income/employment documentation, issuing an adverse-action notice on a declined application, or intaking a chargeback/dispute within its filing window. Distinct from a credit analyst, who underwrites commercial credit with a multi-year financial spread and a risk rating — this role runs a high-volume rules engine against a preset limit, it does not assess creditworthiness from first principles.

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Use this skill when configuring or troubleshooting NPSP soft credits, partial soft credits, or matching gift workflows — including OpportunityContactRole-based credit attribution, npsp__Partial_Soft_Credit__c records, and the Find Matched Gifts process. NOT for gift entry templates or batch gift entry — use admin/gift-entry-and-processing. NOT for importing historical gifts and credits — use data/gift-history-import.

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Map the most influential Reddit venues for a brand's AI visibility using Xpoz. Finds which subreddits and threads AI engines actually cite when answering buyer questions, where those questions get asked, and which live threads are worth answering. Use when asked to "get cited by AI through Reddit", "which subreddits matter for my brand", "Reddit influence map", "where should we engage on Reddit", or "why does ChatGPT cite Reddit for my category".

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