「red」の検索結果

An annotated / redline lo-fi wireframe — a desktop landing/marketing page drawn as flat greyboxes inside a browser chrome frame, overlaid with numbered annotation pins (①②③④⑤) in a single accent color, paired with a right-hand SPEC PANEL that lists each numbered pin with a short engineering / UX note. This is the "wireframe + redline spec" style — clean, flat, low-fidelity, NOT hand-drawn. Use when the brief asks for "annotated wireframe", "redline wireframe", "wireframe with spec", "lo-fi landing wireframe", "low fidelity", "线框图", "标注线框", or "redline".

日本語の概要は準備中です。原文の説明を表示しています。

Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket's dpapi.py, including domain-wide decryption via the DPAPI backup key. Use during authorized red-team credential-access engagements after gaining a foothold or when triaging DPAPI blobs pulled from a host.

日本語の概要は準備中です。原文の説明を表示しています。

Reddit Ads campaign analysis detecting community targeting issues, creative fatigue, bid inefficiencies, and subreddit performance problems. Use when pasting Reddit Ads data, analyzing subreddit targeting, or auditing Reddit advertising spend for B2B or B2C campaigns. Platform: Reddit.

日本語の概要は準備中です。原文の説明を表示しています。

Domain routing and boundary guidance for authorized open redirect testing, including parameter redirects, meta or JavaScript redirects, and OAuth redirect_uri abuse. Use when a task belongs to the open redirect domain and needs scope, evidence, pivot, or exit criteria.

日本語の概要は準備中です。原文の説明を表示しています。

Write a credit memo for a lending decision: borrower story, facility structure, repayment sources, financial-ratio spread with covenant headroom, risk factors with mitigants, risk-rating rationale, and a recommendation. Use when asked to write a credit memo, credit application, credit paper, loan write-up, or prepare a deal for credit committee. Produces a complete credit memo ready for committee review.

日本語の概要は準備中です。原文の説明を表示しています。

Structure prediction using Boltz-1/Boltz-2, an open biomolecular structure predictor. 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-qc. For AlphaFold2 prediction, use alphafold. For Chai prediction, use chai.

日本語の概要は準備中です。原文の説明を表示しています。

Chai-1 structure prediction for protein complexes and design validation. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2. For QC thresholds, use protein-design-qc. For AlphaFold2 prediction, use alphafold2-multimer. For ESM-based analysis, use esm2-sequence-scoring.

日本語の概要は準備中です。原文の説明を表示しています。

Query Codex banked reset credits from the local Codex Desktop login state and report available reset count plus expiration times. Use when the user asks to check Codex reset credits, reset opportunities, reset chances, reset count, rate-limit reset credits, or expiration times; also use when the user provides a codex-reset-credits-skill or codex-reset-credits runbook link and asks Codex to query the result directly.

日本語の概要は準備中です。原文の説明を表示しています。

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.

日本語の概要は準備中です。原文の説明を表示しています。

Monitors structured product performance with collateral deterioration triggers, coverage test tracking, and credit migration analysis. Use when conducting ABS surveillance, monitoring CLO performance, or tracking structured product credit.

日本語の概要は準備中です。原文の説明を表示しています。

Deconstructs structured note payoffs with embedded option identification, issuer credit risk, and all-in cost analysis. Use when analyzing structured notes, evaluating embedded options, or assessing structured product costs.

日本語の概要は準備中です。原文の説明を表示しています。

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.

日本語の概要は準備中です。原文の説明を表示しています。

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.

日本語の概要は準備中です。原文の説明を表示しています。

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.

日本語の概要は準備中です。原文の説明を表示しています。

"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'.".

日本語の概要は準備中です。原文の説明を表示しています。

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.

日本語の概要は準備中です。原文の説明を表示しています。

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".

日本語の概要は準備中です。原文の説明を表示しています。

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.

日本語の概要は準備中です。原文の説明を表示しています。

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".

日本語の概要は準備中です。原文の説明を表示しています。

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...

日本語の概要は準備中です。原文の説明を表示しています。

参考映像から測定した色やカットのリズムを使い、生成動画と既存映像を編集・合成して、数値で照合した完成動画と再編集用のタイムラインを作るスキル。

• 参考映像のスタイルで動画を作りたいとき
• 既存映像に生成クリップを追加したいとき
• 映像素材や3D小物の合成

予測市場や取引エージェントの処理を、規約・データ品質・秘密情報・プライバシー・取引実行の観点で点検し、問題点と必要な対策を整理するスキル。

• 取引サービスの認証を加える前の確認
• 資産情報とAPIキーの扱いの点検
• 市場データの品質と出典表示の確認

予測市場の価格が示す確率を出典と時刻付きで調べ、取引量や結果の判定ルール、他の情報源との比較から、製品や業務の判断材料として使えるか評価するスキル。

• 製品で予測市場データを使いたいとき
• 市場の確率と社内指標の比較
• エージェントの記憶や通知への利用検討

Itôのバスケットや予測市場のデータを閲覧・整理し、手元の調査メモとの比較、出典付きの市場概要、人が確認するための計画シートを作成します。

• Itôのバスケット一覧を調べたいとき
• 調査メモやウォッチリストとの比較
• 出典付きの予測市場概要の作成