「application」の検索結果

Provides authoritative guidance on Amazon Neptune Database and Neptune Analytics for graph, knowledge-graph, and relationship-heavy workloads — fraud detection / fraud rings, agentic memory / chatbot context across sessions, recommendations, identity resolution, Gremlin / openCypher / SPARQL queries, supernode / slow traversal, Neo4j to Neptune migration / APOC compatibility, Neptune Database vs Analytics engine selection, PageRank / community detection, GraphRAG, and connectivity from Lambda / EC2 / applications. Creates and modifies Neptune Database clusters/instances and Neptune Analytics graphs on explicit user confirmation; blocks destructive operations (delete, reset-graph, failover, major upgrade) and redirects to change-control.

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。

Production-grade architecture patterns for Apify-powered applications. Use when designing scraping infrastructure, building multi-Actor pipelines, or integrating Apify into a larger system architecture. Trigger with "apify architecture", "apify best practices", "apify project structure", "scraping architecture", "apify system design".

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。

Implement Claude API reference architectures for common use cases. Use when designing a Claude-powered application, choosing between direct API vs queue-based, or planning a multi-model architecture. Trigger with phrases like "anthropic architecture", "claude system design", "anthropic reference architecture", "design claude integration".

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。

Deploy Apify Actors and integrate scraping into external applications. Use when deploying an Actor to the platform, integrating Actor results into a web app (Next.js, Express), wiring webhooks, or scheduling scraping pipelines. Trigger with "deploy apify actor", "apify Vercel integration", "apify production deploy", "integrate apify results", "apify API endpoint".

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。

Analyze application logs for performance insights and issue detection including slow requests, error patterns, and resource usage. Use when troubleshooting performance issues or debugging errors. Trigger with phrases like "analyze logs", "find slow requests", or "detect error patterns".

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。

Analyze HTTP security headers of web domains to identify vulnerabilities and misconfigurations. Use when you need to audit website security headers, assess header compliance, or get security recommendations for web applications. Trigger with phrases like "analyze security headers", "check HTTP headers", "audit website security headers", or "evaluate CSP and HSTS configuration".

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。

Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data".

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。

Create or review a typed application adapter around the Algolia JavaScript v5 client. Use when client calls, index names, errors, task waits, and credential usage are scattered. Trigger with "Algolia SDK patterns", "Algolia client wrapper", or "refactor search client".

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。

Map workforce roles and application actors to Algolia team permissions, API-key ACLs, and secured-key restrictions. Use when reviewing least privilege, tenancy, SSO requirements, or access rotation. Trigger with "Algolia RBAC", "Algolia SSO", or "Algolia tenant access".

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。

Plan and verify deployment of an Algolia-backed application with separated browser and server credentials. Use when releasing search code, index configuration, or event instrumentation. Trigger with "deploy Algolia", "Algolia production rollout", or "search release checklist".

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。

Analyze and secure Alchemy credentials, browser access, wallet authority, webhook verification, and untrusted chain data. Use when securing an Alchemy-backed application. Trigger with "secure Alchemy", "Alchemy API key exposure", or "verify an Alchemy webhook".

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。

Deploy an Adobe-backed service or App Builder application with isolated environments, immutable artifacts, canaries, observability, and rollback. Use when the task requires adobe integration deployment. Trigger with "deploy Adobe integration", "aio app deploy", or "promote Adobe app".

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。

Execute software engineer specializing in creating production-ready ADK agents with best practices, code structure, testing, and deployment automation. Use when asked to "build ADK agent", "create agent code", or "engineer ADK application". Trigger with relevant phrases based on skill purpose.

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。

Analyze job postings, calculate match scores, identify gaps, and create application strategy

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。

Application security covering input validation, auth, headers, secrets management, and dependency auditing

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。

Web cache deception and poisoning playbook. Use when CDN, reverse proxy, or application caching may serve sensitive authenticated content to other users due to path confusion or cache key manipulation.

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。

Mobile SSL pinning bypass playbook. Use when intercepting HTTPS traffic from mobile applications that implement certificate pinning, public key pinning, or SPKI hash pinning on Android and iOS, including React Native, Flutter, and Xamarin frameworks.

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。

JNDI injection playbook. Use when Java applications perform JNDI lookups with attacker-controlled names, especially via Log4j2, Spring, or any code path reaching InitialContext.lookup().

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。

WAF bypass methodology and generic evasion techniques. Use when a web application firewall blocks injection payloads (SQLi, XSS, RCE) and you need to craft bypasses using encoding, protocol-level tricks, or WAF-specific weaknesses.

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。

Entry P1 category router for reconnaissance and methodology. Use when mapping scope, drawing an attack surface from one application, discovering assets, fingerprinting technology, building endpoint inventory, and choosing the first high-value security testing path.

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。

LLM prompt injection playbook. Use when testing AI/LLM applications for direct injection, indirect injection via RAG/browsing, tool abuse, data exfiltration, MCP security risks, and defense bypass techniques.

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。

Insecure deserialization playbook. Use when Java, PHP, or Python applications deserialize untrusted data via ObjectInputStream, unserialize, pickle, or similar mechanisms that may lead to RCE, file access, or privilege escalation.

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。

Android pentesting playbook. Use when testing Android applications for SSL pinning bypass, exported component abuse, WebView vulnerabilities, intent redirection, root detection bypass, tapjacking, and backup extraction during authorized mobile security assessments.

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。

HTTP Parameter Pollution (HPP): duplicate query/body keys parsed differently by servers, proxies, WAFs, and app frameworks. Use when filters and application layers disagree on which value wins, enabling bypass, SSRF second URL, logic abuse, or CSRF token confusion.

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。