6,796 件 ・ 関連度順
概要と使いどころ
Route Alchemy work to viem, direct Data APIs, Wallet APIs v5, or Solana Web3.js without reviving the archived SDK. Use when designing shared clients and adapters. Trigger with "Alchemy SDK pattern", "replace alchemy-sdk", or "choose an Alchemy 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。
Execute this skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system. Use when appropriate context detected. 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。
Create narrow, version-pinned Adobe SDK and REST adapters with typed contracts, redaction, bounded polling, and compatibility evidence. Use when writing or upgrading integration code. Trigger with "Adobe SDK patterns", "wrap Adobe API", or "review Adobe 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。
Turns one-shot external recon into a continuous monitoring program. Covers the scheduled re-scan-and-diff loop (baseline snapshot -> interval sleep -> re-scan -> asset/finding delta -> threshold-gated webhook alert), the scan-to-scan diff engine (new/removed/changed assets by a tracked-attribute table, new/resolved findings by a stable cross-scan fingerprint), adversary CTI / chatter monitoring across six public feeds (ransomwatch, ransomware.live, HackerNews Algolia search, Reddit security-subreddit RSS, GitHub Gist code-search, public Telegram channel scraping) with a source-kind-aware severity engine (leak-site/forum/telegram/paste tiers, CRITICAL through INFO), literal/glob/regex watchlist pattern matching, full-corpus capture with retroactive rescan on new watchlist entries, infrastructure-tracking-over-time discipline (certificate-transparency, passive-DNS, port/service, and typosquat re-enumeration cadence, and what a genuine 'perimeter drift' event looks like in the diff output), a five-state finding-lifecycle state machine (open/triaged/risk_accepted/resolved/false_positive) with per-severity SLA and fingerprint-based cross-scan dedup and auto-resolve/reopen rules, the alert-fatigue trap where a lifecycle-unaware rule re-fires on an already-accepted finding, a durable retry/backoff alert-outbox pattern ('queued is not delivered'), and copy-paste bash-cron plus PowerShell-Scheduled-Task recipes for a re-scan+diff loop with the Slack-compatible webhook payload shape. Passive OSINT and analysis only -- no new active-intrusion technique. Use when setting up ongoing monitoring for a retainer or MSSP engagement, tuning alert thresholds to avoid fatigue, triaging a finding's lifecycle status, investigating adversary chatter about a brand, building a 'what changed on the perimeter since last week' report, or deciding whether a persisting finding should re-alert.
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。
Skillshare frontend design system for the React dashboard (ui/) and Docusaurus website (website/). Use this skill whenever you: build or modify a dashboard page or component in ui/src/, style or layout website pages or custom CSS in website/, create new React components for the dashboard, add pages to the dashboard, fix visual bugs in either frontend, or need to know which design tokens, ss-* classes, components, or patterns to use. Covers the two dashboard styles (Clean / Playful) in light and dark, design tokens, the ss-* class system, component API, page structure, accessibility, keyboard shortcuts, and anti-patterns. Even if the user just says "fix the styling" or "add a card", use this skill to ensure consistency.
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。
Authentication and authorization patterns including OAuth2, JWT, RBAC, session management, and PKCE flows
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。
Microservices design patterns including service mesh, event-driven architecture, saga pattern, and API gateway
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。
Redis patterns including caching strategies, pub/sub, streams for event processing, Lua scripts, and data structures
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。
AWS cloud patterns for Lambda, ECS, S3, DynamoDB, and Infrastructure as Code with CDK/Terraform
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。
Django architecture patterns including DRF, ORM optimization, signals, middleware, and project structure
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。
Spring Boot patterns including JPA repositories, REST controllers, layered services, and 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。
React 19 patterns including Server Components, Actions, Suspense, hooks, and component composition
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。
DeFi attack pattern playbook. Use when analyzing flash loan attacks, price oracle manipulation, MEV sandwich attacks, governance exploits, bridge vulnerabilities, and token standard edge cases in decentralized finance protocols.
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 production-ready systems with stability patterns: circuit breakers, bulkheads, timeouts, and retry logic. Use when the user mentions "production outage", "circuit breaker", "deployment pipeline", "chaos engineering", "retry storm", "health checks", "my service keeps crashing", "prevent cascading failures", or "make it resilient". Also trigger when designing resilient microservices, planning zero-downtime deployments, or capacity-planning for peak load. Covers stability patterns, capacity planning, deploy/release decoupling, and observability. For data systems, see ddia-systems. For system architecture, see 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。
Write readable, maintainable code through disciplined naming, small functions, and clean error handling. Use when the user mentions "clean up this code", "this function is too long", "code smells", "naming conventions", "boy scout rule", "single responsibility", or "unit test quality". Also trigger when reviewing a pull request for readability, untangling a messy function, debating comment styles, or improving error-handling patterns. Covers SRP, comment discipline, formatting, and unit testing. For refactoring techniques, see refactoring-patterns. For architecture and dependency rules, see clean-architecture.
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。
Spot patterns appearing in 3+ domains to find universal principles
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。
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project 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。
Record important information to long-term memory for learning user preferences, successful patterns, and error lessons. When you need to remember user preferences, save successful patterns, or record lessons from errors.
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。
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
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。
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
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。
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
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。
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
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。
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
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。
Generates complete programmed-cell-death (PCD) / regulated-cell-death (RCD) bulk-transcriptome oncology research designs from a user-provided disease and mechanism theme. Always use this skill whenever a user wants to design, plan, or structure a cancer bioinformatics study built around cell-death patterns, tumor microenvironment, prognostic modeling, immune landscape analysis, mutation profiling, and computational drug sensitivity. Covers five study patterns (mechanism-gene-set, subtype-discovery, prognostic-signature, immune-response stratification, translational drug-hypothesis) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, and a strictly verified reference literature retrieval layer with real references only.
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。