Optimize AppFolio API performance with caching and batch operations. Trigger: "appfolio performance".
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。
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概要と使いどころ
Optimize AppFolio API performance with caching and batch operations. Trigger: "appfolio performance".
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。
Apply production-ready patterns for the Anima SDK design-to-code pipeline. Use when building reusable Anima client wrappers, implementing output caching, or establishing team standards for design-to-code automation. Trigger with: "anima SDK patterns", "anima best practices", "anima code 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。
Optimize Anthropic Claude API costs with model routing, prompt caching, batching, and spend monitoring. Use when analyzing Claude API billing, reducing costs, or implementing cost controls and budget alerts. Trigger with phrases like "anthropic cost", "claude billing", "reduce claude spend", "anthropic budget", "claude pricing optimize".
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。
Optimize Anima API costs through caching, incremental generation, and tier selection. Use when managing Anima API usage, reducing unnecessary code generations, or right-sizing your Anima plan for team size. Trigger with: "anima cost", "anima pricing", "anima budget", "anima API usage".
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。
Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector); debugging and troubleshooting errors or unexpected behavior on Supabase projects (HTTP errors, Postgres errors, RLS surprises, permission denied, schema cache issues, timeouts, Edge Function crashes, Realtime drops, Storage failures) and reading or querying logs (Logs Explorer, ClickHouse).
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 performance optimization including bundle analysis, lazy loading, caching strategies, and Core Web Vitals
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。
Persistent memory system for Claude Code. Two-layer architecture (hot cache + knowledge wiki), safety hooks, /close-day end-of-day synthesis. Zero external dependencies.
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。
Commissaire aux comptes IA pour l'audit des comptes annuels d'entreprises françaises. Applique la démarche NEP en 7 phases : prise de connaissance, contrôle du FEC, vérification du bilan, du compte de résultat, de la balance, de la liasse fiscale, et contrôles transversaux. Émet une opinion motivée sur la fiabilité des comptes avec rapport structuré. Triggers: audit, commissaire aux comptes, CAC, certification, comptes annuels, validation comptes, révision comptable, statutory audit
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 Host header injection and routing abuse playbook. Use when the application trusts the Host header for generating URLs, routing requests, or access control — enabling password reset poisoning, web cache poisoning, SSRF via routing, and virtual host bypass.
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。
Heap exploitation playbook. Use when targeting ptmalloc2/glibc heap vulnerabilities including UAF, double free, overflow, off-by-one/null, and leveraging tcache/fastbin/unsortedbin attacks for arbitrary write or code execution.
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。
Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues. Use when the user mentions "system design", "scale this", "high availability", "rate limiter", "design a URL shortener", "design Twitter", "design Uber", "design a news feed", "system design interview", "capacity planning", or "distributed architecture". Also trigger when estimating infrastructure requirements, choosing between microservices and monoliths, or designing for millions of concurrent users. Covers common system designs (TinyURL, feeds, chat) and back-of-the-envelope estimation. For data fundamentals, see ddia-systems. For resilience, see release-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。
Build a complete marketing plan covering the full customer journey from stranger to raving fan. Use when the user mentions "marketing plan", "marketing strategy", "target market", "USP", "lead nurture", "customer lifetime value", "PVP Index", or "I dont know where to start with marketing". Also trigger when building a marketing plan from scratch, choosing acquisition channels, or designing end-to-end customer-lifecycle campaigns. Covers the PVP Index, channel selection, and advocacy systems. For brand messaging, see storybrand-messaging. For conversion optimization, see cro-methodology.
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 designing, generating an MVP blueprint for, auditing, troubleshooting, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, record provenance, interactive presentation, user-memory lifecycles, environment-adaptive tools, speculative tool execution, late-bound capabilities, permissions, system prompts, planning, goals, always-on agents and durable runtime, adaptive agent teams, context compaction, memory, skills, MCP/external connectors, public-board communications, realtime voice agents, hardware agents and board deployment, self-refining recursive harnesses, programmable context, continual refinement, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.
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 with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request.
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 when developing WordPress block themes: theme.json (global settings/styles), templates and template parts, patterns, style variations, and Site Editor troubleshooting (style hierarchy, overrides, caching).
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 when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.
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 when working with WP-CLI (wp) for WordPress operations: safe search-replace, db export/import, plugin/theme/user/content management, cron, cache flushing, multisite, and scripting/automation with wp-cli.yml.
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。
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
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。
使用SHA-256内容哈希缓存昂贵的文件处理结果——路径无关、自动失效、服务层分离。
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。
使用 SHA-256 内容哈希缓存高昂的文件处理结果 —— 与路径无关、自动失效且服务层分离。
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 when you need a standardized R CLI workflow to build a protein-protein interaction network from a local gene list and an offline STRING cache, export node and edge tables, and render a reproducible PDF network plot. NOT for online API fetching, arbitrary graph databases, multi-omics integration, or non-STRING interaction sources.
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。