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Diagnose failures in GKE HorizontalPodAutoscaler (HPA), which adjusts Pod counts automatically. Investigate missing metrics, unexpected scaling behavior, and slow reactions, then receive proposed configuration fixes or commands for review before deployment.
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Adjust application capacity on GKE through manual scaling, HPA for changing the number of running pods, and VPA for adjusting CPU and memory allocations. Includes configuration templates and a workflow for reviewing resource requests against actual usage.
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Track newly launched meme tokens, those nearing exchange migration, and recent migrations. Filter by age, market value, or developer behavior, and explore AI-detected market themes with related tokens ranked by incoming funds.
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Build TypeScript data services with optional query filters, typed results, and caching. Add a circuit breaker, a mechanism that pauses API calls after repeated failures, and keep API keys behind server-side proxy endpoints.
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Personal AI Infrastructure (PAI) - PAI System Template MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. === CORE IDENTITY (Always Active) === Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas] Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend] Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.] Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context management Message to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.] === ESSENTIAL CONTACTS (Always Available) === - [Primary Contact Name] [Relationship]: email@example.com - [Secondary Contact] [Relationship]: email@example.com - [Third Contact] [Relationship]: email@example.com Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScript, Python, Rust] - Package managers: [e.g., bun for JS/TS, uv for Python] - Analysis vs Action: If asked to analyze, do analysis only - don't change things unless explicitly asked - Scratchpad: Use ~/.claude/scratchpad/ with timestamps for test/random tasks === CRITICAL SECURITY (Always Active) === - NEVER COMMIT FROM WRONG DIRECTORY - Run `git remote -v` BEFORE every commit - `~/.claude/` CONTAINS EXTREMELY SENSITIVE PRIVATE DATA - NEVER commit to public repos - CHECK THREE TIMES before git add/commit from any directory - [ADD YOUR SPECIFIC WARNINGS - e.g., iCloud directory, company repos, etc.] === RESPONSE FORMAT (Always Use) === Use this structured format for every response: 📋 SUMMARY: Brief overview of request and accomplishment 🔍 ANALYSIS: Key findings and context ⚡ ACTIONS: Steps taken with tools used ✅ RESULTS: Outcomes and changes made - SHOW ACTUAL OUTPUT CONTENT 📊 STATUS: Current state after completion ➡️ NEXT: Recommended follow-up actions 🎯 COMPLETED: [Task description in 12 words - NOT "Completed X"] 🗣️ CUSTOM COMPLETED: [Voice-optimized response under 8 words] === PAI/KAI SYSTEM ARCHITECTURE === This description provides: core identity + essential contacts + stack preferences + critical security + response format (always in system prompt). Full context loaded from SKILL.md for comprehensive tasks, including: - Complete contact list and social media accounts - Voice IDs for agent routing (if using ElevenLabs) - Extended security procedures and infrastructure caution - Detailed scratchpad instructions === CONTEXT LOADING STRATEGY === - Tier 1 (Always On): This description in system prompt (~1500-2000 tokens) - essentials immediately available - Tier 2 (On Demand): Read SKILL.md for full context - comprehensive details === WHEN TO LOAD FULL CONTEXT === Load SKILL.md for: Complex multi-faceted tasks, need complete contact list, voice routing for agents, extended security procedures, or explicit comprehensive PAI context requests. === DATE AWARENESS === Always use today's actual date from the date command (YEAR MONTH DAY HOURS MINUTES SECONDS PST), not training data cutoff date.
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This skill recommends follow-up morning cortisol and/or ACTH stimulation tests or insulin-induced hypoglycemia to assess HPA axis recovery in postoperative Cushing's syndrome patients with at least one intact adrenal gland. Triggers include postoperative remission (morning cortisol <5 µg/dL or UFC <28–56 nmol/d) and the need to evaluate HPA recovery before glucocorticoid discontinuation.
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Recommends performing biochemical testing for HPA axis at least 18-24 hours after last hydrocortisone dose or longer for synthetic glucocorticoids. Use when scheduling HPA axis testing in glucocorticoid-treated patient needing assessment of adrenal reserve.
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Use when someone wants to launch a content brand from scratch on any platform. Triggers on "launch a channel", "start a YouTube channel", "build a podcast", "start a newsletter", "content brand", "creator launchpad", "build my audience", "start creating content", "grow on TikTok", "start a blog".
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Kubernetes is the operating system for the cloud. It schedules containers, handles networking, manages storage, and keeps your apps running. But K8s has a steep learning curve - abstractions on abstractions on abstractions. This skill covers the core concepts (Pods, Deployments, Services), production patterns (health checks, resource limits, HPA), and the gotchas that catch everyone (namespace confusion, service discovery, secret management). 2025 reality: You probably don't need to run your own cluster. Use managed K8s (EKS, GKE, AKS) unless you have a very good reason not to. Focus on writing good manifests, not managing etcd. Use when "kubernetes, k8s, kubectl, deployment manifest, helm chart, kustomize, pod, service yaml, ingress, horizontal pod autoscaler, hpa, kubernetes, k8s, containers, orchestration, devops, cloud-native, helm, kustomize" mentioned.
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Provides Kubernetes resource management, Helm chart patterns, service mesh configuration, and autoscaling strategies. Covers HPA, VPA, KEDA, operators, security contexts, and namespace isolation. Use when user mentions 'kubernetes', 'k8s', 'helm', 'istio', 'linkerd', 'service mesh', 'HPA', 'VPA', 'KEDA', 'pod security', 'resource quotas', 'operators'.
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Identify insects using body plan analysis, dichotomous keys to order, wing venation, mouthpart type, antennae form, leg and tarsal structure, and confidence levels. Covers the fundamental hexapod body plan verification, a simplified dichotomous key to major orders, wing venation and type analysis, mouthpart classification, antennae morphology, leg specialization and tarsal formula, and a structured confidence assessment framework. Use when you need to identify an unknown insect beyond preliminary order placement, are working through a specimen for taxonomic study, want to distinguish between similar orders or families, or need to assign a confidence level to a field identification.
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Manages scaling for GKE workloads using HPA and VPA. Use when configuring Horizontal Pod Autoscaler (HPA), configuring Vertical Pod Autoscaler (VPA), or applying best practices for GKE workload autoscaling. Do not use for cluster-level autoscaling (Cluster Autoscaler), static cluster sizing, or configuring node-level machine styles directly.
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Docker TFTP サーバ。jumanjiman/tftp-hpa コンテナで一時的な TFTP サービスを提供する。
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PyTorch Inductor pattern matcher 机制开发：扩展本仓 compile 能力（default/Inductor 后端）， 或扩展三方框架自带的类似能力——Pattern 创建/注册/调试、GraphPatternEntry 手动改图、 Copy 算子（InplaceCopy/ViewCopy）消减的机制与全生命周期，含 Phase 1–7 出口证据纪律。 当用户需要写/改/调试 pattern、处理融合不命中、做 Copy/InplaceCopy 消减或注册 replacement 时 使用；即使用户只说"pattern 不生效""copy 算子变多了""compile 没融合"而未说全称，也应触发 （触发词：pattern / pattern matcher / register_replacement / GraphPatternEntry / compile 融合 / Copy 消减）。 边界：批量下发（图 capture/replay）见 aclgraph-dev；算子本体开发见 operator-dev； 框架侧特性使能/补齐见 framework-integration。 由 dev-workflow 的 pattern/compile 开发场景路由触发，亦由 model-auto-optimization 的 S1 kernel 融合（接入/compile）替换场景指向（框架侧使能不支持、需新增/适配 pattern 时）。
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This skill recommends against initiating treatments aimed at normalizing cortisol or its action when only borderline biochemical abnormalities of the hypothalamic-pituitary-adrenal (HPA) axis are present without specific signs of Cushing's syndrome. Use when encountering borderline urinary free cortisol, late-night salivary cortisol, or dexamethasone suppression test results without classic Cushingoid features; triggers include borderline UFC (1-2× ULN), equivocal late-night salivary cortisol, or nondiagnostic low-dose DST.
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This skill recommends discontinuing glucocorticoid when the response to HPA axis recovery tests (morning cortisol, ACTH stimulation, or insulin-induced hypoglycemia) is normal, indicating adequate adrenal function recovery. Use in postoperative Cushing’s syndrome patients with at least one intact adrenal gland when test results are available.
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Suggests testing HPA axis functionality before and after starting GH replacement in patients not receiving glucocorticoid replacement with apparently normal pituitary-adrenal function. Triggers include initiating GH replacement in a GHD patient who is not on glucocorticoids and has normal adrenal function.
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validateSearch, search param validation with Zod/Valibot/ArkType adapters, fallback(), search middlewares (retainSearchParams, stripSearchParams), custom serialization (parseSearch, stringifySearch), search param inheritance, loaderDeps for cache keys, reading and writing search params.
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React Router v8 (RR8、旧 Remix) の Framework / Data / Declarative Mode リファレンス。 loader, action, middleware, routes.ts, shouldRevalidate、createBrowserRouter, RouterProvider, BrowserRouter、 hooks (useLoaderData, useActionData, useFetcher, useNavigate, useNavigation, useParams, useSearchParams)、 Form, Link, NavLink, Outlet, Route, Routes, Await、SSR / SPA / Static / RSC、ErrorBoundary, redirect, defer (v7 で削除), session, matchPath, matchRoutes, type-safe routing。 TanStack Router (@tanstack/react-router) とは別ライブラリ。
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协助编写和审查Kubernetes配置文件并排查故障，提供健康检查、权限控制、资源限制及自动伸缩的配置示例和调查命令，用于检查重启、内存不足和部署问题。
Find ranked crypto tokens and trader addresses by social buzz, search popularity, capital inflows, or trading profit and loss. Compare results across supported blockchains, with time windows and filters available for relevant rankings.
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Design persistent agent memory that retains knowledge across sessions and retrieves relevant facts when needed. Compare storage approaches, track people and changing information, and plan memory consolidation and evaluation based on the kinds of questions the agent must answer.
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Design file-based storage for agent context, including large tool results, plans, logs, and handoff notes. Keep information available outside the conversation and retrieve relevant sections when needed, instead of loading everything at once.
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Run repeatable, read-only checks on an Obsidian wiki to find broken or ambiguous links, isolated pages, missing metadata, empty sections, outdated index entries, and source-record issues. Review findings with paths, line numbers, and counts.
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