2.7천건 · 관련도순
Confiabilidade da plataforma — SLO, error budget, capacidade, resiliência, ponto único de falha e revisão de prontidão. Use quando o usuário disser "SLA", "SLO", "disponibilidade", "resiliência", "aguenta?", "single point of failure", "production readiness", "quanto de folga temos".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Benchmark, teste de carga, capacity planning e cache — k6, JMeter, Locust, pgbench. Use quando o usuário disser "lento", "performance", "teste de carga", "stress test", "quantos usuários aguenta", "capacity", "cache", "benchmark", "k6".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
CI/CD e automação — GitHub Actions, Terraform, OpenTofu, Ansible, n8n. Use quando o usuário disser "pipeline", "CI/CD", "GitHub Actions", "workflow", "terraform", "ansible", "n8n", "automatizar", "deploy automático", "IaC".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," "free resource," "ROI calculator," "grader tool," "audit tool," "should I build a free tool," or "tools for lead gen." Use this whenever someone wants to build something useful and give it away to attract leads or earn links. For downloadable content lead magnets (ebooks, checklists, templates), see lead-magnets.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Route code cleanup, maintainability, React diagnostics, and over-engineering review to focused review modes. Use when auditing code quality or asking for a particular review lens.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
計算型閘門 SKILL — Harness Engineering 的確定性驗證核心。在 Agent 每次完成代碼修改後自動執行一組計算型感測器（Computational Sensors），產生 Agent 友善的錯誤修正提示。USE FOR: 任何代碼修改後的自動品質驗證。DO NOT USE FOR: 僅文件修改、純美術資產生成（無 TypeScript 改動）。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Improve agent reliability over time — diagnose why agents fail and fix the setup. Triggers on: agent keeps failing, same mistake again, agent not improving, make agent smarter, agent quality plateau, agents ignore skills, agent skips tests, fix agent behavior, agent unreliable, improve agent setup, self-improving harness, agents worse over time, tune agent instructions, agent going in circles, agent ignores AGENTS.md, repeated agent errors. Requires harness v0 and eval harness. AUTO-ROUTED from harness-engineering on symptoms. Not first setup — harness-generation first.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Flip a problem, goal, or decision 180 degrees to find what forward thinking misses. Asks what would guarantee failure, then works backward to what must be avoided or changed. Load when the user says "invert this", "flip this problem", "what would guarantee failure", "think backward", "reverse engineer the goal", "think about it backwards", or when deep-thinking diagnoses an inversion frame. Also triggers on "what's the opposite of success here", "how would we sabotage this". Two methods: Failure Inversion and Opposite Goal. Max 2 clarifying questions before inverting. Always returns forward actions. For broader analysis, deep-thinking calls this.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create a detailed, step-by-step implementation plan for a feature or project. Load when the user asks to plan a feature, create a technical roadmap, break down a PRD into tasks, design an implementation strategy, or sequence engineering work. Also triggers on "how should we build this", "implementation plan for", "technical breakdown", "task list for", or any request to turn a high-level requirement into a concrete execution plan. Supports phased rollouts, architecture-first, and MVP-focused planning.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run a structured discovery interview and produce a complete, developer-ready Product Requirements Document. Load when the user asks to write a PRD, create product requirements, document a feature, define user stories with acceptance criteria, or turn a rough idea into a formal product requirements document. Also triggers on "document this feature", "write requirements for", "create a one-pager", "turn this into a PRD", "I need a PRD for", or any request to produce a structured product document for stakeholder alignment or engineering handoff. Supports Full PRD, Lean PRD, and One-Pager formats. Note: for executable feature specifications (FRs, NFRs, ACs as Given/When/Then consumable by AI coding agents), route to `feature-spec` instead — PRDs frame the product, feature-specs encode the implementable contract.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Orchestrate one or more thinking frameworks to work through any problem, decision, document, or idea rigorously. Diagnoses which frameworks fit — inversion, pre-mortem, assumption-mapping, socratic, adversarial-hat — then guides the user through them in the right sequence. Load when the user asks for deep thinking, says "help me think through this properly", "apply your best thinking frameworks", "I need to think carefully before deciding", or "what thinking tools should I use here". Also the entry point for any complex problem where the right framework is unclear. Covers product decisions, engineering tradeoffs, personal decisions, strategy, creative challenges — any domain.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
This skill enforces Sentry's blog writing standards across every post — whether you're helping an engineer write their first blog post or a marketer draft a product announcement.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Core UI/UX engineering skill for building highly interactive, spatial, weightless, and glassmorphism-based web interfaces using GSAP and 3D CSS.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
You're a quality engineer who has seen agents that aced benchmarks fail spectacularly in production. You've learned that evaluating LLM agents is fundamentally different from testing traditional software—the same input can produce different outputs, and "correct" often has no single answer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
You know AI wrappers get a bad rap, but the good ones solve real problems. You build products where AI is the engine, not the gimmick. You understand prompt engineering is product development. You balance costs with user experience. You create AI products people actually pay for and use daily.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.