context-and-decisions
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SKILL DIRECTORY
설치 수와 최근 흐름을 기준으로 필요한 Agent Skill을 찾아보세요.
skills.sh API 기준방금 확인
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Agent-driven scheduling and publishing of social media posts across 13 platforms via SocialClaw. Use when the user wants to publish to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, or Pinterest — or when managing campaigns, uploading media, or monitoring post delivery status.
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.
Node.js/TypeScript에서 Genkit을 사용하여 AI 기반 애플리케이션을 개발하세요. 사용자가 Genkit, AI 에이전트, 플로우 또는 JavaScript/TypeScript 기반 도구에 대해 문의하거나, Genkit 오류, 유효성 검사 문제, 유형 오류 또는 API 문제가 발생했을 때 이 문서를 참조하세요.
Run the ECC engineering process retroactively against an existing project slice. Audit current state, reconstruct past decisions, produce a four-axis gap register (thinking, coding practice, missing features, technology selection), then execute fixes forward through the plan-TDD-review pipeline. Use when adopting ECC mid-project, taking over an inherited codebase, or asking what was missed and what would have been built differently from day one.
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, advanced. Use when writing, reviewing, or refactoring React/Next.js code for performance.
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks. Use when setting up write-time formatting, linting, or auto-fix hooks on file edits.
PostgreSQL, MySQL 및 일반적인 ORM(Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate) 전반에 걸친 스키마 변경, 데이터 마이그레이션, 롤백 및 무중단 배포를 위한 데이터베이스 마이그레이션 모범 사례. 스키마 또는 데이터 마이그레이션을 작성하거나, 롤백을 계획하거나, 무중단 배포를 목표로 할 때 활용하십시오.
Run a structured, resumable multi-session brand identity interview across 8 modules (purpose, positioning, audience, personality, voice, narrative, founder tension) using laddering, 5 Whys, and projective techniques, persisting answers to disk and producing a master brandbook (90_SYNTHESIS.md). Use when creating or repositioning a brand, briefing designers or writers, or making implicit founder knowledge explicit.
Creative-direction layer for music videos and short-form edits in the angelcore / cloud-trance / hyperpop family — a named-genre aesthetic vocabulary, mood + color + light system, beat-synced editing grammar, and a pipeline chaining ECC's video skills from b-roll generation to distribution. Use when a video must feel intentional rather than merely functional — music videos, fancams, moodboard-driven reels, or giving AI-generated b-roll a coherent visual direction.
EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry. Use when building EMR or EHR features such as encounter workflows, prescription generation, or clinical data entry UI.
eval-driven development(EDD) 원칙을 구현한 Claude Code 세션을 위한 형식적 평가 프레임워크입니다. Claude Code 워크플로우를 신뢰하거나 변경하기 전에 형식적 평가가 필요한 경우 이 프레임워크를 사용하십시오.
Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, validate GPU nodes, revoke Itô access, or rent or purchase GPU compute and needs the supported boundary explained.
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. Use when LLM spend needs to come down, or when routing tasks across model tiers and budgets.
Bengali (Bangla) text processing patterns including Unicode normalization, script detection, tokenization, conjunct handling, and Bangla-specific NLP best practices for AI applications.
Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.
Clone a section, widget, page or animation from any reference (a live website URL, a screen recording, an mp4/mov/webm, a gif, a Lottie file, a prototype export) frame by frame into the user's own codebase, then record the clone and verify it against the reference frame by frame, iterating until timing, easing, sequence and layout match. Use whenever the user wants to clone, copy, replicate, recreate, reverse-engineer, port or "steal" a hero, section, widget, marquee, carousel, hover effect, page transition, loader, scroll animation or interaction from a site or video, says "make it look/feel/move like this", "same animation as", "match this exactly", or hands over a gif/video and asks to build it, including when they also want to add their own content, colours or extra features on top, or only want part of the reference (one section, one widget, a few seconds). Covers canvas, WebGL, WebGPU and three.js / 3D scenes (shaders, particles, globes, glTF models) as well as CSS and JS motion. Pixel-level matching of fonts, colours and spacing is done only when they ask for it.
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.