content-engine은(는) 무엇을 하나요?
X, LinkedIn, TikTok, YouTube, 뉴스레터 및 멀티 플랫폼 캠페인을 위한 플랫폼 네이티브 콘텐츠 시스템을 만듭니다. 사용자가 소셜 게시물, 스레드, 스크립트, 콘텐츠 캘린더 또는 하나의 소스 에셋을 여러 플랫폼에 맞게 깔끔하게 변환하려 할 때 사용하세요.
X, LinkedIn, TikTok, YouTube, 뉴스레터 및 멀티 플랫폼 캠페인을 위한 플랫폼 네이티브 콘텐츠 시스템을 만듭니다. 사용자가 소셜 게시물, 스레드, 스크립트, 콘텐츠 캘린더 또는 하나의 소스 에셋을 여러 플랫폼에 맞게 깔끔하게 변환하려 할 때 사용하세요.
이 스킬은 AI 에이전트가 X, LinkedIn, TikTok, YouTube, 뉴스레터 등 다양한 플랫폼에 최적화된 콘텐츠 시스템을 생성할 수 있도록 설계된 전문 도구입니다. 사용자가 소셜 미디어 게시물, 스레드, 비디오 스크립트, 콘텐츠 캘린더를 요청하거나 하나의 원본 콘텐츠를 여러 플랫폼에 맞게 재활용하려 할 때 이 스킬을 사용합니다. 각 플랫폼의 고유한 형식, 어조, 모범 사례를 이해하여 플랫폼 네이티브 느낌의 콘텐츠를 생성합니다. 예를 들어, 동일한 블로그 게시물을 LinkedIn 전문가 게시물, X 스레드, TikTok 대본으로 자동 변환하여 일관된 메시지를 유지하면서도 각 플랫폼에 맞는 최적의 표현을 제공합니다. 이를 통해 콘텐츠 제작 시간을 크게 단축하고 멀티 플랫폼 마케팅 전략의 효율성을 높일 수 있습니다. Claude Code, Cursor, Codex 등 주요 AI 코딩 에이전트와 호환되며, 명령어 기반으로 직관적으로 사용할 수 있습니다.
npx skills add https://github.com/affaan-m/ECC/tree/main/.agents/skills/content-engineX, LinkedIn, TikTok, YouTube, 뉴스레터 및 멀티 플랫폼 캠페인을 위한 플랫폼 네이티브 콘텐츠 시스템을 만듭니다. 사용자가 소셜 게시물, 스레드, 스크립트, 콘텐츠 캘린더 또는 하나의 소스 에셋을 여러 플랫폼에 맞게 깔끔하게 변환하려 할 때 사용하세요.
This repo contains 20 individual skills — each has its own dedicated page.
Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.
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.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
日本語翻訳：このファイルは manim-video 用の日本語翻訳が必要です
Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.
Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.
Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.
Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.
Build a new API connector or provider by matching the target repo
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.