claude-stack

Build a private, self-hosted "watch a movie together in sync" site for two people in different countries — synced play/pause/seek over WebSocket, WebRTC camera+mic call with a coturn TURN relay, a shared laser pointer, ffmpeg smooth-bitrate transcoding so it never buffers, and a token-gated room link. Use when someone wants to watch local video files in sync with a partner/friend remotely, replace Kosmi/Teleparty/Twoseven with something they own, stream a personal movie library over the web with synced controls, or add a video-call overlay to a video player. Triggers: "watch movies together long distance", "sync video playback two browsers", "self-hosted watch party", "Kosmi alternative", "stream my movie to my girlfriend with subtitles and sync".

Subject-aware reframing of horizontal video to vertical (9:16 / 4:5 / 1:1) using YOLOv8 person detection. Per-scene decision between TRACK (crop tightly on subject) and LETTERBOX (scale + black bars) so people stay centered through cuts and motion. Trigger when user says "reframe to vertical", "16:9 to 9:16", "convert landscape to portrait", "shorts crop", "smart crop for TikTok", "vertical YouTube short from horizontal", "auto-crop interview clip", "reframe podcast video", "make this video vertical", or any equivalent intent. Use as a STAGE inside viral-clipper / book-video / channel-breakdown pipelines whenever the source has more than one person on screen or the subject moves around the frame.

Receive and verify Clerk webhooks. Use when setting up Clerk webhook handlers, debugging signature verification, or handling user events like user.created, user.updated, session.created, or organization.created.

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.

Strip AI voice from text — humanize while preserving meaning. Combines glebis's RU/EN/DE/ES/FR/PT/JP/IT diagnostic pipeline with the author's Humanizer Prompt + the Buddha-at-2-AM shipped-manuscript reverse-engineering + the (redacted) Russian-original voice analysis. Use for KDP books, the publication series, marketing copy, or any text that needs to read like a real person wrote it. Pairs with locked voice voice spec.

Invoke DeerFlow — ByteDance's multi-agent research harness running Claude Sonnet 4.6. Use for deep research tasks, multi-step web research, document analysis, and report generation. Spins up a local LangGraph agent that decomposes the task into sub-agents in parallel. Requires the backend to be running first.

Router for all UI/UX/visual design work. Invoke when user types "design conductor", "/design", "design:", or "redesign:". Reads the task, picks the right stages (PLAN → STYLE → BUILD → REFINE → AUDIT), and dispatches the matching sub-skills in order. Don't merge the sub-skills — chain them.

Fetch brand-specific DESIGN.md system specs from getdesign.md when the user wants UI to match a known brand's aesthetic ("make it look like Stripe", "Apple-style", "Linear feel"). Covers 59 brands across SaaS, fintech, consumer tech, automotive, AI labs, and creator tools. Use BEFORE picking a generic style skill — brand match always beats generic.

AI video upscaling via fal.ai (Topaz, ByteDance, Wan Vision Enhancer) — take 768px / 720p clips up to 1080p or 4K for YouTube. Use when upscaling video, cleaning up rendered AI video, taking ltx2 output to 4K, or preparing footage for high-resolution delivery. Triggers include "upscale video", "make this 4K", "ltx2 output looks blurry", "clean up rendered video", "1080p upscale", "topaz upscale", "video super resolution".

Elite frontend image-direction skill for generating premium, artistic, implementation-friendly website design references. Uses combinatorial variation to avoid repetitive AI aesthetics, enforces cinematic hero minimalism, strong hierarchy, generous spacing, image-led composition, and anti-slop visual discipline. Optimized for hero sections, landing pages, and multi-section site comps that developers or coding models can accurately recreate.

Receive and verify GitHub webhooks. Use when setting up GitHub webhook handlers, debugging signature verification, or handling repository events like push, pull_request, issues, or release.

Generate and edit images using OpenAI's GPT Image 2 API. Interactive skill that guides users through image creation with style presets, cost-aware draft/final workflow, thinking mode, carousels, and photo editing. This skill should be used when the user requests image generation via OpenAI/GPT Image 2, wants to create social media carousels, edit photos into artistic styles, or needs images with readable text (infographics, diagrams, posters).

Hookdeck Event Gateway — webhook infrastructure that replaces your queue. Use when receiving webhooks and need guaranteed delivery, automatic retries, replay, rate limiting, filtering, or observability. Eliminates the need for your own message queue for webhook processing.

Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web.

AI video generation with LTX-2.3 22B — text-to-video, image-to-video clips for video production. Use when generating video clips, animating images, creating b-roll, animated backgrounds, or motion content. Triggers include video generation, animate image, b-roll, motion, video clip, text-to-video, image-to-video.

Create professional, consultant-grade PowerPoint presentations from scratch using MckEngine (python-pptx wrapper) with McKinsey-style design. Use when user asks to create slides, pitch decks, business presentations, strategy decks, quarterly reviews, board meeting slides, or any professional PPTX. AI calls eng.cover(), eng.donut(), eng.timeline() etc — 67 high-level methods across 12 categories (structure, data, framework, comparison, narrative, timeline, team, charts, images, advanced viz, dashboards, visual storytelling), consistent typography, zero file-corruption issues, BLOCK_ARC native shapes for circular charts (donut, pie, gauge), production-hardened guard rails for spacing, overflow, legend consistency, title style uniformity, dynamic sizing for variable-count layouts, horizontal item overflow protection, chart rendering, and AI-generated cover images via Tencent Hunyuan 2.0 with professional cutout, cool grey-blue tint, and McKinsey-style Bézier ribbon decoration.

Offensive AI security testing and exploitation framework. Systematically tests LLM applications for OWASP Top 10 vulnerabilities including prompt injection, model extraction, data poisoning, and supply chain attacks. Integrates with pentest workflows to discover and exploit AI-specific threats.

CVE research, standalone PoC script and report generation. Given a CVE ID, researches NVD and advisories, generates a safe Python PoC, and writes a detailed vulnerability report.

Open-source intelligence gathering - company repository enumeration, secret scanning, git history analysis, employee footprint, and code exposure discovery.

Security-focused source code review and SAST. Scans for vulnerabilities (OWASP Top 10, CWE Top 25), CVEs in third-party dependencies/packages, hardcoded secrets, malicious code, and insecure patterns. Use when given source code, a repo path, or asked to "audit", "scan", "review" code security, or "check dependencies for CVEs".

Complete skill for building, debugging, and shipping React Native / Expo apps in 2025-2026. Use when the user is building a mobile app, starting a new Expo project, debugging Expo Go crashes, setting up EAS builds, submitting to Google Play / App Store, writing animation patterns, or asking about mobile architecture decisions. Distilled from production Expo SDK 54 apps, official docs, Reddit r/reactnative hot threads, GitHub issues on expo/expo and facebook/react-native, and teardowns of shipped apps (Elirox, Instamobile templates). Covers 13 gotchas, 13 UX patterns, full deployment pipeline, animation stack, and production architecture boilerplate.

Audits all installed Claude Code skills for quality, redundancy, and dead weight. Use when the user asks to audit skills, find dead skills, evaluate skill coverage, compare skills, or identify the weakest skill in their library. Runs against ~/.claude/skills/ and surfaces which skills are stale, overlapping, or under-performing.

Use when the user wants to analyze, audit, or improve their Agent Skills (SKILL.md files). Triggers on /optimize-skill, /skill-audit, 'optimize skills', 'analyze skills', 'check my skills', 'skill quality'. Also use proactively when the user mentions skills aren't triggering, skills feel broken, or asks why a skill didn't fire.

Extract structured insights (decisions, action items, opinions, questions, terminology) from any transcript using Cerebras llama-3.3-70b. Use when the user says "extract structured insights from transcripts", "analyze the daytradewarrior transcripts", "what are the decisions in this meeting", "find action items", "build a glossary from this discussion", "summarize key points from this recording", or asks to process meeting/podcast/YouTube/interview transcripts. Outputs markdown with YAML frontmatter, confidence-scored extractions, and incremental glossary.

Speaker diarization (who-spoke-when labels) + Whisper transcription for podcasts, interviews, multi-person videos, and YouTube URLs. Use when the user asks any of - "who's speaking when", "diarize this podcast", "speaker labels for video", "label speakers in interview", "split podcast by speaker", "transcribe with speaker names", "label this conversation". Local install at C:\Users\A\Desktop\TubeScript\ — pyannote.audio 3.1 + OpenAI Whisper + FastAPI backend + Vite frontend, exports SRT/VTT/TXT with speaker tags.

UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code.

Agentic NLE pattern — read raw footage as a transcript (NOT frames), produce an Edit Decision List (EDL), then emit ffmpeg/moviepy/Remotion render commands. Use when the user says "edit raw footage", "cut a video from transcript", "agentic video editing", "turn these takes into a video", "remove filler words / dead space / umms", "make a podcast cut from these clips", "talking-head trim", or drops a folder of MP4s/MOVs and asks for `final.mp4`. Adapted from browser-use/video-use prompt pattern (no code copied — repo is unlicensed). Wires into the author's existing skills rather than duplicating them.

Build a fully autonomous YouTube short-form clip factory. Discovers viral source videos in user-defined niches, AI-detects the best 25-60s moments, renders 9:16 with karaoke captions on a local GPU, and auto-posts to multiple YouTube channels via official API. Splits across VPS (always-on queue + posting) and laptop (GPU rendering). Use this skill when the user wants automated viral clip generation, OpusClip alternative, AI YouTube automation, or multi-channel content scheduling.