damionrashford

Trim, cut, split, segment, and concatenate media with ffmpeg (stream copy when possible, re-encode across cut boundaries). Use when the user asks to trim a video, cut a clip, extract a segment by timestamps, remove a section, split into parts, join/merge…

Install and configure OBS Studio programmatically: install via brew cask / winget / Flatpak / apt, author profiles (basic.ini, streamEncoder.json, recordEncoder.json), author scene collections (scenes JSON), manage global.ini, set defaults for encoder /…

Deep media inspection + automated QC — ffprobe stream details, MediaInfo diagnostics, VMAF/PSNR/SSIM quality metrics, PySceneDetect scene cuts, crop/silence/black-frame/interlacing detection, ffplay scope debugging, NAL/SEI bitstream forensics, metadata…

Routes media production requests to the right Media OS specialist subagent. ALWAYS use this skill when the user expresses ANY media production intent — "go live", "start streaming", "OBS broadcast", "wire up live rig", "NDI to stream", "PTZ camera setup",…

Ingest from every source — web (yt-dlp), screen / webcam / mic capture, SDI (DeckLink), DSLR tether (gphoto2), NDI network sources, RTSP / IP cameras via MediaMTX, PTZ — then verify integrity (SHA-256 + full-decode pass), preserve metadata (EXIF / XMP /…

Restore, upscale, and enhance existing footage using 2026 open-source AI models — Real-ESRGAN/SwinIR/HAT super-resolution, RIFE/FILM interpolation, DeepFilterNet/RNNoise audio denoise, rembg/BiRefNet/RVM matting, Depth-Anything v2 depth — with strict OSI-open…

Generate media from scratch with 2026 open-source AI — TTS voiceover (Kokoro / OpenVoice / Piper), image gen (FLUX-schnell / Kolors / Sana / ComfyUI), video gen (LTX-Video / CogVideoX / Mochi / Wan), music (Riffusion / YuE), lipsync talking heads…

Full-stack audio routing across macOS / Linux / Windows, MIDI + OSC control surfaces, DAW integration over JACK, DSP (EQ / compression / loudness / spatial / binaural HRTF), AI denoise (DeepFilterNet / RNNoise / Resemble Enhance), stem separation (Demucs),…

Comprehensive Claude Code knowledge base — plugins, hooks, skills, agents, MCP, channels, headless mode, permissions, settings, and all extensibility features. Use when building, configuring, debugging, or extending Claude Code.

Use when building a skill, creating a SKILL.md, packaging a workflow, making a slash command, or asked "how do I make a skill". Scaffolds the folder, generates SKILL.md from a template, validates against spec. Produces a complete ready-to-deploy skill folder:…

Statistical analysis, hypothesis testing, A/B testing, cohort analysis, segmentation, trend detection, business metrics, pre-delivery validation, and data visualization. Use when the user asks to "analyze this data", "run a statistical test", "compare…

Autonomous time-budget experiment loop. Modify a training script, train for a fixed wall-clock budget, evaluate, record, repeat. Inspired by karpathy/autoresearch. Use for overnight architecture search, systematic hyperparameter sweeps, or any iterative model…

Context engineering for building production LLM applications: context window management, degradation patterns, optimization strategies, memory system selection, multi-agent architecture, filesystem context patterns, and tool design principles. Use when…

Explore, clean, and engineer datasets end-to-end: statistical profiling, distribution checks, missing value analysis, duplicate detection, outlier removal, type fixing, encoding, create features, encode categories, transform columns, add rolling windows,…

Detect data drift, concept drift, and model performance degradation in production. Uses PSI, KS-test, and chi-squared for statistical drift, plus evidently and nannyml for automated reports. Use when monitoring a deployed model or comparing training vs…

Systematic evaluation of ML models, experiments, and AI system outputs. Multi-dimensional rubrics, LLM-as-judge, bias detection, and structured comparison frameworks. Use when the user asks to "evaluate model performance", "compare models", "build evaluation…

Script macOS apps via AppleScript/JXA: Mail, Calendar (EventKit attendees), Notes, Reminders, Finder (disk/file info), and Spotlight/mdfind (full-text and metadata search across the file system).

Control macOS system audio via osascript. Use when getting or setting system volume, toggling mute, listing audio input/output devices, or checking which device is the default output.

Automate Google Chrome with osascript/JXA. Use when listing/focusing/closing/navigating/reloading tabs, muting tabs, managing windows, executing JavaScript, scraping page content, extracting links, filling forms, reading localStorage/cookies/audio state, or…

Read and write the macOS clipboard with full type support. Use when reading clipboard text, HTML, RTF, images, or file paths (Finder copy); writing rich content; detecting clipboard changes via changeCount; or intercepting content between copy and paste.

Read macOS app SQLite databases directly. Use when reading iMessage chat history, Chrome browsing history, Safari history, or any local app SQLite DB. Always copy the DB before querying — most apps lock the file while running.

Create and manage macOS LaunchAgents and LaunchDaemons. Use when setting up background automation, scheduled tasks, file watchers (WatchPaths), interval polling, or persistent daemons that survive logout or reboot.

Inspect macOS network state. Use when getting current WiFi SSID, signal strength, and channel; listing all network interfaces with IP/MAC addresses; or watching for network connect/disconnect events via Darwin notifications.

macOS notifications and system event watching. Use when sending notifications, creating actionable notifications with buttons, watching for screen lock/unlock, detecting network changes, or listening to Darwin/NSDistributedNotification system events.

Competitive intelligence for companies, products, markets, or websites. Maps sites, analyzes products and pricing, tracks news and sentiment, profiles the competitive landscape, and produces SWOT analysis. Use when analyzing competitors, evaluating markets,…

Comprehensive due diligence on companies or individuals. Investigates background, product, financials, leadership, technology, risks, competitive position, and public reputation. Use when evaluating companies for investment, researching people, or making…

Verify claims, statements, or assertions by cross-referencing web, news, academic, and social sources. Produces a confidence-scored verdict with full evidence chain. Use when verifying claims, checking facts, or validating statements.

Comprehensive multi-source research with academic depth. Searches web, social platforms, news, academic databases, and GitHub. Discovers papers, datasets, and open source implementations. Use when conducting research, literature reviews, or investigating any…

Track and analyze trends, breaking news, and market shifts. Measures velocity across web, social, news, GitHub, and academic signals. Produces news digests and trend trajectory reports. Use when tracking news, identifying trends, or monitoring developments.

Stress-test any idea, proposal, or plan by finding its weakest points, probing hidden assumptions with Socratic questions, and identifying failure modes through red team analysis. Use when the user asks to stress-test, poke holes, find weaknesses, red team,…

Build the strongest possible version of an argument, then argue the complete opposite with equal conviction. Use when the user asks to steelman something, argue both sides, make the strongest case, or understand the best version of an opposing view.

Deliver a structured verdict on any idea, argument, or proposal, identifying what survives scrutiny, what doesn't, and what needs more work. Includes the gadfly sting, the one uncomfortable truth nobody wants to say. Use when the user asks for a verdict,…

Full adversarial analysis of any idea, proposal, or argument. Runs steelman, crucible, and verdict in sequence for a complete challenge drawing from 10 reasoning traditions. Use when the user asks to play devil's advocate, run a full challenge, or says 'tear…

Generate rich outputs from ingested sources — flashcards, quizzes, reports, slide decks, mind maps, infographics, data tables, or audio overviews. Use when the user wants to create any output from their documents.

Launch a live NotebookLM-style dashboard for managing sources and generating outputs. Use when the user wants a visual interface, dashboard, or UI for their notebook.

Ingest and vectorize PDFs or text files for RAG retrieval. Use when the user provides a PDF, document, or text file they want to analyze, study, or generate content from.

Prints a greeting and the sandbox host info by running its bundled script.

Compute a sum of integers and write only the total to result.txt in the workspace root.

Deterministic deep research via RivalSearchMCP. 9 tools: 5-engine web search (DuckDuckGo/Bing/Yahoo/Mojeek/Wikipedia), 9-platform social search (Reddit/HN/StackOverflow/Dev.to/Medium/ProductHunt/Bluesky/Lobste.rs/Lemmy), 5-source news…

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Autonomous ML experiment loop for improving NBA prediction models. Modifies autoresearch/experiment.py, runs evaluations, keeps/discards results based on NBA_CORE composite score. Use when user says "run autoresearch", "improve models", "run experiments",…