Skills publicadas
Mostrando 12 de 54ltx-video
Set up, configure, and run LTX-2/LTX-2.3 (Lightricks) for AI video and audio generation. Use when: (1) Installing LTX-2 locally or via ComfyUI, (2) Generating video from text, image, audio, or keyframes, (3) Running inference with the 22B dev/distilled models, (4) Fine-tuning with LoRA/IC-LoRA, (5) Configuring upscalers (spatial/temporal), (6) Optimizing VRAM usage (FP8, quantization, low-VRAM mod
weekly-review
Scans the vault for updates from the past week, surfaces what changed, and flags what needs attention. Produces a structured weekly review. Use when the user says "weekly review", "week in review", "what happened this week", "weekly summary", "end of week review", or at the end of a work week.
blog-post
Full-stack blog post production — turns a topic, idea, or brief into a complete publishing package across written, social, and multimedia surfaces. Generates broomva.tech .mdx posts (or Substack/other long-form), X posts and threads, LinkedIn posts, Instagram posts and reel scripts, plus multimedia asset plans (images, video, audio, GIFs). Outputs a structured content package to /broomva/posts/. U
ocean-genomics
Comprehensive bioinformatics and ocean genomics skill for eDNA metabarcoding, metagenomics, protein structure prediction, and marine biodiversity analysis. Use when: (1) Working with DNA/RNA sequences (FASTQ, FASTA, SAM/BAM, VCF files), (2) Running BLAST, QIIME2, Kraken2, or Nextflow pipelines, (3) Predicting protein structures via AlphaFold, ESMFold, or ColabFold, (4) Analyzing environmental DNA
orcahand
Full-stack skill for the ORCA Hand — 17-DOF tendon-driven robotic hand (ETH Zurich). Implements agentic-control-kernel Plant interface with typed schemas, safety shields, multi-rate loops. Lifecycle: 3D print + assembly, MuJoCo sim (orca_sim), RL training (macOS + remote GPU), teleoperation (AVP/Rokoko/MediaPipe via orca_retargeter), sim-to-real, EGRI improvement. Use when: building/assembling Orc
strategy-critique
Reads a strategy doc and writes a red-team critique with gaps, risks, and missing assumptions. Adopts an adversarial but constructive stance. Use when the user says "strategy critique", "red team this", "critique my strategy", "find the holes", "stress test this plan", "what am I missing", or provides a strategy document for review.
health
Personal health knowledge graph — local-first ingest of Garmin (Apple Health, Whoop, Oura, CGM in v2+) traces into SQLite, projected to Obsidian daily-note frontmatter, synthesized into validated longevity-proxy metrics (HRV-CV, CTL/ATL/TSB, VO2max arc). Hex architecture so new sources drop in as adapters. NOT a coaching surface in v1.
deep-dive-research-orchestrator
Conduct comprehensive multi-dimensional research on any subject using coordinated AI research specialists
remote-gpu
Orchestrate a headless GPU server (NUC, cloud VM, or any SSH-accessible machine) from a local Mac or workstation. Use when: (1) Running GPU workloads remotely (training, inference, video generation), (2) Triggering Claude Code sessions on a remote machine, (3) Launching autoany EGRI loops, symphony orchestrations, or training scripts on remote hardware, (4) Managing jobs on a headless GPU server (
livecoding
Algorave-grade livecoded music workflow — TidalCycles patterns (Haskell DSL driving SuperDirt over OSC) + Hydra-synth visuals (browser or VS Code Simple Browser via a local HTML page that loads hydra-synth from CDN). Wraps the boot ritual (SuperCollider → SuperDirt → Tidal → Hydra), a vibe-descriptor pattern generator (industrial, ambient, DnB, footwork, techno, algorave-glitch), and a reference t
launch-video
Produce polished product launch videos using the Liquid Glass aesthetic — dark void backgrounds, 3D perspective floating UI panels, particle effects, spring animations, and cinematic pacing. Built on Remotion with Imagen 4.0 for frames and Veo 3.1 for B-roll. Use when: (1) creating a product demo or launch video, (2) showcasing a UI/app/tool with cinematic polish, (3) building a social-ready video
tribe-v2-neuroscience
In-silico neuroscience experiments using Meta's TRIBE v2 (TRansformer for In-silico Brain Experiments). Predicts fMRI cortical responses to video, audio, and text without brain scanners. Use when: (1) Designing and running virtual neuroscience experiments, (2) Predicting brain responses to stimuli, (3) Replicating classic neuroscience paradigms computationally, (4) Mapping which stimuli activate s