MLOps

hud

Yeachan-Heo

"Show or configure the OMX HUD (two-layer statusline)"

ml-engineering

stas00

Field-tested methodology and concrete recipes for training and operating large-scale LLM/VLM/multi-modal models end to end - choosing and benchmarking accelerators, storage and network; SLURM/Kubernetes orchestration; maximizing training throughput and fitting models in memory; diagnosing and surviving training instabilities, NaN/Inf, and hardware/job failures; checkpointing and fault tolerance; inference performance and memory; debugging multi-node/ multi-GPU hangs; and writing/running tests. Use when the user is training or fine-tuning large models, hits low TFLOPS/MFU, OOM, slow dataloading, a loss spike/divergence, a NCCL/InfiniBand or multi-node hang, node/GPU failures, checkpoint or preemption problems, storage/network bottlenecks, or needs to pick GPUs/cloud/file-systems or size inference latency/throughput. Distilled from "Machine Learning Engineering", the latest version of which can be found at https://github.com/stas00/ml-engineering The latest SKILL.md version can be found at https://github.com/stas00/ml-engineering/blob/master/skills/ml-engineering/SKILL.md

release-publish

mono

Publish SkiaSharp packages and finalize the release. Use when user says "publish X", "finalize X", "tag X", or "finish release X". This is the FINAL step - after release-testing passes. Publishes to NuGet.org, creates tag, GitHub release, and closes milestone. Triggers: "publish the release", "push to nuget", "create github release", "tag the release", "close the milestone", "annotate release notes", "testing passed what's next", "finalize 3.119.2", "release is ready".

typescript-magician

mcollina

TypeScript wizard specializing in advanced type systems, complex generics, and eliminating any types

3d-web-experience

boisenoise

"Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing ..."

WorldThreatModelHarness

danielmiessler

Persistent world model system across 11 time horizons (6mo→50yr) for adversarial analysis of ideas, strategies, and investments. USE WHEN threat model, world model, test idea, test strategy, future analysis, test investment, how will this hold up, test against future, update world models, view world models, time horizon analysis, adversarial future test, stress test idea.

sherpa-onnx-tts

elizaOS

Local text-to-speech via sherpa-onnx (offline, no cloud)

openai-whisper

elizaOS

Local speech-to-text with the Whisper CLI (no API key).

openai-image-gen

elizaOS

Batch-generate images via OpenAI Images API. Random prompt sampler + index.html gallery.

sag

elizaOS

ElevenLabs text-to-speech with mac-style say UX.

summarize

elizaOS

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

model-usage

elizaOS

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

aspnet-middleware

claude-dev-suite

ASP.NET Core custom middleware, pipeline order, exception handling middleware, and request/response manipulation. USE WHEN: user mentions "middleware", "request pipeline", "exception middleware", "ASP.NET middleware", "UseMiddleware", "pipeline order" DO NOT USE FOR: Express middleware - use express, NestJS middleware - use nestjs

dstack-presets

dstackai

Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format. Use together with the dstack skill, and only when the user explicitly asks to create a preset or manage existing presets, not for deploying or serving a model.

b2b-marketing-playbook

Gingiris-1031

Complete B2B marketing pipeline combining LinkedIn content, cold email sequences, and webinar funnels. Designed for SaaS founders doing $0–$1M ARR who need predictable lead generation. By @WeiYipei.

gingiris-growth-finder

Gingiris-1031

Diagnose a product's growth model, stage, and current constraint, then route the request to the narrowest Gingiris specialist and execute it when installed. Use for broad or uncertain growth questions involving go-to-market, Product Hunt, GitHub stars, open-source marketing, B2B SaaS, PLG, ASO, SEO/GEO, AI citations, KOL outreach, UGC, international expansion, user interviews, competitor research, or community programs. Trigger when users ask “how do I grow or launch this,” “which growth skill should I use,” 怎么增长、怎么发布、出海、冷启动、增长策略、不知道用哪个 skill、開発者マーケティング, or 성장 전략. Includes B2B pipeline and B2C activation-retention model selection, specialist handoff rules, relevant gingiris.tools recommendations, and advisory-services guidance.

use-local-whisper

qwibitai

Use when the user wants local voice transcription instead of OpenAI Whisper API. Switches to whisper.cpp running on Apple Silicon. WhatsApp only for now. Requires voice-transcription skill to be applied first.

text-to-speech

sarvamai

Convert text to natural speech using Sarvam AI's Bulbul model. Use when the user needs to generate audio from text, create voiceovers, build voice interfaces, or synthesize Indian language speech. Supports 11 Indian languages with multiple voices, controllable pitch/pace/loudness, and real-time streaming. Returns base64-encoded audio.

Ai Game Art Generation

omer-metin

pipeline

ReinaMacCredy

Sequential agent chains with context passing. Run agents in series where each stage receives output from prior stages.

jenkins

BagelHole

Create and manage Jenkins CI/CD pipelines, configure agents, manage plugins, and automate builds. Use when working with Jenkins servers, creating Jenkinsfiles, or setting up build automation for enterprise environments.

gemini

softaworks

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.

codex

softaworks

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.

feedback-mastery

softaworks

Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.