MLOps

Operacions d’aprenentatge automàtic

Skills: 481–504 de 2096
danielmiessler

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.

Àmbit acadèmic 19,6 k fa 8 mesos
elizaOS

sherpa-onnx-tts

elizaOS

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

Git i control de versions 19,6 k fa 8 mesos
elizaOS

openai-whisper

elizaOS

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

Desenvolupament d’API 19,6 k fa 8 mesos
elizaOS

openai-image-gen

elizaOS

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

Docker 19,6 k fa 8 mesos
elizaOS

sag

elizaOS

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

Agents 19,6 k fa 8 mesos
elizaOS

summarize

elizaOS

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

Processament de dades 19,6 k fa 8 mesos
elizaOS

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.

Eines de línia d’ordres 19,6 k fa 8 mesos
claude-dev-suite

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

Autenticació 45 fa 8 mesos
dstackai

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.

Generació de codi 2,3 k fa 2 mesos
Gingiris-1031

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.

CI/CD 87 fa 3 mesos
Gingiris-1031

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.

MLOps 87 fa 2 mesos
qwibitai

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.

Eines de línia d’ordres 31 k fa 7 mesos
sarvamai

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.

Processament de dades 73 fa 8 mesos
omer-metin

Ai Game Art Generation

omer-metin

Operacions amb fitxers 181 fa 9 mesos
ReinaMacCredy

pipeline

ReinaMacCredy

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

Agents 235 fa 8 mesos
sopaco

deepwiki-rs

sopaco

"AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation. Use when Claude needs to analyze source code, understand software architecture, generate technical specs, or create professional documentation from any programming language."

CI/CD 3,1 k fa 12 mesos
BagelHole

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.

CI/CD 1,2 k fa 9 mesos
softaworks

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.

Eines de línia d’ordres 2,6 k fa 9 mesos
softaworks

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.

Eines de línia d’ordres 2,6 k fa 9 mesos
softaworks

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.

Revisió de codi 2,6 k fa 9 mesos
patchy631

TRL Training on Hugging Face Jobs

patchy631

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Automatització 38,4 k fa 9 mesos
patchy631

Overview

patchy631

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Eines de línia d’ordres 38,4 k fa 9 mesos
jkitchin

fairchem

jkitchin

Expert guidance for Meta's FAIRChem library - machine learning methods for materials science and quantum chemistry using pretrained UMA models with ASE integration for fast, accurate predictions

Automatització 41 fa 11 mesos
patchy631

Trackio - Experiment Tracking for ML Training

patchy631

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Processament de dades 38,4 k fa 9 mesos