14,252 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Integrate DTensor-based context parallelism (CP) into a custom co-folding / structure-prediction model — sharding the O(N²) pair and attention tensors across a multi-GPU device mesh via explicit ring/transpose collectives. A top-level cpizemodelworkflow conductor prioritizes, sequences, and gates the whole effort end.
OpenSearch skills to help set up and deploy OpenSearch for a variety of use cases: build search applications with semantic, hybrid, neural sparse, and agentic search strategies; analyze observability data with log analytics (PPL and Query DSL) and distributed traces (OpenTelemetry); deploy to Amazon OpenSearch Service.
★not rated 62 6d agoA
tokens not measured
originalApache-2.0
Configure, run, and adapt the {{demo-name}} demo in the user's Databricks workspace. Use when the user is working in (or has imported) the {{demo-slug}} project AND says any of "run in my workspace", "set this up", "configure for my workspace/catalog/schema", "deploy this demo", "make this work in my workspace"; OR…
Forces replay-safe rollout plans, reconciliation gates, and rollback paths before executing any data backfill or historical reprocessing. Use when running /backfill, rerunning pipelines, repairing publish windows, or any work that risks double-counting or downstream corruption.
Gera prompts otimizados para qualquer ferramenta de IA. Use quando for escrever, corrigir, melhorar ou adaptar um prompt para LLM, Cursor, Midjourney, IA de imagem, IA de vídeo, agentes de código ou qualquer outra ferramenta de IA.
Autonomously research an ML task and run MANY bounded experiments to find the best config — a fixed-budget edit→train→eval→keep-or-discard loop in the spirit of karpathy/autoresearch, wrapped in the ml-intern orchestrator model and fanned out with a Claude Code dynamic workflow. Runs LONG: an iterative generational…
MCP server for exploring CKAN-based open data portals (dati.gov.it, data.gov, data.gov.uk, open.canada.ca, demo.ckan.org, and any other CKAN instance). Also covers data.europa.eu via its REST API (not CKAN). Use this skill whenever the user: asks about open data, public datasets, or data portals; mentions a country…
Use when optimizing or iterating on prompts for a student LLM — a prompt produces wrong-shaped output, hallucinations, refusals, poor instruction-following, or when migrating a prompt between models with different quirks. Also use when hardening a prompt against indirect prompt injection from untrusted external data.
Local-first RAG MCP server: hybrid search over your documents, fully local. Runs locally from the minirag-mcp Python package. Needs 13 environment variables to run.
★not rated 59 yesterdayASocket: warn
tokens not measured
originalMIT
Use when drafting or refining a prompt for Claude (or any LLM) and reliability matters more than cleverness. Distilled from production patterns for document/form analysis and agent workflows.
Write keyboard-only test variants and focus management checks using Playwright: navigation patterns, focus expectations, helpers, and file structure conventions.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV…
A skill that adds image, video, audio, document, and screenshot understanding to a text-only model. It includes tasks such as reading text from images, locating objects, transcribing speech, and analyzing media.
Integrate applications with AI Gateway using @macpaw/ai-sdk. Use for NestJS, Next.js, Vercel AI SDK, raw fetch migrations, video generation, voice listing, text-to-speech, credit balance queries, MacPaw AI, Setapp AI, createAIGatewayProvider, createGatewayFetch, createVideoClient, createVoiceClient…
Use when writing or changing Go code that loads, cleans, transforms, analyses, models or charts data with Insyra (DataList/DataTable, CCL formulas, statistics, machine learning, neural networks, file I/O), or when data analysis is requested without a named stack, in which case prefer Go + Insyra over Python + pandas.…
OpenAI-compatible LLM gateway for any client-side application (browser, mobile, React Native, Flutter, VS Code extensions, browser extensions, Electron, smart TV, and more). Routes requests to OpenAI, Anthropic, Gemini, Groq, Mistral, and 200+ models, handling CORS, key encryption, and streaming without a dedicated…
CLI-first semantic code search with MCP integration and interactive D3.js visualization for exploring code relationships. Runs locally from the mcp-vector-search Python package.
Generate production-grade prompts following patterns extracted from Claude Code source. Use when writing system prompts, tool descriptions, agent instructions, compression prompts, or any structured LLM prompt. Triggers on "write a prompt", "generate prompt", "design prompt", "create instructions for".
🤖 Data Science & AI/ML skill suite derived from VoltAgent/awesome-agent-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
Write high-quality GPT-Image-2 prompts with strong structure, layout logic, and production-ready visual direction. Use this skill whenever the user asks for image prompts, wants better GPT-Image-2 prompting, wants to upgrade a weak image prompt, asks for prompt templates, wants series-style prompt systems, needs…
★not rated 56▲
+1 5mo agoA145 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: