Directorio de skills

Descubre skills reutilizables para AI agents.

Busca skills reales de GitHub por tarea y revisa stars, confianza, auditoría, categoría y ruta de instalación antes de utilizarlos.

Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.

Resultados de búsqueda: foreign-keys

Directorio en inglés

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2K
Stars
85/100
Confianza
Categoría: agent-skillsAuditoría

A Claude Code skill that directs website creation like a film, with art direction locking, local asset generation, and an executable anti-slop linter gating every deployment.

1.0K
Stars
85/100
Confianza
Categoría: design-creativeAuditoría

Take a list of domains, crawl urls and scan for endpoints, secrets, api keys, file extensions, tokens and more

3.4K
Stars
80/100
Confianza
Categoría: web-automationAuditoría

A comprehensive collection of 30+ Claude Code skills for cold email and outbound sales, covering strategy, infrastructure, lead sourcing, and copywriting, with a guided kickoff flow and signal playbooks.

632
Stars
80/100
Confianza
Categoría: marketing-growthAuditoría

a digital safe with multiple keys, held by people you trust

1.4K
Stars
77/100
Confianza
Categoría: legal-complianceAuditoría

Real-time speech translation — macOS & Windows, free TTS, no server, your API keys only

1.2K
Stars
83/100
Confianza
Categoría: legal-complianceAuditoría

Agent skills for coding assistants to interact with Langfuse's LLM tracing, prompt management, and evaluation platform.

214
Stars
75/100
Confianza
Categoría: coding-agentsAuditoría

A curated set of agent skills for the Venice AI API, providing SKILL.md instructions for agent runtimes like Cursor, Claude, and Codex.

122
Stars
75/100
Confianza
Categoría: utilityAuditoría

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

34K
Stars
77/100
Confianza
Categoría: data-analysisAuditoría

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

34K
Stars
70/100
Confianza
Categoría: researchAuditoría