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: pypi

Directorio en inglés

The blessed :octocat: GitHub Action, for publishing your :package: distribution files to PyPI, the tokenless way: https://github.com/marketplace/actions/pypi-publish

1.2K
Stars
83/100
Confianza
Categoría: automationAuditoría

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.

34K
Stars
78/100
Confianza
Categoría: design-creativeAuditoría

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

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

A powerful Python API, CLI, and set of Agent Skills for CX Agent Studio to automate, evaluate, and scale your agents with ease.

78
Stars
65/100
Confianza
Categoría: utilityAuditoría

A portable skill for offline, local-only context migration across coding agent sessions.

35
Stars
68/100
Confianza
Categoría: coding-agentsAuditoría

Lightweight evaluation harness for agent skills to track success rates across multiple agent runtimes.

36
Stars
69/100
Confianza
Categoría: coding-agentsAuditoría

Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.

22
Stars
65/100
Confianza
Categoría: utilityAuditoría

end-to-end data engineering project to get insights from PyPi using python, duckdb, MotherDuck

236
Stars
65/100
Confianza
Categoría: data-analysisAuditoría

The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release) over a catalogue of curated packs: skills, subagents, and hooks, each installed in one line. It's npm for your coding agent. Any agent, any stack — Claude Code, Codex, Cursor, Copilot, Gemini, Kiro.

12
Stars
65/100
Confianza
Categoría: utilityAuditoría

Turn video courses into evidence-grounded reusable skills for Claude Code and Codex.

11
Stars
66/100
Confianza
Categoría: utilityAuditoría

A reusable agent decision workflow that forces AI agents to debate financial trades and settles via code, installable across multiple agent runtimes.

10
Stars
68/100
Confianza
Categoría: finance-quantAuditoría