Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: pypi

Annuaire en anglais

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
Confiance
Catégorie: automationAudit

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
Confiance
Catégorie: design-creativeAudit

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
Confiance
Catégorie: data-analysisAudit

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
Confiance
Catégorie: utilityAudit

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

35
Stars
68/100
Confiance
Catégorie: coding-agentsAudit

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

36
Stars
69/100
Confiance
Catégorie: coding-agentsAudit

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

22
Stars
65/100
Confiance
Catégorie: utilityAudit

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

236
Stars
65/100
Confiance
Catégorie: data-analysisAudit

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
Confiance
Catégorie: utilityAudit

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

11
Stars
66/100
Confiance
Catégorie: utilityAudit

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
Confiance
Catégorie: finance-quantAudit