Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: competition

Englisches Verzeichnis

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

1.8K
Stars
72/100
Trust
Kategorie: ml-automationAudit

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

1.8K
Stars
68/100
Trust
Kategorie: rag-knowledgeAudit

Grab your football API data for FIFA World Cup 2026 competition!

181
Stars
63/100
Trust
Kategorie: sports-analyticsAudit

Bittensor Subnet 11 — an open skill factory that uses distributed compute and RL to produce state-of-the-art skills for AI agents.

20
Stars
67/100
Trust
Kategorie: utilityAudit

iNaturalist competition details

812
Stars
63/100
Trust
Kategorie: robotics-iotAudit

Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

172
Stars
63/100
Trust
Kategorie: robotics-iotAudit

The Keyword Volume Tool uses the Google Adwords API Targeting Ideas Service to return the search volume and competition of a massive list of keywords. The Keyword Expansion Tool uses the Google Adwords API Targeting Ideas Service to expand an input keyword into up to 500 related keywords with search volume.

166
Stars
57/100
Trust
Kategorie: growth-marketingAudit

Build evidence-backed SEO keyword insights and strategy using SandBase-managed search, keyword, site-analysis, and SERP capabilities. Use when asked to discover or prioritize keywords, assess search demand or ranking feasibility, map intent and topics, find competitor gaps, plan organic-search landing pages or content, or analyze a website's SEO opportunities.

31
Stars
67/100
Trust
Kategorie: researchAudit

Implemented the Avellaneda-Stoikov market-making strategy in an automated trading algorithm. Completed as part of the Optiver Ready Trader Go competition.

100
Stars
62/100
Trust
Kategorie: financeAudit