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: degree

Annuaire en anglais

Minimal Claude Code workspace for tracking jobs + sending first-DM LinkedIn outreach via the Claude in Chrome extension. Tracker CRUD, job discovery, and 1st-degree-only outreach. Reply handling, follow-ups, and applications stay manual.

180
Stars
68/100
Confiance
Catégorie: growth-automationAudit

[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

344
Stars
69/100
Confiance
Catégorie: ml-automationAudit

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

267
Stars
64/100
Confiance
Catégorie: robotics-iotAudit

Orchestrates multi-agent hierarchical swarms using a divide-and-conquer architecture for complex, multi-system, or orthogonal engineering initiatives (e.g., concurrent backend, frontend, database, QA). Manages hierarchical Lead Agents and Specialists, disjoint work allocations, and strict parent-child communication. Activate whenever the user mentions 'swarm', requests multi-agent team coordination, or needs context isolation across multiple technical domains.

16
Stars
56/100
Confiance
Catégorie: researchAudit

Universal multi-agent orchestration workflow based on the Double Diamond framework (Inception -> Discovery -> Definition -> Development -> Delivery). Coordinates parallel subagents with context isolation to separate problem-space research from solution-space implementation. Activate for complex, high-ambiguity initiatives across software engineering, in-depth research, long-form writing, legal analysis, or product strategy requiring structured human alignment gates.

16
Stars
61/100
Confiance
Catégorie: researchAudit