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: workload-consolidation

Annuaire en anglais

Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs. https://katacontainers.io/

8.2K
Stars
85/100
Confiance
Catégorie: devopsAudit

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

6.7K
Stars
86/100
Confiance
Catégorie: ml-automationAudit

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
Confiance
Catégorie: agent-skillsAudit

Runtime Security Enforcement System. Workload hardening/sandboxing and implementing least-permissive policies made easy leveraging LSMs (LSM-BPF, AppArmor).

2.1K
Stars
85/100
Confiance
Catégorie: devopsAudit

Automatic memory consolidation for OpenClaw agents — like sleep for your AI. Powered by MyClaw.ai

553
Stars
71/100
Confiance
Catégorie: agent-frameworksAudit

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

464
Stars
66/100
Confiance
Catégorie: devopsAudit

10 Fable 5-native agent skills — Works with Claude Code, Cursor, Copilot

13
Stars
62/100
Confiance
Catégorie: utilityAudit

Collection of 17 focused AI agent skills for tasks like brainstorming, research, and planning, compatible with skills.sh and installable via agent runtimes.

25
Stars
70/100
Confiance
Catégorie: productivityAudit

SPD V1 Batch. Process large, user-supplied sets of legitimate product, software, startup, app, and AI-tool directory URLs across Windows, macOS, and Linux-capable environments through normalization, deduplication, execution sharding, verification-first queues, authorization-controlled form work, idempotent submission, recovery, and truthful throughput reporting. Use when coverage and operational throughput matter more than deep per-site quality analysis. Do not use for ranking manipulation, bulk link spam, invented data, CAPTCHA bypass, paid-link acquisition, forced reciprocal links, or routes prohibited by a site's terms.

483
Stars
70/100
Confiance
Catégorie: design-creativeAudit

Manage federated learning workload using cloud native technologies.

436
Stars
63/100
Confiance
Catégorie: devopsAudit

Scale down or delete unneeded workload after work hours based on conditions

199
Stars
59/100
Confiance
Catégorie: devopsAudit

Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.

33
Stars
64/100
Confiance
Catégorie: coding-agentsAudit