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: starcraft-ii

Annuaire en anglais

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

20K
Stars
86/100
Confiance
Catégorie: ml-automationAudit

II-Agent: a new open-source framework to build and deploy intelligent agents

3.3K
Stars
76/100
Confiance
Catégorie: agent-frameworksAudit

Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds", "case summary", or "patient presentation".

90K
Stars
80/100
Confiance
Catégorie: design-creativeAudit

StarCraft II Learning Environment

8.3K
Stars
70/100
Confiance
Catégorie: ml-automationAudit

Claude Code skill plugin for cleaning up and bringing Lean 4 code to mathlib standards.

27
Stars
66/100
Confiance
Catégorie: coding-agentsAudit

Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.

282
Stars
63/100
Confiance
Catégorie: coding-agentsAudit

Cloud-native SaaS architecture methodology extending Twelve-Factor with three additional factors (API First, Telemetry, Security). Use when planning SaaS tools, product software architecture, microservices design, PRPs/PRDs, or cloud-native application development; when the user says "fifteen factor", "12 factor", "SaaS architecture", "cloud-native design", "application architecture", "microservices best practices"; or when in a planning/architecture session. Do NOT use for greenfield monolith design without cloud-native constraints, internal tooling that will never ship as a service, or local-only scripts.

83
Stars
66/100
Confiance
Catégorie: securityAudit

Create new presentation decks as native editable PPTX files with consulting-quality design. Use when the user wants to build a new slide deck, presentation, or pitch deck from a brief or topic. For editing existing .pptx files, use the pptx skill instead.

55
Stars
57/100
Confiance
Catégorie: design-creativeAudit

Use quando o usuário quer quebrar ou decompor a especificação em tarefas, preencher ou atualizar a seção `14. Tarefas` de `spec.md`, ordenar dependências, planejar fatias verticais ou preparar a execução. Use também quando uma transição automática pedir planejamento, replanejamento ou retomada após RED. Use somente para editar o backlog dentro da fonte única; não crie tasks.md, não escreva código nem marque trabalho como concluído.

60
Stars
56/100
Confiance
Catégorie: researchAudit

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.

165
Stars
59/100
Confiance
Catégorie: researchAudit

LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environment.

156
Stars
63/100
Confiance
Catégorie: agent-frameworksAudit

Create a new SigNoz dashboard from a natural-language intent — import a curated template (PostgreSQL, Redis, JVM, k8s, hostmetrics, APM, LLM, etc.) when one fits, or build a custom dashboard from scratch with metric / trace / log panels. Make sure to use this skill whenever the user says "create a dashboard for…", "set up monitoring for…", "build me a dashboard…", "I need observability for…", "import a dashboard template", or asks to track / visualize a service, database, cluster, or AI/LLM platform — even if they don't explicitly say "dashboard". Also use it when someone wants to "monitor", "watch", or "see metrics for" a technology and the natural answer is a dashboard.

15
Stars
57/100
Confiance
Catégorie: design-creativeAudit