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: thermal-fluids

Englisches Verzeichnis

Practical Claude Code runbooks for clean, resource-efficient open-source development - from planning and implementation to debugging, review, release, and deployment

10
Stars
62/100
Trust
Kategorie: utilityAudit

A domain-rigor skill for thermal-fluid mechanical engineering research, packaging agent workflows for Codex and Claude Code to enforce physical validity in analysis, writing, and data interpretation.

14
Stars
66/100
Trust
Kategorie: researchAudit

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

282
Stars
63/100
Trust
Kategorie: coding-agentsAudit

Design and review production-grade low-latency VisionCamera v5 pipelines. Use for real-time GPU, ML, CV, Skia or WebGPU overlays, Nitro frame plugins, zero-copy interop, frame budgets, and latency profiling. Use the general react-native-vision-camera skill for setup, capture, controls, basic frame outputs, or v4 migration.

161
Stars
61/100
Trust
Kategorie: design-creativeAudit

One stop to manage all git repository. ⭐️ Star to support our work!

451
Stars
56/100
Trust
Kategorie: coding-agentsAudit