Packs
5 packs@moonklabs
Dev Workflow
개발자 워크플로 — Git worktree/서브모듈 통합 관리, diff·플랜 HTML 해설서 생성 4종 스킬 번들.
4 skills · pack
curated
Quarkus Release Pipeline
Install this pack to run build, static analysis, security scan, and diff review before a Quarkus release.
3 skills · pack
@adobe
Edge Delivery Services Content Ops
Content operations skills for AEM Edge Delivery Services: page auditing, SEO optimization, AI search (GEO), WCAG accessibility, bulk metadata, structured data, sitemap validation, and content diffing
12 skills · pack
@adobe
Adobe For Creativity
Brings together Adobe Creative Cloud tools for images, vectors, design, and video. Edit multiple assets at once, adapt for different platforms, and complete multi-step creative workflows for polished results.
7 skills · pack
@trailofbits
Trailmark
Builds multi-language source code graphs for security analysis: call graphs, attack surface mapping, blast radius, taint propagation, complexity hotspots, and entry point enumeration. Generates Mermaid diagrams (call graphs, class hierarchies, dependency maps, heatmaps). Compares code graph snapshots for structural diff and evolution analysis. Runs graph-informed mutation testing triage (genotoxic
10 skills · pack
Results for “diff”
11 skillspennylane
Train quantum circuits like neural networks with automatic differentiation, device-independent programming, and integration with PyTorch or JAX.
30.2k · bundle
earth2studio-create-diagnostic
Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics.
2.2k · bundle
pennylane
Train quantum circuits with automatic differentiation and build hybrid quantum-classical models using PennyLane, including VQE, QAOA, and integration with PyTorch, JAX, and TensorFlow.
3 · bundle
nv-generate-mr-brain-finetune
Finetunes the NV-Generate-CTMR MR-brain diffusion UNet from user-supplied NIfTI training volumes using a wrapper that stages configs and delegates to upstream scripts.
2.2k · bundle
More results
ai-ethics
Guides the implementation of ethical AI principles, including fairness auditing, bias mitigation, explainability, accountability, and privacy protection in machine learning systems.
1
scvi-tools
Provides deep generative models for single-cell omics analysis, including probabilistic batch correction, transfer learning, differential expression, and multi-modal integration.
30.2k · bundle
03-performance
Optimizes Dify workflows and plugins by restructuring graphs, reducing LLM token usage, tuning worker pools, and improving parallel processing.
34 · bundle
dior
Quantifies how sensitive a language model benchmark's reliability and ranking stability are to specific design choices, such as the selection of scenarios, subscenarios, examples, and few-shot prompts. Use when the user has predictions and gold and needs to compute DIoR.
3
tpr-fpr
Evaluates speaker verification models by computing true positive rate at fixed false positive rate thresholds, probing embedding space separation of same-speaker versus different-speaker pairs.
3
ml-training-recipes
Provides battle-tested PyTorch training recipes for LLMs, vision, diffusion, and biomedical domains, covering training loops, optimizer selection, LR scheduling, mixed precision, and debugging.
10.4k · bundle
epsilon
Evaluates the correlation between a zero-cost NAS metric (epsilon) and actual training accuracy across different neural architecture search spaces, testing the metric's ability to rank architectures without training. It probes whether output dispersion from constant weight initializations can serve as a reliable.
3