Route AI/ML tasks to correct Yzmir pack - frameworks, training, RL, LLMs, architectures, production
Quellsprache: Englisch
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SkillsMP hat 5.485 Skills aus majiayu000/claude-skill-registry gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
majiayu000/claude-skill-registryEs werden 40 von 5.485 gesammelten Skills angezeigt.
Route AI/ML tasks to correct Yzmir pack - frameworks, training, RL, LLMs, architectures, production
Quellsprache: Englisch
Routes to appropriate deep-RL skills based on problem type and algorithm family
Quellsprache: Englisch
Use when building networks that grow, prune, or adapt topology during training. Routes to continual learning, gradient isolation, modular composition, and lifecycle orchestration skills.
Quellsprache: Englisch
Router skill directing to deployment, optimization, MLOps, and monitoring guides.
Quellsprache: Englisch
The architecture selection router for CNNs, Transformers, RNNs, GANs, GNNs by data modality and constraints
Quellsprache: Englisch
Routes to appropriate PyTorch specialist skill based on symptoms and problem type
Quellsprache: Englisch
Router to training optimization skills based on symptoms and training problems
Quellsprache: Englisch
Deploy, manage, and optimize vector databases for AI applications. Covers Qdrant, Weaviate, pgvector, and Pinecone — collection management, indexing strategies, backup, and performance tuning for production RAG and semantic search workloads.
Quellsprache: Englisch
Design vector database ingestion and retrieval pipelines (points + payloads, filtered similarity search, multi-stage hybrid retrieval, index maintenance). Use when building RAG/vector search flows or debugging retrieval quality; triggers: vector database,…
Quellsprache: Englisch
Vector database selection, embedding storage, approximate nearest neighbor (ANN) algorithms, and vector search optimization. Use when choosing vector stores, designing semantic search, or optimizing similarity search performance.
Quellsprache: Englisch
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
Quellsprache: Englisch
SQLiteプロジェクト向けのベクトル検索代替戦略スキル。 SQLite VSS、外部ベクトルDB、RAGパイプラインの実装を提供します。 Anchors: - The Pragmatic Programmer(Andrew Hunt)/ 適用: 実践的ソリューション選定 / 目的: 適材適所の技術選択 - Designing Data-Intensive Applications(Martin Kleppmann)/ 適用: データシステム設計 / 目的: スケーラブルなアーキテクチャ - Building…
Quellsprache: Japanisch
Implementing semantic search and similarity search using vector embeddings and vector databases.
Quellsprache: Englisch
Implement vector search for knowledge retrieval. Use when adding RAG, semantic search, knowledge base features, or context building for the agent.
Quellsprache: Englisch
Transient vector store service for fast similarity search (FAISS)
Quellsprache: Englisch
Vector store schema protection and migration management
Quellsprache: Englisch
Verify a CVlization training pipeline example is properly structured, can build, trains successfully, and logs appropriate metrics. Use when validating example implementations or debugging training issues.
Quellsprache: Englisch
Vector-powered CLI for semantic file search with a Claude/Codex skill
Quellsprache: Englisch
Guide for using vision utilities in speedy_utils, including fast GPU image loading, memory-mapped datasets, and notebook visualization.
Quellsprache: Englisch
Shared skill entrypoint for Claude Code. See the canonical skill file at: wandb-plot/SKILL.md
Quellsprache: Englisch
Ward Identity Checker
Quellsprache: Englisch
Transform thousands of wedding photos and hours of footage into an immersive 3D Gaussian Splatting experience with theatre mode replay, face-clustered guest roster, and AI-curated best photos per person. Expert in 3DGS pipelines, face clustering, aesthetic…
Quellsprache: Englisch
Simulate whole-brain emulation core processes.
Quellsprache: Englisch
Kaltstart und Routing im Plugin produktrecht: führt vom ersten Satz oder Dokument in den passenden Arbeitsweg, erkennt Rolle, Ziel, Risiko und Anschluss-Skills.
Explainability (XAI) audit for products containing AI components. Five-stage tier-scaled check: risk classification, stakeholder×question matrix, fidelity audit, system card, recourse path. Honest about what was validated functionally vs what needs user…
Quellsprache: Englisch
Coecke's ZX-calculus for quantum circuit reasoning via string diagrams with Z-spiders (green) and X-spiders (red)
Quellsprache: Englisch
Perform GO and KEGG functional enrichment using HOMER from genomic regions (BED/narrowPeak/broadPeak) or gene lists, and produce R-based barplot/dotplot visualizations. Use this skill when you want to perform GO and KEGG functional enrichment using HOMER from…
Quellsprache: Englisch
This skill should be used when users need to perform known motif enrichment analysis on ChIP-seq, ATAC-seq, or other genomic peak files using HOMER (Hypergeometric Optimization of Motif EnRichment). It identifies enrichment of known transcription factor…
Quellsprache: Englisch
This skill should be used when users need to infer chromatin states from histone modification ChIP-seq data using chromHMM. It provides workflows for chromatin state segmentation, model training, state annotation.
Quellsprache: Englisch
Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence documentation with…
Quellsprache: Englisch
Analyze and fix production errors from Sentry crash reports. Use when investigating AppHang, ANR, crashes, or production errors. Includes complete workflow from JSON analysis to bug fix implementation with evidence-based methodology. Triggers on sentry,…
Quellsprache: Englisch
Identify friction points, bottlenecks, bugs, and technical debt. Use for audits, debugging sessions, when something feels wrong, or before major work to surface hidden issues. This is the second system in the 5-system framework.
Quellsprache: Englisch
[21] UNDERSTAND. Deep research workflow for this project using 150% scope (100% core + 50% boundary), evidence-based reasoning, and structured investigation notes. Use when the task requires investigation, root-cause analysis, or mapping unknown areas. Always…
Quellsprache: Englisch
Perform peak calling for ChIP-seq or ATAC-seq data using MACS2, with intelligent parameter detection from user feedback. Use it when you want to call peaks for ChIP-seq data or ATAC-seq data.
Quellsprache: Englisch
[30] ANALYZE. Understand how changes impact the system — what's the core, what's affected, what depends on what. Use when planning changes, analyzing systems, debugging issues, or anytime you need to see the full picture of cause and effect. Triggers on…
Quellsprache: Englisch
[31] ANALYZE. Universal deep thinking methodology for any situation requiring quality reasoning. Use when solving problems, debugging, making decisions, analyzing code, planning, reviewing, or anytime you need thorough thinking instead of surface-level…
Quellsprache: Englisch
Trigger: /a. Never auto-trigger on think, scan, consider, or examine.
Quellsprache: Englisch
Toyota-style A3 problem solving with embedded priority hierarchy: Safety First, then Customer Value, then Shareholder Value. Structured thinking framework for manufacturing decisions, root cause analysis, and countermeasure development. USE WHEN user says…
Quellsprache: Englisch
Toyota-style A3 problem solving with embedded priority hierarchy: Safety First, then Customer Value, then Shareholder Value. Structured thinking framework for manufacturing decisions, root cause analysis, and countermeasure development. USE WHEN user says…
Quellsprache: Englisch
Triage AADS-ULoRA requests by capturing repository state, mapping impacted files and modules, and selecting the smallest safe validation surface before coding. Use when scope is unclear, when asked what to change or test first, or before implementation and…
Quellsprache: Englisch