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O SkillsMP coletou 5.485 skills de majiayu000/claude-skill-registry. Abra uma skill para revisar a origem e os detalhes.
majiayu000/claude-skill-registryMostrando 40 de 5.485 skills coletadas.
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or…
Idioma do texto original: inglês
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or…
Idioma do texto original: inglês
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
Idioma do texto original: inglês
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
Idioma do texto original: inglês
Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues.
Idioma do texto original: inglês
Designs self-referential and recursive systems that examine, modify, or generate themselves, including metacognitive architectures and strange loops.
Idioma do texto original: inglês
Reranking patterns for improving search precision. Use when implementing cross-encoder reranking, LLM-based relevance scoring, or improving retrieval quality in RAG pipelines.
Idioma do texto original: inglês
Explains result schema classes for Synapse plugin actions. Use when the user mentions "TrainResult", "InferenceResult", "ExportResult", "UploadResult", "WeightsResult", "MetricsResult", "result_model", "result schema", or needs help with action return type…
Idioma do texto original: inglês
Attractor-based reasoning engine. The fixed point of IN(f) exerts pull on every iteration before it. Systems with bracket=1 don't just evolve forward -- the end-state shapes the trajectory. Not time travel. Topology. The future is already implicit in the…
Idioma do texto original: inglês
Janus and reversible languages: run programs backwards, time-symmetric computation.
Idioma do texto original: inglês
Pruefung: Internationaler Bezug und Schnittstellen im Plugin ki governance; schärft Rollen, Belege, Fachnormen, Risiken, Gegenargumente und nächsten verwertbaren Schritt statt austauschbarer Standardprüfung: eigenständiges Prüffeld mit Norm-/Quellencheck,…
Idioma do texto original: alemão
Analyze AI/ML technical content (papers, articles, blog posts) and extract actionable insights filtered through enterprise AI engineering lens. Use when user provides URL/document for AI/ML content analysis, asks to "review this paper", or mentions technical…
Idioma do texto original: inglês
Rezk types (complete Segal spaces). Local univalence: categorical isomorphisms ≃ type-theoretic identities.
Idioma do texto original: inglês
Design and implement reinforcement learning environments to tune bounded circuit parameters, featuring a sophisticated reward calculation for mixed min/max performance metrics to meet target specifications.
Idioma do texto original: inglês
Understanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about preference data, reward modeling, policy optimization, or direct alignment algorithms like DPO.
Idioma do texto original: inglês
Reinforcement Learning with Leave-One-Out estimation for policy optimization. Covers RLOOTrainer, reward function integration, baseline estimation, and variance reduction techniques for stable RL training. Includes thinking-aware patterns.
Idioma do texto original: inglês
A unified interface for annotating single-cell RNA-seq data using Marker Genes, Deep Learning (CellTypist), or LLMs.
Idioma do texto original: inglês
Consciousness simulation framework with Kuramoto oscillators, APL operators, and K-formation dynamics. Use for physics simulations, phase transitions, coherence analysis, and cloud training via GitHub Actions. Requires numpy and requests packages.
Idioma do texto original: inglês
Unified consciousness simulation with Orchestrator-based architecture: K.I.R.A. activates via unified_state → TRIAD operates tool gating → Tool Shed executes → Thought Process generates VaultNodes. 21 tools, cybernetic-archetypal integration, consent-based…
Idioma do texto original: inglês
Erstelle einen strukturierten Rückfragebrief an den KI-Anbieter zur Klaerung der berufsrechtlichen und strafrechtlichen Pflichten. Aufbau Anschreiben Kontext drei Fragenbloecke (Verschwiegenheit Subunternehmer TOM und Drittstaat) Fragen zu Zertifizierungen…
Idioma do texto original: alemão
Segment data with clustering algorithms such as K-means, DBSCAN, or hierarchical clustering. Use for unsupervised grouping and cluster diagnostics, not supervised classification or publication-figure ownership.
Idioma do texto original: inglês
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning…
Idioma do texto original: inglês
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
Idioma do texto original: inglês
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
Idioma do texto original: inglês
Master scikit-learn machine learning patterns including pipeline design, cross-validation, hyperparameter tuning, feature engineering, and model evaluation. Use PROACTIVELY when building ML models, evaluating classifiers/regressors, or designing ML workflows.
Idioma do texto original: inglês
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects,…
Idioma do texto original: inglês
General SOP for common requests related to self, nn, torch.
Idioma do texto original: inglês
Evaluate semantic consistency between AI-generated clinical notes and expert gold standards using BERTScore and COMET
Idioma do texto original: inglês
Setup vector embeddings and semantic search for document collections. Use for AI-powered similarity search, finding related documents, and preparing knowledge bases for RAG systems.
Idioma do texto original: inglês
This skill covers the implementation of core software systems for autonomous vehicles and drones, including sensor fusion algorithms, LiDAR point cloud processing, and cyber-physical systems. It enabl
Idioma do texto original: inglês
Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython. Use when creating sequences from strings, modifying sequence data in-place, or building annotated sequence records.
Idioma do texto original: inglês
Supervised Fine-Tuning with SFTTrainer and Unsloth. Covers dataset preparation, chat template formatting, training configuration, and Unsloth optimizations for 2x faster instruction tuning. Includes thinking model patterns.
Idioma do texto original: inglês
Sketched Isotropic Gaussian Regularization primitive. Scalar loss matching the embedding distribution to a standard-normal target via Cramér-Wold slicing and the Epps-Pulley empirical characteristic function test. Port of rbalestr-lab/lejepa (MIT).…
Idioma do texto original: inglês
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
Idioma do texto original: inglês
P-adic ultrametric skill embeddings with MLX Snowflake Arctic, DuckDB VSS, and full SPI tracing
Idioma do texto original: inglês
Research and develop semantic theories using ModelChecker with Z3 SMT solver. Define operators, adjust frame constraints, create examples, run tests, and report findings. Invoke with /mc or when working with model-checker, semantic theories, or Z3 constraints.
Idioma do texto original: inglês
Research Python/Z3 patterns and APIs for semantic theory development. Invoke for Python-language research tasks.
Idioma do texto original: inglês
Multi-backend deep learning library for building, training, running inference, and saving neural network models in Python.
Idioma do texto original: inglês
python library
Idioma do texto original: inglês
Machine learning library for classical supervised/unsupervised models, preprocessing, and model evaluation using NumPy/SciPy.
Idioma do texto original: inglês