data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Implements high-performance semantic vector search and intelligent document retrieval for RAG systems using AgentDB.
Provides comprehensive technical guidance for configuring semantic document search and indexing via the Model Context Protocol.
Generates professional, executive-ready Plotly visualizations using Treasure Data's standardized branding and strict formatting requirements.
Enables high-performance bidirectional navigation and transformation of complex nested data structures using compiled path expressions and constraint logic.
Implements Fixed-Parameter Tractable (FPT) algorithms using sheaves on tree decompositions for compositional data structures.
Applies category theory and sheaves on tree decompositions to solve complex combinatorial problems with Fixed-Parameter Tractable (FPT) algorithms.
Unifies mathematical topos-theoretic resources, category theory tools, and cognitive modeling frameworks across the filesystem.
Provides unified access to topos-theoretic resources, mathematical music theory, and categorical database structures for advanced AI reasoning.
Enables semantic code navigation and intelligent completions for Clojure using vector space embeddings.
Extracts LaTeX and structural ACSet data from mathematical documents using Mathpix and balanced ternary checkpoints.
Extracts LaTeX and mathematical structures from images and PDFs using high-precision OCR and balanced ternary checkpoints.
Integrates Guerino Mazzola's Topos of Music framework to enable categorical music analysis and mathematical composition.
Integrates Guerino Mazzola's mathematical music theory and the Topos of Music framework into Claude for advanced computational composition.
Validates triadic color systems using predictive loops and active inference to ensure compositional coherence.
Reduces 3-SAT problems to colored subgraph isomorphism using non-backtracking geodesics and Möbius filtering.
Reduces 3-SAT problems to colored subgraph isomorphisms using non-backtracking geodesics and Möbius filtering.
Reduces complex 3-SAT problems to colored subgraph isomorphisms using topological geodesics and Möbius filtering.
Reduces complex 3-SAT problems to colored subgraph isomorphism using non-backtracking geodesics and Möbius filtering.
Initializes qualitative research environments with structured epistemic foundations and standardized folder hierarchies.
Initializes qualitative research projects by establishing philosophical foundations through Socratic dialogue and creating structured epistemic infrastructure.
Replaces temporal succession with deterministic seed-chaining for observer-independent state derivation.
Implements deterministic seed-chaining and color derivations to replace temporal sequencing with verifiable mathematical logic.
Navigates complex state spaces and possible worlds using Badiou-inspired ontology and triangle inequality constraints.
Navigates complex mathematical and ontological possibility spaces using Badiou-inspired event logic and Kripke semantics.
Conducts systematic qualitative analysis of sociological interview data using grounded theory and theory-informed frameworks.
Performs advanced Möbius inversion on partially ordered sets and lattices to solve complex combinatorial, topological, and graph-theoretic problems.
Facilitates structured generation and composition of complex multi-input operations using colored operads and category theory principles.
Implements Darwin Gödel Machine patterns to create self-improving AI agents capable of open-ended evolution and lifelong learning.
Implements sheaf-theoretic neural network coordination for distributed consensus and complex graph-based multi-agent systems.
Implements the directed Yoneda lemma as a principle for directed path induction within synthetic infinity-categories.
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