「structures」の検索結果

Structures insurance company financial analysis with combined ratio, reserve adequacy, and capital metrics. Use when analyzing insurance financials, evaluating combined ratios, or assessing reserve strength.

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Analyzes and reverse-engineers website designs directly from a target URL, extracting layout structures, design tokens (colors, typography, spacing), component hierarchies, visual assets, and responsive behaviors to enable full 1:1 duplication into modern code (Tailwind CSS v4, React/Next.js, HTML/CSS). / Mempelajari dan merekayasa balik desain situs web langsung dari URL target, mengekstrak struktur layout, design token (warna, tipografi, spacing), hierarki komponen, aset visual, dan perilaku responsif untuk duplikasi 1:1 penuh ke kode modern.

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Rhythmic analysis, meter classification, groove mechanics, and cross-cultural rhythmic systems. Covers simple and compound meter, asymmetric meters, polyrhythm, polymetric structures, metric modulation, swing and groove analysis, syncopation patterns, hemiola, additive vs. divisive rhythm, African timeline patterns, Indian tala, and Messiaen's non-retrogradable rhythms. Use when analyzing rhythmic structure, identifying meter, studying groove, or working with non-Western rhythmic systems.

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Grammar and syntactic structures across human languages -- word order typology (SVO, SOV, VSO, VOS, OVS, OSV), morphological systems (isolating, agglutinative, fusional, polysynthetic), agreement patterns (gender, number, case, person), phrase structure, clause embedding, and cross-linguistic universals. Covers constituent analysis, dependency vs. constituency grammars, grammatical relations (subject, object, oblique), ergativity vs. accusativity, tense-aspect-mood systems, and how grammar encodes meaning differently across language families. Use when analyzing sentence structure, comparing grammar systems, teaching grammatical concepts, or understanding why a learner makes transfer errors from their L1.

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Bias detection and mitigation, fairness metrics, privacy frameworks, consent models, transparency requirements, and accountability structures for data science practice. Covers algorithmic bias sources, disparate impact testing, differential privacy, GDPR principles, model cards, datasheets for datasets, responsible AI frameworks, and the organizational governance needed to make ethics actionable. Use when auditing models for bias, designing privacy-preserving systems, establishing governance processes, or evaluating the social impact of data-driven decisions.

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Ionic, covalent, and metallic bonding, Lewis structures, VSEPR theory, molecular geometry, polarity, and intermolecular forces. Covers octet rule and exceptions, formal charge, resonance, sigma/pi bonds, orbital hybridization, electronegativity-driven bond classification, VSEPR electron-domain and molecular geometries, dipole moments, and the four intermolecular force types (London dispersion, dipole-dipole, hydrogen bonding, ion-dipole). Use when predicting molecular shapes, bond properties, or physical behavior from molecular structure.

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Carbon chemistry, functional groups, IUPAC nomenclature, isomerism, reaction mechanisms (substitution, elimination, addition), polymers, and biochemistry basics. Covers hydrocarbon classes (alkanes, alkenes, alkynes, aromatics), common functional groups (alcohols, aldehydes, ketones, carboxylic acids, esters, amines, amides), stereochemistry, condensation and addition polymerization, and the four biomolecule classes (carbohydrates, lipids, proteins, nucleic acids). Use when analyzing organic structures, predicting reaction products, or connecting chemistry to biology.

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Silently restructures the user's natural-language prompt into the format the model CURRENTLY running this skill handles best, then answers. On activation it identifies which model family is executing it (Claude, GPT, Gemini, Llama, DeepSeek, Mistral, Qwen, Grok, Perplexity, Kimi, GLM, Command, Nova, or Phi) and loads that one model's official strategy — so the optimization always matches the model that actually runs it. Activate with /prompt-refine. Use when users want better answers without learning prompt engineering.

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Brutally honest code review in the style of Linus Torvalds, focusing on data structures, simplicity, and pragmatism. Use when you want critical, no-nonsense feedback that prioritizes engineering fundamentals over style preferences.

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CatColab Schemas - database schema modeling distinguishing entities (tables) from attributes (columns). Foundation for ACSets (Attributed C-Sets) and AlgebraicJulia data structures.

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Ranked taxonomy of categorical structures from sets to ∞-topoi with gap analysis and DuckDB integration.

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Go-based security techniques from "Black Hat Go" extended with macOS, Cloud, Mobile, IoT, Supply Chain, API, Web3, AI/ML, Red Team, ATT&CK, and LLM chapters. 186 techniques, 36 tools, 33 defenses across 37 chapters. Includes adversarial bisimulation games with Ungar (order-dependent) and join-semilattice structures. AAIF-compatible multiplayer agent games for human-agent security exercises.

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Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.

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Category-theoretic graph rewriting with DPO, SPO, and SqPO pushouts for C-Sets. Declarative transformation of acset data structures.

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Attributed C-Sets as algebraic databases. Category-theoretic data structures generalizing graphs and dataframes with Gay.jl color integration.

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Generate hierarchical AGENTS.md structures for codebases. Use when user asks to create AGENTS.md files, analyze codebase for AI agent documentation, set up AI-friendly project documentation, or generate context files for AI coding assistants. Triggers on "create AGENTS.md", "generate agents", "analyze codebase for AI", "AI documentation setup", "hierarchical agents".

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Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent teams, designing agent communication, or orchestrating autonomous workflows.

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Generates Ansible playbook YAML with proper module usage, handler chains, and role structures using ansible-core built-in modules. Supports Jinja2 template rendering and vault-encrypted variable files.

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Expert support operations guidance for customer service excellence. Use when designing ticket management systems, creating SLA policies, building support tier structures (L1/L2/L3), optimizing knowledge bases, defining severity levels and escalation procedures, implementing support metrics (CSAT, FRT, TTR, FCR), configuring support tool stacks, or building support-to-CS feedback loops. Covers Zendesk, Intercom, Freshdesk, and help desk best practices.

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Reference for advanced data structure patterns used in competitive programming and technical interviews. Covers heaps, monotonic stacks, tries, segment trees, Fenwick trees, stack-based parsing, and ordered sets with Python templates, recognition signals, and edge case guidance.

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Builds fund economic models with sensitivity across deployment pace, exit multiples, and fee/carry structures for LP and GP returns. Use when modeling fund economics, projecting LP net returns, or analyzing fee-adjusted performance.

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Structures debt maturity analysis with refinancing risk, market access assumptions, and liability management opportunities. Use when analyzing maturity walls, planning refinancing, or optimizing debt tenor.

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Prices FX options and exotic structures with Garman-Kohlhagen, local volatility, and stochastic volatility models. Use when pricing FX derivatives, evaluating FX options, or modeling cross-currency products.

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Structures interest rate hedging programs with swap analysis, cap/floor evaluation, and hedge accounting documentation. Use when designing rate hedges, comparing hedging instruments, or analyzing hedge effectiveness.

日本語の概要は準備中です。原文の説明を表示しています。