「theory」の検索結果

Expert in groups, rings, fields, and algebraic structures with applications to cryptography and number theory

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。

Evolve this harness with Darwin Mode — frozen model, evolving harness (real, sandboxed, safety-gated).

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。

確立された文脈をもとに理論的方向性を議論して方針を深め，確定した方針を .claude/context.md に反映する．「方針はこれでいい？」「仮説を整理したい」「実験設計どう思う？」など，実装ではなく理論・方向性を議論したいときに使う．文脈の初期作成は /groundwork:survey を使う．

Expert in groups, rings, fields, and algebraic structures with applications to cryptography and number theory

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。

Abductive analysis for qualitative interview data following Timmermans & Tavory. Guides you through theory-first analysis that recognizes anomalies and generates novel theoretical insights through systematic puzzle exploration.

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。

Maxim fashion editorial video — engineered for aspirational desire and status signaling via Aesthetic Resonance + Aspirational Self + Social Comparison Theory. Fashion films that trigger status-driven purchase behavior.

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。

Maxim motion-comic narrative video — engineered for narrative engagement and origin-story investment. Uses Sequential Art Closure + Narrative Transportation + Curiosity Gap Theory to turn brand origins and episodic content into deeply-engaging narratives that viewers finish and share.

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。

Maxim cinematic brand film — engineered for commitment and emotional brand alignment. Uses Hero's Journey + Peak-End Rule + Emotional Arc Theory to convert viewers into brand advocates. Use for brand films, anthem ads, founder stories, long-form brand content. Triggers on cinematic, film, brand film, anthem, dramatic, epic, Hollywood-style.

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。

Maxim long-form brand story — engineered for commitment and mission alignment via StoryBrand + Hero's Journey + Emotional Arc Theory. Turns brand films into commitment mechanisms, not just awareness content.

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。

Maxim anime-action video — engineered for tribe identity and brand loyalty in youth markets. Uses Social Identity Theory + Pattern Interruption + Emotional Amplification to create brand-tribe belonging that translates to loyalty and advocacy.

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。

Maxim 2D cartoon explainer video — engineered for learning retention and friendly brand affinity. Uses Dual Coding Theory + Cognitive Load Reduction + Ekman Universal Emotion to make complex ideas memorable and brands feel trustworthy-approachable.

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。

Maxim Banner Design Intelligence — digital banner creation, ad creative, social media banners, hero sections, display advertising, promotional graphics. Activates pre-attentive attribute theory and pattern interruption science for every banner. Powered by Maxim behavioral science layer.

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。

Maxim Presentation Intelligence — pitch decks, investor presentations, executive briefings, product demos, conference talks, narrative-driven visual storytelling, data visualization in slides. Applies Minto Pyramid, Duarte Sparkline, McKinsey Slide Logic, and Dual Coding Theory to every deck. Powered by Maxim behavioral science layer.

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Complete guide for AutoFixture and xUnit integration. Use when you need to use AutoData or InlineAutoData to simplify xUnit parameterized test data preparation. Covers custom Customization and test data attributes to improve test readability and maintainability. Keywords: AutoData, InlineAutoData, AutoFixture xUnit, [AutoData], [InlineAutoData], AutoDataAttribute, ICustomization, DataAttribute, parameterized test, Theory AutoData, MemberAutoData, test data attributes, fixture.Customize

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BloodHound is a graph-based Active Directory reconnaissance tool that uses graph theory to reveal hidden and unintended relationships within AD environments. Red teams use BloodHound to identify attac

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。

Expert in temporal event detection, spatio-temporal clustering (ST-DBSCAN), and photo context understanding. Use for detecting photo events, clustering by time/location, shareability prediction, place recognition, event significance scoring, and life event detection. Activate on 'event detection', 'temporal clustering', 'ST-DBSCAN', 'spatio-temporal', 'shareability prediction', 'place recognition', 'life events', 'photo events', 'temporal diversity'. NOT for individual photo aesthetic quality (use photo-composition-critic), color palette analysis (use color-theory-palette-harmony-expert), face recognition implementation (use photo-content-recognition-curation-expert), or basic EXIF timestamp extraction.

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。

Decision-theoretic framework for agents embedded within the environments they model and act upon

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。

Foundational impossibility result proving consensus cannot be guaranteed in asynchronous systems with even one faulty process

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Decompose DAGs into execution chains using width bounds, stratification, virtual nodes, and matching. Use when minimizing workflow lanes in dependency graphs. NOT for cyclic graphs, generic scheduling, or one-off queries with no preprocessing payoff.

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。

Foundational distributed computing algorithms for consensus, coordination, and fault tolerance

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Analyze undirected cycle structure within a valid DAG using the source paper's orientation and contraction method. Use for cycle-basis analysis with explicit graph and reduction choices. NOT for directed feedback loops, workflow deadlocks, or runtime resilience claims.

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Threat-models protocols where authority, scarce resources, bonds, bounties, escrow, reputation, ordering, adjudication, or settlement create strategic incentives. Use to test attack utility, conservation, collusion, Sybil resistance, oracle capture, griefing, custody, liquidity, and residual risk. NOT for choosing payment or bond amounts without evidence, smart-contract code audit, legal or employment classification, DeFi trading, admitting workers, or settling claims.

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Validate finite-DAG order objectives and construct reachability-chain or direct-edge path partitions with explicit proof boundaries. NOT for equating reachability chains with direct-edge paths without checking the chosen objective.

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。

Treat tokens as a coding swarm's cost-of-goods-sold and legibility engine while accounting for finite subscription allowance when per-call price is unknown. Covers provider windows, remaining-usage evidence, burn forecasts, preemptive checkpoint/model switching, per-agent budgets, compaction, shared digests, context degradation, and spend metering. Activate on: "token budget", "context budget", "compaction strategy", "briefing as compression", "context rot", "summarization collapse", "COGS for agents", "subscription usage remaining", "five-hour or weekly limit", "burn forecast", "model switch before limit", or "/context-economics-for-agent-swarms". NOT for: memory architecture (use always-on-agent-architecture), single-prompt wording (use prompt-engineer), mechanism-design proofs (use nisan-et-al-2007-algorithmic-game-theory), physical containment (use sandboxed-adversarial-test-harness), or production rebodiment and fencing (use agent-resurrection-and-body-continuity).

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。