「solutions」の検索結果

Computational thinking as a problem-solving discipline independent of programming languages. Covers the four pillars (decomposition, pattern recognition, abstraction, algorithm design), computational problem-solving methodology (understand, decompose, generalize, formalize, verify), abstraction levels (from hardware through user interface), modeling and simulation, automata and formal languages (DFA, NFA, regular expressions, context-free grammars, Turing machines), computational complexity classes (P, NP, NP-complete, undecidable), and constructionist pedagogy (learning by building, Logo, Scratch, physical computing). Use when approaching unfamiliar problems, teaching problem-solving strategies, analyzing problem complexity, or bridging between domain knowledge and computational solutions.

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。

Creative reasoning framework for ill-defined problems where conventional solutions are suboptimal. Use when the problem has ambiguous goals, vast solution space, no single correct answer, or requires innovation. Implements three paradigms — combinational (novel combinations of familiar ideas), exploratory (expand solution space boundaries), transformative (alter fundamental constraints). Do not use for well-defined problems, mathematical puzzles, or tasks requiring convergent reasoning.

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。

Activates Standard of Excellence enforcement for the current session. Load before starting any task to apply completion standards: finish the whole thing, fix the root cause, ship the complete working result. Blocks partial solutions, workarounds, deferred threads, and invented content limits when the permanent solve is within reach. Triggers: 'do the whole thing', 'boil the ocean', 'standard of excellence', 'finish it completely', before starting any implementation, refactoring, or multi-step task where partial output is a risk. Does NOT apply to: read-only queries, one-line typo fixes, pure knowledge questions, or single-output summarize requests.

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。

Build structured ICP documentation by scraping case studies, testimonials, and solutions pages from your website. Produces firmographics, champion + economic buyer personas, pain points, decision criteria, anti-ICP, customer proof points, and voice-of-customer synthesis. Writes to marketing/icp/ICP.md as the canonical ICP every downstream skill reads. Triggers - "icp research", "ideal customer profile", "persona research", "customer segments", "who are our customers", "build ICP"

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。

Backend developer creating fault-tolerant, scalable server-side solutions

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。

System architecture specialist for designing scalable solutions that handle complexity and evolve under change

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。

Construct and score Grand Slam Offers using the Value Equation — sourced pain mining, dream outcome articulation, problems→solutions→trim-and-stack offer construction, guarantee/scarcity/bonus design, 1-10 scoring on the four Value Equation variables, pricing sanity pass, and compliance check. Use when "build an offer", "grand slam offer", "value equation", "offer stack", "make this offer irresistible", "design a guarantee", "hormozi offer", "why isn't my offer selling", "pricing and packaging for my offer", or any request to design, score, or rework a commercial offer.

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。

Customer discovery framework using Jobs-To-Be-Done theory — uncover the functional, social, and emotional jobs customers hire products to do. Produces JTBD canvases with job statements, outcome metrics, and competing solutions. Use alongside cm-brainstorm-idea for evidence-based product decisions.

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。

Research-before-coding workflow: systematically search existing solutions before custom implementation. Use when introducing new libraries, tools, or solving unfamiliar problems.

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。

Map the needs of the people you're building or exploring for, independently of solutions, using Allen's User Needs Mapping methodology. Identifies underserved needs that feed into the Opportunity Solution Tree.

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。

Use to prioritize solutions or opportunities using ICE scoring with evidence-backed confidence.

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。

Create or reorganize .NET solutions with clean project boundaries, repeatable SDK settings, and a maintainable baseline for libraries, apps, tests, CI, and local development.

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。

Deploy and manage Netlify projects using Next.js with serverless functions, environment variables, and continuous deployment. Use this skill when working with Netlify deployments, configuring netlify.toml, managing Netlify Functions, debugging webhooks, setting environment variables, or troubleshooting deployment issues for Next.js applications on Netlify. Essential for Twilio-Aldea and similar serverless SMS/telephony projects. v2.0 includes official Netlify documentation, production patterns from Twilio-Aldea (webhook timeout solutions, background functions), and TypeScript code examples.

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。

Implement secure secrets management in Kubernetes using SealedSecrets for GitOps, External Secrets Operator for cloud secret managers, and rotation strategies. Handle TLS certificates, API keys, and credentials with encryption at rest and RBAC controls. Use when storing sensitive configuration for Kubernetes applications, implementing GitOps where secrets must be version-controlled, integrating with AWS Secrets Manager or Azure Key Vault, rotating credentials without downtime, or migrating from plaintext Secrets to encrypted solutions.

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。

AI solution exploration using ant colony optimization — deploying scout hypotheses, reinforcing promising approaches, detecting diminishing returns, and knowing when to abandon a strategy. Use when facing a problem with multiple plausible approaches and no clear winner, when the first approach is not working but alternatives are unclear, when debugging with no obvious root cause requiring parallel hypothesis investigation, or when previous attempts have converged prematurely on a suboptimal approach.

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。

AI multi-path reasoning coherence using bee democracy — independent evaluation of competing approaches, waggle dance as reasoning-out-loud, quorum sensing for confidence thresholds, and deadlock resolution. Use when forage-solutions has identified multiple valid approaches and a selection must be made, when oscillating between options without committing, when justifying an architecture or tool choice with structured reasoning, or before an irreversible action where the cost of the wrong choice is high.

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。

Analyze the dynamics of diffusion processes using stochastic differential equations, Fokker-Planck equations, first-passage time distributions, and parameter sensitivity analysis. Use when deriving probability density evolution for a continuous-time diffusion process, computing mean first-passage times for bounded diffusion, analyzing how drift and diffusion parameters affect process behavior, or validating closed-form solutions against stochastic simulation.

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。

Design and visually validate implementation-agnostic website pages or modules from an approved Design System and confirmed content. Use for Module Design Solutions, Page UI Architecture Maps, media, evidence, page motion budgets, section motion intent, visual-direction images, and direction review before HTML. Do not use to write or review HTML/CSS/JS, run browser implementation QA, plan platform fields, or implement CMS components.

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。

Generate Apple App Store screenshot pages as a Next.js app with html-to-image export at required resolutions. Screenshots are advertisements, not documentation — every screenshot sells one idea. Use when building App Store screenshots, generating exportable marketing screenshots for iOS apps, or creating programmatic screenshot generators. Triggers on 'app store screenshots', 'App Store', 'screenshot generator', 'iOS screenshots', 'marketing screenshots', 'phone mockup', 'ASO screenshots', 'app store assets', 'app listing', 'app store page', or 'app preview images'. Also use when someone is about to submit an app and needs store assets, or when they say 'make my app store page look good'. Includes iPhone and iPad mockup components with pre-measured dimensions.

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。

Search for papers and similar competition solutions related to the competition, and summarize in survey/papers/. Use during the research phase or when exploring new approaches.

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。

Create or reorganize .NET solutions with clean project boundaries, repeatable SDK settings, and a maintainable baseline for libraries, apps, tests, CI, and local development.

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。

Analyze build vs buy decisions for AI solutions. TRIGGERS - Use when user needs help with ai-build-vs-buy related tasks.

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。

Evaluate and implement agricultural technology solutions. TRIGGERS - Use when user needs help with agricultural-technology related tasks.

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。

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

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。