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概要と使いどころ
Use when a user says "add a ty diagnostic", "write this new ty diagnostic", "change a ty error message", "review ty diagnostics", or asks to add, update, or review ty checks, diagnostic messages, subdiagnostics, or concise output 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。
Determine the conceptual proximity of a topic -- its parent topic, its most relevant sibling topics, and its most relevant child topics -- optionally grounded in Internet/Web facts and optionally navigable in an interactive loop. Use when the user wants to explore the conceptual neighborhood of a topic, or mentions "proximity" or "related topics".
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。
On-Chain Analytics Agent — whale movements, exchange flows, active addresses, network growth, holder distribution, and transaction metrics with On-Chain Score (0-100)
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 customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.
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。
Strategic product leadership guidance for SaaS and technology companies. Covers product strategy, roadmap planning, product discovery, user research, growth product management, platform strategy, product analytics, and product launches. Use when defining product vision, prioritizing features, conducting discovery, analyzing metrics, or launching products. Use for "product strategy", "roadmap planning", "feature prioritization", "product discovery", "product metrics", "PRD writing".
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 product analytics strategist for SaaS and digital products. Use when designing product metrics frameworks, funnel analysis, cohort retention, feature adoption tracking, A/B testing, experimentation design, data instrumentation, or product dashboards. Covers AARRR, HEART, behavioral analytics, and impact measurement.
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。
Advanced motion designer with decades of After Effects and motion graphics experience, specialized in creating engaging video specifications for Remotion. Use when creating video specs, planning motion graphics, designing animations, or when asked to "create a video", "design motion graphics", "plan video content", or "spec out a video". Produces detailed scene-by-scene specifications with timing, audio, sound effects, and animation descriptions.
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。
Reviews startup financial models for investor readiness: validates unit economics, stress-tests runway scenarios, and benchmarks metrics against stage-appropriate targets. Use the full review, about 10–15 minutes, when the user provides a financial model (Excel, CSV, or a model pasted as text) and asks for review, validation, runway analysis, or unit-economics scoring. For a single money question with figures to compute, such as 'how long do I have?' or 'is a 4x burn multiple bad?', use its shorter quick check, so the answer comes from the calculator and dated benchmarks, not mental arithmetic.
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 web traffic, SEO performance, and search engine trends using Google Search Console, Google Analytics 4, and Bing Webmaster Tools. Use when the user asks to analyze traffic, check SEO, or find keyword opportunities.
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。
Look up junior.guru web analytics (traffic, pageviews, visitors, top pages, referrers, countries, UTM sources, devices, events) via public Simple Analytics, and Google search performance (queries, impressions, clicks, positions, CTR) from Search Console data saved in the repo. Use whenever a task needs data about website visits, page popularity, SEO, or what people search for.
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。
Builds depletion models with production decline, reserve replacement economics, and terminal value analysis for finite-life assets. Use when modeling depletion, analyzing resource longevity, or evaluating reserve life economics.
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。
Analyzes securities lending market with borrow cost, short interest dynamics, and fail-to-deliver monitoring. Use when analyzing lending markets, tracking borrow costs, or evaluating short selling dynamics.
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。
Builds carbon credit models with offset generation analysis, verification costs, and market pricing dynamics for carbon-linked investments. Use when modeling carbon credits, analyzing offset economics, or evaluating carbon market exposure.
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。
Builds carry waterfall models with preferred return hurdles, catch-up provisions, and clawback mechanics across deal-by-deal and whole-fund structures. Use when modeling carry economics, comparing waterfall structures, or analyzing GP incentive alignment.
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。
Structures direct listing execution with opening auction mechanics, reference price methodology, and market maker coordination. Use when executing direct listings, analyzing DL mechanics, or comparing DL vs IPO economics.
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。
Evaluates implied volatility surfaces with skew analysis, term structure dynamics, and surface fitting methodologies. Use when analyzing vol surfaces, assessing skew dynamics, or calibrating volatility models.
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。
Evaluates PLG dynamics with viral coefficients, freemium conversion, product-qualified leads, and expansion revenue mechanics. Use when analyzing PLG companies, assessing virality, or evaluating product-driven acquisition.
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。
Produce publication-ready 2D graphics with proper DPI, color profiles, typography, and export formats for print and digital media. Use when preparing figures for academic journal submission, creating graphics for print publications, ensuring graphics meet publisher technical specifications, exporting visualizations for web with proper optimization, or creating multi-format exports from a single source.
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。
Formulate a quantum mechanics or quantum chemistry problem with proper mathematical framework including Hilbert space, operators, boundary conditions, and approximation method selection. Use when setting up a quantum mechanics problem for analytic or numerical solution, formulating a quantum chemistry calculation, translating a physical scenario into the Schrodinger or Dirac formalism, or choosing between perturbation theory, variational methods, DFT, and exact diagonalization.
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 a Quarto-based tour report with embedded maps, daily itineraries, logistics tables, and accommodation/transport details. Produces a self-contained HTML or PDF document suitable for offline use during travel. Use when compiling a planned tour into a shareable document, creating an offline-accessible travel guide, documenting a completed trip with photos and statistics, or producing a professional tour proposal for a group or client.
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 publication-ready statistical tables using gt, kableExtra, or flextable. Covers descriptive statistics, regression results, ANOVA tables, correlation matrices, and APA formatting. Use when creating descriptive statistics tables, formatting regression or ANOVA output, building correlation matrices, producing APA-style tables for academic papers, or generating tables for Quarto and R Markdown documents.
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。
Use Therapeutics Data Commons through the PyTDC Python package for registry discovery, approved dataset access, task-aware splits (scaffold, cold-start, temporal, combination), evaluator metrics, benchmark groups, and bounded molecular-oracle workflows. Use this skill to find which TDC datasets exist for a therapeutic task, load them with a split that does not leak, score predictions with the task's own official metric rather than a generic one, and run benchmark groups reproducibly. Also trigger on PyTDC, Therapeutics Data Commons, tdc.single_pred, tdc.multi_pred, ADMET Benchmark Group, scaffold split, get_split, or molecular oracles such as GSK3B, JNK3 and DRD2.
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。
TypeScript discipline for any JavaScript/TypeScript project (frontend + backend): strict mode, type design, generics, narrowing, error types, module resolution, tsconfig hygiene. Apply when the project has `tsconfig.json` and `typescript` in devDependencies. Stack-agnostic — referenced by every JS/TS framework plugin in the marketplace. Use this skill to: - Write types that catch bugs at compile time, not runtime. - Use generics, conditional types, and discriminated unions correctly. - Avoid `any`, `unknown`, and unsafe casts. - Match the project's tsconfig strictness level. - Type third-party libraries (with @types/* or declaration files). Do NOT use this skill for: - Plain JavaScript projects (no tsconfig.json). - Framework-specific type idioms (React component props, Vue defineProps, Angular signals — those live in framework plugins' own conventions skills). - tRPC/Zod runtime-validation specifics — handled by validation libs at the boundary.
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。