106 件 ・ 関連度順
概要と使いどころ
Set up the prerequisites for the Quarkus + LangChain4j agentic stack in the coding agent you are running — detect and (with approval) install the toolchain, register the Quarkus Agents MCP and context7 MCP servers, and write the conventions file into your project. User-invoked only, via /setup-agentic-scaffolding; it prepares the environment the /scaffold-project and /audit-project skills depend on.
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。
"Apply Agency Theory (Jensen and Meckling, 1976) to diagnose principal-agent problems — moral hazard, adverse selection — and design governance mechanisms to align interests. Use this skill when the user needs to analyze conflicts of interest between owners and managers, design incentive or monitoring structures, evaluate corporate governance effectiveness, or when they ask 'how do we ensure managers act in shareholders interest', 'why is this incentive plan failing', or 'what governance mechanisms reduce agency costs'.".
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。
"Apply information economics to diagnose and remedy market failures caused by asymmetric information. Use this skill when the user needs to analyze adverse selection, moral hazard, or signaling and screening mechanisms, especially in insurance, labor, credit, or product quality markets.".
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。
"Apply contract theory to design incentive-compatible agreements under moral hazard and adverse selection. Use this skill when the user needs to structure principal-agent contracts, evaluate compensation schemes, or analyze incomplete contract problems where parties cannot specify all contingencies ex ante.".
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。
Searches for Memorie van Toelichting (explanatory memoranda) for a Dutch law and generates Gherkin test scenarios from legislature-intended examples. Use this skill proactively when: user wants MvT-derived BDD scenarios, mentions "memorie van toelichting", "MvT", "parlementaire stukken", "rekenvoorbeelden", or "kamerstukken" in the context of Dutch law. Activate automatically when a new law YAML file is created and the user discusses testing or validation.
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。
Write structured legal memoranda following the Issue-Rule-Analysis-Conclusion (IRAC) framework. Suitable for internal legal opinions, advisory memos, and compliance assessments. Use when legal analysis needs to be documented for decision-makers. Do not use as a substitute for licensed legal advice on high-stakes matters.
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 memorable characters with silhouette, personality, expression sheets, and turnarounds.
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。
Comprehensive ethics expert covering virtue ethics, deontology, consequentialism, and applied ethical dilemmas
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 distinctive, production-ready frontend interfaces with high visual quality. Use this skill whenever the user asks to build, design, or improve any web UI — including landing pages, dashboards, components, app screens, forms, or interactive widgets. Also trigger when the user says "make this look better", "redesign this", "add polish", "build a UI", "create a page", "style this", or references HTML/CSS/JS, React, Vue, Svelte, or any frontend framework. If the request involves any visible output rendered in a browser, use this skill — even if the user hasn't explicitly said "design." This skill produces intentional, memorable interfaces that avoid generic AI patterns.
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。
Drafts a Certificate of Trust (Abstract/Memorandum of Trust) that verifies trustee authority for third-party reliance without disclosing full trust terms. Use when preparing trust certificates for real estate closings, bank account openings, business transactions, or any context requiring trustee authority verification with UTC-compliant, privacy-preserving disclosure.
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。
Generates a structured attorney work product memorandum from an initial client consultation for commercial litigation. Extracts verifiable facts from uploaded documents, builds a chronological narrative, identifies parties and contracts, flags preliminary legal claims and defenses, and produces a prioritized action plan. Triggers at matter intake when a business client needs a foundational case evaluation document for a pre-filing commercial dispute.
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。
Synthesizes multiple case summaries into one unified Case Summary Report. Triggers when the user has two or more case summaries, document analyses, or memoranda and needs them consolidated into a single report with patterns, contradictions, and gaps identified.
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。
Produces a practitioner-grade Blue Sky compliance memorandum and execution plan for U.S. securities offerings. Analyzes NSMIA covered securities preemption, classifies offerings under Regulation D/Rule 506 or alternative federal exemptions, maps state jurisdictional nexus distinguishing offers from sales, and generates a state-by-state filing plan with Form D/EFD workflow, fee schedules, amendment triggers, and renewal calendars. Use this skill when advising on private placement Blue Sky compliance, Reg D notice filings, multi-state offering coordination, state securities registration exemptions, Form D filings, EFD submissions, or state fee budgeting. Also trigger when the user mentions covered securities preemption, NSMIA analysis, or asks about state notice filing requirements. Even if the user just says "Blue Sky" or "state filings for our raise," use this skill.
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。
Drafts privilege-protective, board-ready executive summary memoranda of internal antitrust investigation findings for US federal law. Covers monopolization, vertical restraints, acquisitions, FTC Act Section 5, tech-platform conduct, risk assessment, and remediation. Use when drafting antitrust investigation summaries, board memos on competition risk, or internal compliance investigation reports.
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。
Produces structured U.S. adoption-law summaries for litigation and client-facing use. Use when asked to summarize adoption law, draft pre-filing research briefs, create jurisdiction-specific issue memoranda, or prepare client education documents. Triggers: adoption summary, domestic adoption, intercountry adoption, Hague adoption, foster care adoption, TPR in adoption, stepparent/relative adoption, post-adoption rights.
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。
Detects m6A modifications from Oxford Nanopore direct-RNA-seq (DRS) signal using m6Anet (multiple-instance-learning over DRACH 5-mer signal). Covers the upstream pipeline (Dorado/Guppy basecalling -> minimap2 map-ont -> nanopolish eventalign -> m6anet dataprep -> m6anet inference), per-site vs per-read probability including the mod_ratio stoichiometry column, the DRACH-only constraint, minimum-coverage thresholds (20-50 reads/site), multi-condition comparison via xPore/Nanocompore/ELIGOS, Dorado native modification calling (RNA004, 2024+), and the cDNA-vs-DRS distinction (cDNA Nanopore CANNOT detect modifications). Use when calling m6A from ONT DRS without immunoprecipitation, choosing m6Anet vs xPore vs Nanocompore vs ELIGOS vs Dorado native, interpreting probability_modified vs mod_ratio vs per-read probabilities, deciding between m6Anet (known DRACH sites) and Dorado/Remora (genome-wide screening), pinning RNA002 vs RNA004 chemistry and basecaller versions, or troubleshooting eventalign/dataprep failures.
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 when balancing eng-team velocity vs quality vs burnout — on-call load, focus fragmentation, reorg shock. Triggers on 'team is burning out', 'why is velocity dropping'.
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。
Método da Anthropic para treinar IA inofensiva através de auto-aprimoramento. Abordagem em duas fases - aprendizado supervisionado com auto-crítica/revisão, depois RLAIF (RL from AI Feedback). Use para alinhamento de segurança, redução de outputs prejudiciais sem rótulos humanos. Alimenta o sistema de segurança do Claude.
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 when a website needs a strong visual point of view, distinct concept routes, composition, typography, color/materiality, imagery direction, spatial rhythm, or a memorable signature idea.
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。
Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.
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。
Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing...
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 building portfolios that actually land jobs and clients - not just showing work, but creating memorable experiences. Covers developer portfolios, designer portfolios, creative portfolios, and portfolios that convert visitors into opportunities. Use when: portfolio, personal website, showcase work, developer portfolio, designer portfolio.
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。
Detects m6A modifications from Oxford Nanopore direct-RNA-sequencing (ONT DRS) signal data using m6Anet (Hendra 2022 *Nat Methods* 19:1590; multiple-instance-learning neural network over DRACH 5-mer signal). Covers the required upstream pipeline (Dorado / Guppy basecalling -> minimap2 transcriptome alignment with `-ax map-ont -uf -k14 --secondary=no` -> nanopolish eventalign with `--scale-events --signal-index` (m6Anet-required) plus `--summary` / `--threads` housekeeping -> m6anet dataprep -> m6anet inference), per-site vs per-read probability interpretation including the `mod_ratio` per-site stoichiometry column, the DRACH-only modeling constraint, minimum-coverage thresholds (20-50 reads per site for stable probability estimates), multi-condition comparison via xPore (Pratanwanich 2021 *Nat Biotechnol* 39:1394), Nanocompore (Leger 2021 *Nat Commun* 12:7198), ELIGOS (Jenjaroenpun 2021 *NAR* 49:e7), and Dorado native modification calling (RNA004 chemistry, 2024+), reference-transcriptome version pinning, the cDNA-vs-DRS chemistry distinction (cDNA-Nanopore CANNOT be used for modification detection), and orthogonal validation against MeRIP / GLORI. Use when calling m6A from ONT DRS without immunoprecipitation, choosing m6Anet vs xPore vs Nanocompore vs ELIGOS vs Dorado native, interpreting per-site `probability_modified` vs `mod_ratio` vs per-read modification probabilities, comparing methylation between conditions from ONT data, deciding between m6Anet for known DRACH sites and Dorado/Remora for genome-wide screening, pinning RNA002 vs RNA004 chemistry and basecaller model versions, or troubleshooting eventalign / dataprep failures.
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。
Premium calm-tech SaaS landing template — bilingual (CN/EN) literary voice over a dark forest-night palette with warm gold accent, Cormorant + Noto Serif SC, Three.js procedural forest hero, station-based scrolling narrative, custom cursor. Built for ambient-AI / creative-tool / philosophical SaaS, not loud commercial launch.
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。