3,377 件 ・ 関連度順
概要と使いどころ
ISO 13485 Quality Management System implementation and maintenance for medical device organizations. Provides QMS design, documentation control, internal auditing, CAPA management, and certification support.
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。
Adversarial verification for AI-generated legal content. Use when fact-checking legal documents, validating citations, detecting hallucinations, scoring document quality, or assessing distribution readiness.
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。
Fullstack development toolkit with project scaffolding for Next.js/FastAPI/MERN/Django stacks and code quality analysis. Use when scaffolding new projects, analyzing codebase quality, or implementing fullstack architecture 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。
Code review automation for TypeScript, JavaScript, Python, Go, Swift, and Kotlin. Analyzes PRs for complexity, risk, SOLID violations, and code smells. Use when reviewing PRs, analyzing code quality, or generating review checklists.
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。
Data leadership advisor on data strategy, governance, quality, and platform decisions. Use when defining a data strategy, scoring data maturity, auditing data governance, evaluating a data platform, or designing the data org.
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 the user has a RAG (Retrieval-Augmented Generation) system and wants to evaluate its quality — separating retrieval issues from generation issues. Also use when the user mentions RAG evaluation, faithfulness checking, hallucination detection in RAG, retrieval quality, chunking optimization, or "is my RAG pipeline working." Outputs a diagnostic matrix that pinpoints whether problems are in retrieval or generation.
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。
Analyse existing written feedback for quality, specificity, actionability, and impact on student learning. Use when reviewing teacher or peer feedback to improve feedback practices.
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 a learning sequence teaching prompt quality — comparing vague vs. refined prompts to show why specificity and context transform AI output. Use when students use AI without understanding why output quality varies.
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。
Audit a proposed assessment for construct validity, reliability, and alignment to learning objectives. Use when reviewing or quality-assuring assessments before deployment.
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 LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
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。
Forensic financial analysis for A-share companies. Identifies discrepancies, potential irregularities, and earnings quality issues in Chinese financial statements. Adapted from the original break-trace skill for CAS accounting and Chinese market red flags. Triggers on "A股财务核查", "财务异常", "forensic analysis China", "财务舞弊", "earnings quality China", or "investigate [company] financials".
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。
Quality check investment banking pitch decks for A-share M&A and capital raising transactions. Adapts the original ib-check-deck skill for Chinese market standards, CAS financials, and domestic IB conventions. Triggers on "投行deck检查", "IB deck QC", "check pitch deck China", "deck quality check", "材料质量检查", or "review deck [company/transaction]".
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 SEO analysis for any website, page, business, or topic. Full site audits, SEO checks, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T), image optimization, sitemap analysis, GEO for AI Overviews/ChatGPT/Perplexity, and SEO best-practice planning. Industry detection for SaaS, e-commerce, local, publishers, agencies. Triggers on: SEO, audit, full SEO check, SEO best practices, optimize my site, ranking, organic search, schema, Core Web Vitals, sitemap, E-E-A-T, AI Overviews, GEO, technical SEO, content quality, page speed, structured data.
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。
Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit".
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 Swift/iOS code for adherence to modern Swift idioms, Apple platform best practices, architecture patterns, and code quality standards. Use when user mentions best practices, code review, clean code, refactoring, or wants to improve code quality.
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。
cogeqc aims to facilitate systematic quality checks on standard comparative genomics analyses to help researchers detect issues and select the most suitable parameters for each data set. cogeqc can be used to asses: i. genome assembly and annotation quality with BUSCOs and comparisons of statistics with publicly available genomes on the NCBI; ii. orthogroup inference using a protein domain-based approach and; iii. synteny detection using synteny network properties. There are also data visualizat
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。
Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, git diff, code edits, quality mentions.
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。
Pre-send quality scorecard for any lead list. Grades duplicate rate, title diversity, bad-title patterns, catch-all domain density, ICP fit, email verification coverage. Outputs a letter grade + action items BEFORE you send. Catches bad lists before they burn inboxes. Run after email enrichment, before Smartlead upload.
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 high-quality JUnit 5 tests with AssertJ assertions. Use when user says "add tests", "write tests", "improve test coverage", or when reviewing/creating test classes for Java code.
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。
Plan, build, and optimize Google Ads campaigns — Search, Shopping, Performance Max, Display, and YouTube — including keyword research, match types, bidding strategy, Quality Score, ad extensions, conversion tracking, and ROAS optimization. Use when the user says "Google Ads", "Google advertising", "Google campaign", "search ads", "Google Shopping", "Performance Max", "PMax", "Google Display", "YouTube ads", "keyword targeting", "Google Ads strategy", "Google Ads optimization", "Google Ads account", "Google Ads not working", "search campaign", "Quality Score", "bidding strategy", "Google conversion tracking", or wants to run or improve paid advertising on Google.
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 Higgsfield generation fails, produces poor quality, looks wrong, doesn't match the prompt, or the user needs to fix or improve an output.
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。
Edit podcast audio or video — trim pre/post-show chat, remove filler words, cut silences, enhance audio quality, and cut a video version of the same edit. Use when the user asks to edit a podcast, clean up audio, remove fillers, trim a recording, or improve voice quality.
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。
Pull Google Ads performance data and generate reports. Use when asked about ad campaign performance, keyword costs, quality scores, ROAS, conversion tracking, or ad spend analysis. Trigger phrases: "google ads", "adwords", "campaign performance", "ad spend", "quality score", "CPC report", "ROAS", "ad conversion", "keyword performance", "google ads report".
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 Google Ads copy and build campaign structures. Use when the user asks to create Google Ads, write ad copy for search or display, set up PPC campaigns, optimize Quality Score, choose bidding strategies, or generate responsive search ads. Trigger phrases include "Google Ads", "PPC", "search ads", "display ads", "Performance Max", "ad copy", "headlines and descriptions", "keyword match types", "ad extensions", "Quality Score".
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。