1.4万 件 ・ 関連度順
概要と使いどころ
"Implement BM25 ranking function for e-commerce product search relevance scoring. Use this skill when the user needs to build a text-based product search engine, improve search result relevance, or replace basic TF-IDF with a more robust ranking function — even if they say 'product search ranking', 'search relevance', or 'BM25 implementation'.".
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 dynamic pricing strategies that adjust prices in real-time based on demand, time, and competition. Use this skill when the user needs to build a dynamic pricing system, implement surge pricing, or optimize prices for perishable inventory — even if they say 'real-time pricing', 'surge pricing', or 'demand-based price adjustment'.".
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 implement smart contracts as self-executing programmatic agreements on blockchain. Use this skill when the user needs to build automated on-chain logic, evaluate smart contract security, or design tokenized business rules — even if they say 'smart contract development', 'automated agreement', or 'on-chain logic'.".
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 employee turnover prediction models to identify flight risk and retention drivers. Use this skill when the user needs to predict which employees are likely to leave, identify retention risk factors, or prioritize HR interventions — even if they say 'attrition prediction', 'who is going to quit', or 'employee retention model'.".
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。
"Conduct compensation benchmarking analysis to position salaries against market data. Use this skill when the user needs to assess pay competitiveness, build salary bands, or analyze pay equity — even if they say 'are we paying market rate', 'salary benchmarking', or 'compensation analysis'.".
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 this skill for anything Jx — the Python/Jinja2 component library. Covers BOTH (a) library mechanics and integration AND (b) authoring production-ready UI components. Trigger this skill on any mention of Jx, `.jx` files, "Jinja components" in a Python web app context, or requests to build/create UI components for such an app.
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 project dependencies, build dependency trees, detect conflicts, and check compatibility
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 features with code, tests, and documentation. Use when building features from approved designs following TDD and project coding standards.
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。
Validate user stories — INVEST scoring, story-to-test coverage mapping, PRP completeness, and development-readiness assessment. Use after writing stories and before starting implementation. Trigger on "validate the stories", "are these stories ready", "INVEST check", "story coverage", "is this ready to build".
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 and publish project documentation — Starlight (Astro) for apps, markdown for libraries/services, with IT+EN i18n and VPS deploy. Use when writing user guides, scaffolding a docs site, or publishing docs. Trigger on "write docs", "documentation site", "user guide", "publish docs".
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 component architecture, REST API contracts, and data models (Pydantic schemas) before implementation. Use when planning how to build a feature, defining endpoints, or modeling data. Trigger on "design the architecture", "design the API", "data model", "how should I structure this feature".
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 Dockerfiles and Compose files against the 10 common Docker mistakes — image security, build efficiency, runtime safety. Use when reviewing or hardening Docker configs. Trigger on "audit my Dockerfile", "check this Compose file", "Docker best practices", "is my container secure".
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 and audits a concept-ontology for a regelrecht corpus to decide and verify reference types — cross-law source-binding vs intra-law source-binding vs open-norm leaf vs external-fact leaf — and to catch concept conflation across laws. Core principle: a value's reference type is fixed by WHO derives it, and a binding is sound only when producer and consumer denote the SAME concept; the lexical surface (the word in the text) is not the concept. Detects false friends (one term, different concepts — e.g. a register-based vs a factual "naar de omstandigheden"-based residence/ingezetene concept), orphan plain-params (a value a regulation actually derives, modeled as a brute input), negation/complement re-entry (¬X modeled as an independent leaf next to X), and duplication (one concept re-entered as several independent leafs, losing the single-source-of-truth invariant). Produces a law-level glossary and a stelsel-level concept map with sound same-concept binding edges and flagged lexical-match-but-concept-mismatch edges. Use when deciding whether a value should be cross-law/intra-law/leaf, when the same term means different things across laws, or when a binding might silently conflate concepts.
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。
MCP 服务器构建方法论 — 系统化构建生产级 MCP 工具，让 AI 助手连接外部能力
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 high-converting, visually distinctive landing pages. Use when building marketing pages, product launches, SaaS homepages, or any single-page conversion-focused website. Guides section-by-section composition with anti-AI-slop principles.
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 preparing a desktop or web app update for commit, packaging, installer validation, GitHub publication, release asset upload, or old-release pruning. Protects user data and verifies that published artifacts match the tested build.
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。
An adversarial job search that gets better as it goes. Set up a job-search workspace, search a careers board and score roles against the realistic applicant pool, build a resume and cover letter, review them with seven agents that return a verdict per submission channel, then write what the review finds back into the profile. Invoke with /slushpile and name what you want to do.
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。
Guide a first-time Forge builder through deploying a stock Rovo Agent, then turning it into Forge Guru, a documentation companion. Use for Forge onboarding, a first Forge or Rovo app, or resuming this tutorial. Route unrelated existing-app changes, debugging, reviews, and connector work to the specialist skills.
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。
Frappe-native SQL and ORM guidance for `frappe.db`, Query Builder, `tab{DocType}` tables, permission-sensitive queries, and raw SQL review. Use when writing or reviewing database access in Frappe.
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。
Frappe-specific search and discovery guidance for finding benches, apps, remotes, sites, ports, hooks, DocTypes, builder DocTypes, and frontend surfaces quickly. Use when the task starts with locating or classifying Frappe context.
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。
Frappe frontend guidance for Vue and React, including desk pages, `www` pages, `frappe-ui`, Doppio-style frontends, client scripts, and external SPA integrations. Use when building or reviewing Frappe UI work.
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。
Frappe customization-surface guidance covering Custom Field, Property Setter, Client Script, Server Script, Workspace, Web Page, Page, Print Format, Report, Dashboard, Workflow, Role, Notification, Webhook, and related builder/admin DocTypes. Use when choosing or changing Frappe customization layers.
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。
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
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。
Translate strategy into a balanced scorecard, strategy map, OKR bridge, and executive initiative portfolio with clear measures, targets, and owners. Use when leadership needs strategic alignment, portfolio prioritization, or a management dashboard tied to outcomes. Do not use for ad-hoc brainstorming with no strategic horizon.
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。