Skills
Открытый реестр Skills для ИИ-агентов — структурированные промпты и рабочие процессы с рекомендуемыми моделями, примерами и совместимыми инструментами.
Skills
7
Категории
9
Совместимые инструменты
4
Участники
1
Показано 1–7 из 7
Synthesizes interviews, support tickets, reviews, and survey responses into evidence-based themes, opportunities, representative quotes, confidence levels, and product actions.
Reviews claims in a document for accuracy and verifiability. Extracts discrete factual statements, rates each as supported, unsupported, or needs-verification, flags logical inconsistencies and unsourced numbers, and suggests what evidence would confirm or refute each claim. Designed to reduce hallucinated or outdated facts before publishing.
Builds discovery and usability interview guides that surface real insight. Translates research questions into open, non-leading prompts, sequences warm-up to deep-dive topics, adds follow-up probes, and applies techniques like the "five whys" and past-behavior questions. Outputs a timed guide with a consent intro and a synthesis template for notes.
Designs surveys that produce reliable, unbiased data. Turns research goals into clear questions, chooses appropriate scales and response types, avoids leading and double-barreled wording, orders questions to reduce bias, and plans screening and branching logic. Outputs a ready-to-field questionnaire with an analysis plan for each question.
Builds structured competitive analyses from public information. Maps competitors across positioning, pricing, features, target segments, and go-to-market motion; produces feature-comparison matrices and SWOT summaries; and highlights differentiation gaps and opportunities. Emphasizes citing sources and separating verified facts from inference.
Conducts structured market and competitor research and turns it into a decision-ready brief. Covers market sizing (TAM/SAM/SOM), competitor feature and pricing matrices, positioning and differentiation, customer segments, and SWOT, with clearly stated assumptions and sources so conclusions can be traced and challenged.
Summarizes research papers, technical articles, and documentation into structured briefs. Extracts key findings, methodology, limitations, and practical implications. Adapts output format from executive summary to detailed technical breakdown.
Skills и MCP-серверы
в чём разница?Skillsописывают, что делать
Skill объединяет инструкции, пример промпта и рекомендуемые модели, чтобы агент стабильно выполнял задачу. Skills добавляют знания, а не новые подключения.
MCP-серверыописывают, как подключиться
MCP-сервер расширяет возможности агента, подключая его к реальным системам: базам данных, API и файлам. MCP добавляет подключения и действия, а не инструкции к задаче.
Простое правило: выбирайте Skill, когда модели нужно хорошо выполнить задачу, и MCP-сервер, когда ей нужен доступ к инструменту или системе. Их можно сочетать: Skill может использовать инструменты MCP-сервера.
Создали полезный Skill?
Добавьте SKILL.md в открытый реестр, который поддерживает сообщество.