Skills
El registro abierto de Skills para agentes de IA: prompts estructurados y flujos de trabajo con modelos recomendados, ejemplos y herramientas compatibles.
Skills
14
Categorías
9
Herramientas compatibles
5
Colaboradores
1
Mostrando 1–14 de 14 Skills
Turns merged work, pull requests, issues, and user-visible behavior changes into accurate, audience-specific release notes with breaking-change and upgrade guidance.
Turns customer results into a persuasive, credible case study. Structures the story as challenge, solution, and measurable results, weaves in quotes and concrete metrics, keeps claims verifiable, and ends with a clear call to action. Produces a publish-ready draft plus a one-paragraph summary and pull-quote suggestions.
Reviews and rewrites resumes and CVs to be clear, achievement-focused, and ATS-friendly. Rewrites bullet points using strong action verbs and quantified impact, aligns wording to a target job description, flags gaps and red flags, and checks formatting for applicant tracking system compatibility.
Drafts long-form blog posts from a topic, outline, or set of notes. Handles title and hook generation, logical section structure, SEO-aware headings, tone matching, internal linking suggestions, and a clear call to action. Produces publish-ready Markdown with meta description and suggested tags.
Drafts email newsletters that get opened and read. Writes subject lines and preview text, structures the issue with a clear lead, scannable sections, and a single primary call to action, and adapts tone to the audience. Can turn a list of updates or links into a cohesive issue and suggest send-time and segmentation tips.
Generates platform-tailored social media posts from a single idea or announcement. Adapts length, tone, hashtags, and formatting for X, LinkedIn, Instagram, and threads. Produces hook-first copy, variant options for A/B testing, and a suggested posting cadence while respecting each platform's conventions and character limits.
Turns merged pull requests, commits, and issue references into clear, audience-appropriate release notes. Groups changes into features, fixes, and breaking changes, translates technical detail into user-facing value, and produces both a concise highlights section and a complete changelog.
Optimizes web content for search engines and readers. Performs keyword analysis and intent mapping, improves titles, meta descriptions, headings, and internal linking, and generates structured data (JSON-LD) while keeping copy natural and useful. Outputs an actionable, prioritized list of on-page SEO improvements.
Assists with internationalization (i18n) and localization (l10n) of applications and content. Extracts translatable strings, generates resource bundles, translates copy while preserving placeholders and ICU plural/gender rules, and flags layout, date, number, and currency formatting concerns for target locales.
Assists with writing, structuring, and editing scientific manuscripts, grant proposals, and technical reports. Supports IMRaD structure, proper citation formatting, abstract writing, methods sections with reproducibility details, results interpretation, and response to reviewer comments. Adapts to journal-specific guidelines and word limits.
Transforms complex technical concepts into clear, well-structured documentation for different audiences. Produces README files, architecture decision records (ADRs), runbooks, onboarding guides, and technical blog posts. Follows documentation best practices with consistent tone, proper formatting, and useful examples.
Rewrites vague or technical error messages into clear, actionable user-facing messages. Considers the audience (end-user vs developer), suggests error codes, and provides guidance on what the user can do to resolve the issue.
Drafts professional emails for various business contexts — follow-ups, introductions, requests, escalations, and announcements. Adapts tone from formal to friendly based on audience and relationship. Keeps messages concise and action-oriented.
Generates comprehensive documentation from code including API references, README files, architecture decision records (ADRs), inline comments, and user guides. Adapts tone and detail level to the target audience (developers, end-users, stakeholders).
Skills frente a servidores MCP
¿cuál es la diferencia?Skillsel «qué hacer»
Una Skill reúne conocimientos prácticos —instrucciones, un prompt de ejemplo y modelos recomendados— para que un agente realice una tarea de forma consistente. Las Skills aportan conocimiento, no nuevas conexiones.
Servidores MCPel «cómo conectarse»
Un servidor MCP proporciona nuevas capacidades a un agente conectándolo con sistemas reales —bases de datos, API o archivos— mediante un transporte. MCP añade conexiones y acciones, no instrucciones de tarea.
Regla práctica: usa una Skill cuando necesites que el modelo realice bien una tarea y un servidor MCP cuando necesites conectarlo con una herramienta o sistema. Se complementan: una Skill puede utilizar las herramientas que proporciona un servidor MCP.
¿Has creado una Skill útil?
Envía un archivo SKILL.md: es de código abierto y está mantenido por la comunidad.