Skills
AI agent Skills için açık kayıt: önerilen modeller, örnek prompt'lar ve uyumlu araçlar içeren yapılandırılmış prompt'lar ve iş akışları.
Skills
37
Kategoriler
9
Uyumlu araçlar
5
Katkıda bulunanlar
1
Turns notes, articles, or textbook passages into spaced-repetition flashcards. Produces atomic question-and-answer pairs (and optional cloze deletions) that test one concept each, avoiding ambiguous prompts, and can export in a plain format ready to import into tools like Anki.
Drafts tailored, concise cover letters that connect a candidate's experience to a specific job description. Extracts the role's key requirements, maps them to the applicant's most relevant achievements, and produces a focused letter in the requested tone without generic filler.
Explains what a SQL query does in plain language and how it executes. Breaks down joins, subqueries, CTEs, and window functions step by step, describes the result set, reads EXPLAIN/EXPLAIN ANALYZE output to identify slow scans and missing indexes, and flags correctness pitfalls. Helps developers understand, review, and trust unfamiliar SQL.
Helps process a busy inbox quickly. Categorizes messages by urgency and type, extracts action items and deadlines, drafts short reply options, and proposes an order to handle them. Summarizes long threads into the decision needed and flags anything sensitive or requiring escalation, so you can clear the inbox with fewer decisions.
Creates accessible color palettes for brands and UIs from a brief or a seed color. Produces primary, secondary, and neutral scales with hex values, suggests semantic tokens (success, warning, error, info), and checks foreground/background pairings against WCAG contrast ratios. Outputs ready-to-use CSS variables or design tokens.
Writes conversion-focused ad copy for search, social, and display. Crafts headlines and descriptions within platform character limits, leads with a clear benefit and hook, matches message to audience and funnel stage, and produces multiple variants for A/B testing. Keeps claims honest and includes a strong, specific call to action.
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 candidate names for products, features, projects, or companies against a clear brief. Explores naming styles (descriptive, evocative, coined, compound), checks each for pronounceability and unwanted meanings, and suggests domain and handle patterns to verify. Returns a shortlist with rationale rather than an undifferentiated list.
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.
Helps make and document structured decisions. Elicits the options and the criteria that matter, assigns weights, scores each option, computes a weighted result, and runs a quick sensitivity check to show how robust the recommendation is. Produces a clear matrix plus a short written rationale suitable for an ADR or decision log.
Turns a messy list of tasks into a ranked, actionable plan. Applies a chosen framework (Eisenhower urgent/important, RICE, MoSCoW, or value/effort) consistently, surfaces dependencies and quick wins, groups work into a realistic today/this-week plan, and explains the ranking so the user can adjust the weighting.
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.
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.
Facilitates agile retrospectives that produce action, not just venting. Suggests a format suited to the team's mood, synthesizes raw notes into themes, distinguishes signal from one-off complaints, and turns discussion into specific, owned, time-boxed action items with follow-up on prior ones.
Turns strategy into well-formed Objectives and Key Results. Coaches on ambitious yet measurable objectives, outcome-based (not output-based) key results, leading vs lagging indicators, alignment across teams, and quarterly cadence with check-ins and scoring. Flags common anti-patterns like task lists disguised as OKRs.
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.
Develops a distinctive, consistent brand voice and tone system. Defines voice attributes, do/don't guidance, vocabulary and grammar rules, tone shifts by context (marketing, support, errors), and worked before/after examples. Produces a practical style guide teams and AI assistants can apply across every touchpoint.
Builds focused, time-boxed meeting agendas from a goal and a list of topics. Defines clear objectives and desired outcomes, allocates time per item, assigns owners, suggests pre-reads, and prepares decision points and discussion prompts so meetings stay purposeful and produce action items.
Drafts accurate, empathetic customer support replies grounded in a knowledge base or help docs. Classifies intent and urgency, matches the right tone, proposes solutions with clear steps, suggests escalation when needed, and outputs canned-response and macro templates for common ticket categories.
Turns raw data and natural-language requests into clear, well-labeled charts and the code to render them. Recommends the right chart type for the data and message, handles aggregation and formatting, and outputs production-ready visualizations using libraries like Matplotlib, Plotly, Vega-Lite, or Chart.js with accessible color palettes.
Adds clear, accurate inline comments and API doc blocks to existing code without changing behavior. Generates docstrings and structured comments (JSDoc, Google/NumPy style, Javadoc, Rustdoc) that explain intent, parameters, return values, side effects, and edge cases, while avoiding noisy comments that merely restate the code.
Skills ve MCP sunucuları
aralarındaki fark nedir?Skills“ne yapılacağı”
Bir Skill; talimatları, örnek prompt'u ve önerilen modelleri paketleyerek agent'ın görevi tutarlı şekilde yapmasını sağlar. Skills yeni bağlantılar değil, bilgi ekler.
MCP sunucuları“nasıl bağlanılacağı”
Bir MCP sunucusu, gerçek sistemlere (veritabanları, API'ler ve dosyalar) bir taşıma yöntemi üzerinden bağlanarak agent'a yeni yetenekler kazandırır. MCP görev talimatları değil, bağlantılar ve eylemler ekler.
Kısa kural: modelin bir görevi iyi yapması gerekiyorsa Skill, bir araca veya sisteme erişmesi gerekiyorsa MCP sunucusu kullanın. Birlikte çalışabilirler; Skill, MCP sunucusunun sunduğu araçlardan yararlanabilir.
Faydalı bir Skill mi geliştirdiniz?
Bir SKILL.md gönderin; açık kaynaklıdır ve topluluk tarafından sürdürülür.