Skills

AI agent Skills için açık kayıt: önerilen modeller, örnek prompt'lar ve uyumlu araçlar içeren yapılandırılmış prompt'lar ve iş akışları.

Bazı açıklamalar otomatik çevrilmiş pilot içeriklerdir ve henüz editör tarafından incelenmemiştir.

Bir Skill ekle

Skills

82

Kategoriler

9

Uyumlu araçlar

8

Katkıda bulunanlar

2

82 Skill'den 1–21 arası gösteriliyor

Git Bisect AssistantOrta

Guides a git bisect session to isolate the commit that introduced a regression. Helps define a reliable good/bad test, drives the bisect steps, interprets results, and can suggest an automated test script for `git bisect run`, then explains the offending change once the culprit commit is found.

3 model
JSON Schema GeneratorOrta

Generates JSON Schema (Draft 7 through 2020-12) from example payloads, TypeScript types, or a natural-language description of a data shape. Infers types, required fields, formats, and constraints, and can add descriptions and enums to produce a validation-ready schema.

3 model
Prompt Regression TestingOrta

Builds regression suites for prompts and agent instructions so teams can detect quality, safety, format, and tool-selection regressions before deploying changes.

3 model
Accessibility AuditOrta

Ürün arayüzlerini semantik yapı, klavye kullanımı, odak davranışı, renk kontrastı, ekran okuyucular ve formlar dahil olmak üzere pratik erişilebilirlik gereksinimlerine göre denetler.

3 model
Data Contract DesignOrta

Defines versioned data contracts between producers and consumers, with ownership, schemas, quality expectations, compatibility rules, and operational change management.

3 model
Customer Feedback SynthesisOrta

Synthesizes interviews, support tickets, reviews, and survey responses into evidence-based themes, opportunities, representative quotes, confidence levels, and product actions.

3 model
Architecture Decision RecordOrta

Produces clear, reviewable architecture decision records that capture context, alternatives, trade-offs, consequences, rollout steps, and reversal criteria.

3 model
Analytics InstrumentationOrta

Designs trustworthy product analytics events, properties, identity rules, validation, privacy boundaries, dashboards, and governance for product and growth decisions.

3 model
Product Requirements DiscoveryOrta

Converts a loosely defined opportunity into testable product requirements, user journeys, scope boundaries, assumptions, risks, success metrics, and discovery questions.

3 model
Incident PostmortemOrta

Produces blameless, actionable incident postmortems with a precise timeline, contributing factors, impact, decisions, corrective actions, owners, and measurable follow-through.

3 model
Workflow Automation DesignOrta

Designs reliable AI-assisted business and engineering automations with triggers, approvals, idempotency, observability, exception handling, and human handoff points.

3 model
Structured Output DesignOrta

Designs reliable JSON and typed outputs for LLM features, including schemas, validation, recovery paths, versioning, examples, and contracts for downstream consumers.

3 model
AI Codebase OnboardingOrta

Bilinmeyen bir repository'yi mimari, kurallar, yerel kurulum, önemli çalışma yolları ve güvenli ilk değişiklikler hakkında kısa bir mühendislik rehberine dönüştürür.

3 model
Release Notes AutomationOrta

Turns merged work, pull requests, issues, and user-visible behavior changes into accurate, audience-specific release notes with breaking-change and upgrade guidance.

3 model
Test Plan WriterOrta

Produces structured test plans for features and releases. Defines scope and objectives, derives test cases from requirements and acceptance criteria, covers functional, edge, negative, performance, and accessibility cases, sets entry/exit criteria, and maps risk to test priority. Outputs a clear plan with a traceability matrix linking tests to requirements.

4 model
CSV Data CleanerOrta

Inspects messy tabular data and produces a repeatable cleaning plan plus code. Detects and fixes common issues: inconsistent types, duplicate rows, missing values, malformed dates, mixed encodings, whitespace and casing problems, and outliers. Outputs pandas or Polars code, a summary of changes, and a validation checklist.

4 model
Runbook GeneratorOrta

Produces operational runbooks for services and common incidents. Documents prerequisites, step-by-step diagnosis and remediation, exact commands, verification checks, rollback steps, and escalation paths. Structures each runbook so an on-call engineer can follow it under pressure, and keeps destructive steps clearly flagged with safeguards.

4 model
BDD Scenario WriterOrta

Translates requirements and user stories into behavior-driven development scenarios in Gherkin. Writes clear Given/When/Then steps, covers happy paths, edge cases, and negative cases, uses scenario outlines with examples for data-driven tests, and keeps steps declarative and reusable. Optionally scaffolds step definitions for Cucumber or Behave.

4 model
Git Hooks ManagerOrta

Sets up and maintains Git hooks for a repository. Recommends a manager (Husky, Lefthook, or pre-commit), wires up pre-commit and commit-msg hooks for linting, formatting, type checks, secret scanning, and conventional-commit validation, and keeps hooks fast with staged-file filtering. Produces config plus a short contributor guide.

4 model
Nginx Config GeneratorOrta

Produces production-ready nginx configuration for common scenarios: reverse proxy, load balancing, TLS termination, static file serving, HTTP/2, gzip/brotli, caching, rate limiting, and security headers. Explains each directive, warns about risky defaults, and includes a validation step so the config can be tested before reload.

4 model
dbt Model GeneratorOrta

Generates and refactors dbt models for analytics engineering. Writes staging, intermediate, and mart models following layered conventions, adds schema.yml tests and descriptions, applies incremental and materialization strategies, and structures sources and refs correctly. Produces SQL plus YAML that fits dbt best practices and is ready to run.

4 model

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.

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