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Agent skills

Skills you can use with AI coding agents, indexed from public GitHub repositories.

Latest Most Popular

software-payments Production-grade payment integration for Stripe, Paddle, Adyen, and more. Use when implementing checkout, subscriptions, webhooks, or billing.
vasilyu1983/AI-Agents-public 50
dev-ai-coding-metrics Measure and optimize AI coding agent impact — adoption tracking, DORA/SPACE for AI teams, ROI frameworks, DX surveys, benchmarking. Use when measuring AI tool effectiveness or building metrics programs.
vasilyu1983/AI-Agents-public 50
software-security-appsec AppSec patterns aligned with OWASP Top 10:2025 and NIST SSDF. Use when implementing auth, input validation, crypto, or reviewing security posture.
vasilyu1983/AI-Agents-public 50
dev-structured-logs Migrate legacy string-based logging in .NET/C# code to structured logging templates, insert CommandHandler logging scopes, and validate or update Serilog File sink settings in appsettings JSON files. Use when users ask to modernize ILogger or Serilog usage through safe rewrites, run dry-run logging migration previews, apply structured logging rewrites, or enforce JSON file sink formatter and path conventions. For general backend design and observability guidance use $software-csharp-backend, for NUnit test design use $qa-testing-nunit, and for pipeline changes use $ops-nuke-cicd.
vasilyu1983/AI-Agents-public 50
dev-api-design REST/GraphQL/gRPC/tRPC API design patterns. Use when designing APIs, writing OpenAPI specs, versioning, auth, or rate limiting.
vasilyu1983/AI-Agents-public 50
software-architecture-design Designs system structure across monolith/microservices/serverless. Use when structuring systems, scaling, decomposing monoliths, or choosing patterns.
vasilyu1983/AI-Agents-public 50
ai-prompt-engineering Prompt engineering for production LLMs — structured outputs, RAG, tool workflows, and safety. Use when designing or debugging prompts for LLM APIs.
vasilyu1983/AI-Agents-public 50
data-analytics-engineering Analytics engineering for reliable metrics and BI readiness. Use when building dbt models, defining metrics, or designing analytics layers.
vasilyu1983/AI-Agents-public 50
qa-agent-testing QA harness for LLM agents: scenario suites, flake controls, tool sandboxing, LLM-as-judge scoring, and regression protocols.
vasilyu1983/AI-Agents-public 50
ai-rag RAG and search engineering — chunking, hybrid retrieval, reranking, and nDCG evaluation. Use when building retrieval-augmented generation pipelines.
vasilyu1983/AI-Agents-public 50
software-clean-code-standard Cross-language clean code standard with stable CC-* rule IDs. Use when writing/reviewing code, defining team standards, or citing lint findings.
vasilyu1983/AI-Agents-public 50
agents-skills Reference for creating AI agent skills with SKILL.md structure. Use when building or improving modular skill files for Claude Code or Codex.
vasilyu1983/AI-Agents-public 50
qa-testing-android Android testing with Espresso, UIAutomator, and Compose Testing. Use when building layered test strategy, device matrix, or CI integration.
vasilyu1983/AI-Agents-public 50
qa-api-testing-contracts API contract testing across REST, GraphQL, and gRPC. Use when you need schema validation, breaking-change detection, and CI quality gates.
vasilyu1983/AI-Agents-public 50
qa-testing-nunit Design and refactor C# test suites with NUnit for API, component, and integration scenarios. Use when creating or fixing NUnit fixtures, structuring test projects, setting up WireMock and Testcontainers dependencies, and reducing flaky behavior in CI or local runs. For general backend service implementation use $software-csharp-backend, for pipeline target changes use $ops-nuke-cicd, and for logging-migration rewrites use $dev-structured-logs.
vasilyu1983/AI-Agents-public 50
software-code-review Systematic code review patterns and checklists. Use when reviewing PRs or diffs for correctness, security, readability, and maintainability.
vasilyu1983/AI-Agents-public 50
docs-codebase Technical writing for READMEs, ADRs, API docs, and changelogs. Use when revising or consolidating a repo documentation folder.
vasilyu1983/AI-Agents-public 50
ai-agents Production AI agent patterns covering MCP, RAG, guardrails, observability, and ROI. Use when designing or evaluating agent systems.
vasilyu1983/AI-Agents-public 50
agents-hooks Event-driven hooks for AI coding agents. Use when automating Claude Code or Codex CLI with stdin JSON and decision-control responses.
vasilyu1983/AI-Agents-public 50
docs-ai-prd Writes PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, or Copilot.
vasilyu1983/AI-Agents-public 50
qa-refactoring Safe refactoring with behavior preservation. Use when reducing technical debt, applying strangler migrations, or tightening CI guardrails.
vasilyu1983/AI-Agents-public 50
ai-ml-data-science ML and data science workflows — EDA, feature engineering, modelling, evaluation, and production handoff. Use when exploring data or building models.
vasilyu1983/AI-Agents-public 50
software-backend Production-grade backend APIs for Node.js, Python, Go, Rust, and C# with PostgreSQL. Use when building REST/GraphQL/tRPC services or auth.
vasilyu1983/AI-Agents-public 50
dev-dependency-management Dependency management across npm, pip, cargo, and maven. Use when managing lockfiles, security scanning, versioning, or monorepo workspaces.
vasilyu1983/AI-Agents-public 50