Agent Skills
Instruction packs for your AI agent — browse standalone skills, tool add-ons and skills that need setup first.
✦ Standalone skills2,358
Listed for general use, with no separate prerequisite named.
🧰 Tool add-ons426
Listed as skills bundled with a specific tool, with no separate prerequisite named.
🔌 Needs setup first88
Each relies on something you set up separately — such as an app, a command-line tool or an account — and its page names what that is.
google-labs-code · Development
1,004 standalone skillscsharp-xunit
✓★ 36,202by github
Get best practices for XUnit unit testing, including data-driven tests
data-breach-blast-radius
✓★ 36,202by github
Pre-breach impact analysis: inventories sensitive data (PII, PHI, PCI-DSS, credentials), traces data flows, scores exposure vectors, and produces a regulatory blast radius report with fine ranges sourced verbatim from GDPR Art. 83, CCPA § 1798.155(a), and HIPAA 45 CFR § 160.404. Cost benchmarks from IBM Cost of a Data Breach Report (annually updated). All citations in references/SOURCES.md for verification. Use when asked: "assess breach impact", "what data could be exposed", "calculate blast radius", "data exposure analysis", "how bad would a breach be", "quantify data risk", "sensitive data inventory", "data flow security audit", "pre-breach assessment", "worst-case breach scenario", "breach readiness", "data risk report", "/data-breach-blast-radius". For any stack handling user data, health records, or financial information. Output labels law-sourced figures (exact) vs heuristic estimates (planning only). Does not replace legal counsel.
datanalysis-credit-risk
✓★ 36,202by github
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
dataverse-python-advanced-patterns
✓★ 36,202by github
Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
dataverse-python-production-code
✓★ 36,202by github
Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
dataverse-python-quickstart
✓★ 36,202by github
Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
dataverse-python-usecase-builder
✓★ 36,202by github
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
debian-linux-triage
✓★ 36,202by github
Triage and resolve Debian Linux issues with apt, systemd, and AppArmor-aware guidance.
declarative-agents
✓★ 36,202by github
Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration
dependabot
✓★ 36,202by github
Comprehensive guide for configuring and managing GitHub Dependabot. Use this skill when users ask about creating or optimizing dependabot.yml files, managing Dependabot pull requests, configuring dependency update strategies, setting up grouped updates, monorepo patterns, multi-ecosystem groups, security update configuration, auto-triage rules, or any GitHub Advanced Security (GHAS) supply chain security topic related to Dependabot. For pre-commit dependency vulnerability scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when an agent needs to scan dependencies for known vulnerabilities before committing.
devops-rollout-plan
✓★ 36,202by github
Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes
diagnose
✓★ 36,202by github
Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
documentation-writer
✓★ 36,202by github
Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.
dotnet-best-practices
✓★ 36,202by github
Ensure .NET/C# code meets best practices for the solution/project.
dotnet-design-pattern-review
✓★ 36,202by github
Review the C#/.NET code for design pattern implementation and suggest improvements.
dotnet-timezone
✓★ 36,202by github
.NET timezone handling guidance for C# applications. Use when working with TimeZoneInfo, DateTimeOffset, NodaTime, UTC conversion, daylight saving time, scheduling across timezones, cross-platform Windows/IANA timezone IDs, or when a .NET user needs the timezone for a city, address, region, or country and copy-paste-ready C# code.
dotnet-upgrade
✓★ 36,202by github
Ready-to-use prompts for comprehensive .NET framework upgrade analysis and execution
doublecheck
✓★ 36,202by github
Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.
editorconfig
✓★ 36,202by github
Generates a comprehensive and best-practice-oriented .editorconfig file based on project analysis and user preferences.
ef-core
✓★ 36,202by github
Get best practices for Entity Framework Core
eval-driven-dev
✓★ 36,202by github
Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.
fedora-linux-triage
✓★ 36,202by github
Triage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance.
finalize-agent-prompt
✓★ 36,202by github
Finalize prompt file using the role of an AI agent to polish the prompt for the end user.
fluentui-blazor
✓★ 36,202by github
Guide for using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentDataGrid, FluentDialog, FluentToast, FluentNavMenu, FluentTextField, FluentSelect, FluentAutocomplete, FluentDesignTheme, or any component prefixed with "Fluent". Also use when troubleshooting missing providers, JS interop issues, or theming.
folder-structure-blueprint-generator
✓★ 36,202by github
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
from-the-other-side-vega
✓★ 36,202by github
Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up.
game-engine
✓★ 36,202by github
Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games.
gdpr-compliant
✓★ 36,202by github
Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.
gen-specs-as-issues
✓★ 36,202by github
This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.
generate-custom-instructions-from-codebase
✓★ 36,202by github
Migration and code evolution instructions generator for GitHub Copilot. Analyzes differences between two project versions (branches, commits, or releases) to create precise instructions allowing Copilot to maintain consistency during technology migrations, major refactoring, or framework version upgrades.