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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.

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google-gemini

2,358 standalone skills
github avatar

copilot-cli-quickstart

✓★ 36,202

by github

Use this skill when someone wants to learn GitHub Copilot CLI from scratch. Offers interactive step-by-step tutorials with separate Developer and Non-Developer tracks, plus on-demand Q&A. Just say "start tutorial" or ask a question! Note: This skill targets GitHub Copilot CLI specifically and uses CLI-specific tools (ask_user, sql, fetch_copilot_cli_documentation).

AI impact score: 2 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

copilot-instructions-blueprint-generator

✓★ 36,202

by github

Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

copilot-sdk

✓★ 36,202

by github

Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.Free
github avatar

copilot-spaces

✓★ 36,202

by github

Use Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a "Copilot space", want to load context from a shared knowledge base, discover available spaces, or ask questions grounded in curated project documentation, code, and instructions.

AI impact score: 2 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

copilot-usage-metrics

✓★ 36,202

by github

Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.

AI impact score: 2 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.Free
github avatar

cosmosdb-datamodeling

✓★ 36,202

by github

Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-agentsmd

✓★ 36,202

by github

Prompt for generating an AGENTS.md file for a repository

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-architectural-decision-record

✓★ 36,202

by github

Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-github-action-workflow-specification

✓★ 36,202

by github

Create a formal specification for an existing GitHub Actions CI/CD workflow, optimized for AI consumption and workflow maintenance.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-github-issue-feature-from-specification

✓★ 36,202

by github

Create GitHub Issue for feature request from specification file using feature_request.yml template.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-github-issues-feature-from-implementation-plan

✓★ 36,202

by github

Create GitHub Issues from implementation plan phases using feature_request.yml or chore_request.yml templates.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-github-issues-for-unmet-specification-requirements

✓★ 36,202

by github

Create GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-implementation-plan

✓★ 36,202

by github

Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-llms

✓★ 36,202

by github

Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-readme

✓★ 36,202

by github

Create a README.md file for the project

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-specification

✓★ 36,202

by github

Create a new specification file for the solution, optimized for Generative AI consumption.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-spring-boot-java-project

✓★ 36,202

by github

Create Spring Boot Java Project Skeleton

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeSetup details
github avatar

create-spring-boot-kotlin-project

✓★ 36,202

by github

Create Spring Boot Kotlin Project Skeleton

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeSetup details
github avatar

create-technical-spike

✓★ 36,202

by github

Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

create-tldr-page

✓★ 36,202

by github

Create a tldr page from documentation URLs and command examples, requiring both URL and command name.

AI impact score: 2 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

creating-oracle-to-postgres-master-migration-plan

✓★ 36,202

by github

Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracle dependencies.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

creating-oracle-to-postgres-migration-bug-report

✓★ 36,202

by github

Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.

AI impact score: 2 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

creating-oracle-to-postgres-migration-integration-tests

✓★ 36,202

by github

Creates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation tests.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeSetup details
github avatar

csharp-async

✓★ 36,202

by github

Get best practices for C# async programming

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

csharp-docs

✓★ 36,202

by github

Ensure that C# types are documented with XML comments and follow best practices for documentation.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

csharp-mstest

✓★ 36,202

by github

Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeSetup details
github avatar

csharp-nunit

✓★ 36,202

by github

Get best practices for NUnit unit testing, including data-driven tests

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

csharp-tunit

✓★ 36,202

by github

Get best practices for TUnit unit testing, including data-driven tests

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

csharp-xunit

✓★ 36,202

by github

Get best practices for XUnit unit testing, including data-driven tests

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
github avatar

daily-prep

✓★ 36,202

by github

Prepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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