Agent Skills
Instruction packs that give your AI agent know-how. Three different kinds — pick the right one below.
✦ Standalone skills4,610
Self-contained. Install one into any project and it works on its own — no other software needed.
🧰 Tool add-ons1,006
Come bundled with a specific tool and only work together with it — they teach your agent how to operate that tool.
ai-ready
✓★ 36,202by github
Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".
ssma-console
✓★ 36,202by github
Use when: SSMA console operations — create project, generate assessment report, convert schema, migrate data, Oracle to SQL Server migration, schema conversion, data migration
arize-dataset
✓★ 36,202by github
Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.
qdrant-horizontal-scaling
✓★ 36,202by github
Diagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.
aspnet-minimal-api-openapi
✓★ 36,202by github
Create ASP.NET Minimal API endpoints with proper OpenAPI documentation
agent-supply-chain
✓★ 36,202by github
Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verif
copilot-spaces
✓★ 36,202by 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.
mvvm-toolkit
✓★ 36,202by github
CommunityToolkit.Mvvm (the MVVM Toolkit) core: source generators ([ObservableProperty], [RelayCommand], [NotifyPropertyChangedFor], [NotifyCanExecuteChangedFor], [NotifyDataErrorInfo]), base classes (ObservableObject / ObservableValidator / ObservableRecipient), commands (RelayCommand / AsyncRelayCommand), and validation. Companion skills: mvvm-toolkit-messenger for pub/sub, mvvm-toolkit-di for Microsoft.Extensions.DependencyInjection wiring. Works across WPF, WinUI 3, MAUI, Uno, and Avalonia.
create-github-issues-feature-from-implementation-plan
✓★ 36,202by github
Create GitHub Issues from implementation plan phases using feature_request.yml or chore_request.yml templates.
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 scena
create-github-issues-for-unmet-specification-requirements
✓★ 36,202by github
Create GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.
qdrant-search-quality-diagnosis
✓★ 36,202by github
Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', or 'quality dropped after quantization'. Also use when search quality degrades without obvious changes.
dataverse-python-advanced-patterns
✓★ 36,202by github
Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
tldr-prompt
✓★ 36,202by github
Create tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.
debian-linux-triage
✓★ 36,202by github
Triage and resolve Debian Linux issues with apt, systemd, and AppArmor-aware guidance.
aws-cloudwatch-investigation
✓★ 36,202by github
Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage.
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.
aws-cost-optimize
✓★ 36,202by github
Analyze AWS resources used in the app (IaC files and/or resources in a target account/region) and optimize costs - creating GitHub issues for identified optimizations.
exam-ready
✓★ 36,202by github
Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam. Extracts key definitions, points, keywords, diagrams, exam-ready sentences, and practice questions strictly from the provided material.
dotnet-mcp-builder
✓★ 36,202by github
Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 1.x NuGet packages. Especially helps with cases the model often gets wrong without guidance — stale preview versions (it tends to pick 0.3 or 0.4 preview), MCP Apps (interactive UI rendered in the host), elicitation URL mode, per-session HTTP wiring, OAuth and reverse-proxy deploy specifics, and debugging concrete MapMcp / STDIO / Streamable-HTTP errors. Also covers the routine work — STDIO and Streama
first-ask
✓★ 36,202by github
Interactive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.
autoresearch
✓★ 36,202by github
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy''s autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, auto
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.
create-implementation-plan
✓★ 36,202by github
Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
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.
incident-postmortem
✓★ 36,202by github
Use when an outage, production incident, or significant service degradation has occurred and the team needs to write a structured blameless post-mortem. Triggers on phrases like "write a post-mortem", "incident review", "what went wrong", "outage report", "root cause analysis", or "RCA". Covers timeline reconstruction, contributing factor analysis, impact quantification, and action item generation with owners.
git-commit
✓★ 36,202by github
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
lsp-setup
✓★ 36,202by github
Enable code intelligence (go-to-definition, find-references, hover, type info) for any programming language by installing and configuring an LSP server for Copilot CLI. Detects the OS, installs the right server, and generates the JSON configuration (user-level or repo-level). Use when you need deeper code understanding and no LSP server is configured, or when the user asks to set up, install, or configure an LSP server.
github-release
✓★ 36,202by github
Guides IA through releasing a new version of a GitHub library end-to-end. Handles SemVer versioning and Keep a Changelog formatting automatically.
qdrant-vertical-scaling
✓★ 36,202by github
Guides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.