github/awesome-copilot

AI Prompt Engineering Safety Review analyzes AI prompts for safety, bias, security vulnerabilities, and effectiveness, then provides structured improvement recommendations using systematic frameworks and testing methodologies.

AI Readiness Assessment runs the AgentRC readiness scan on a repository and generates a static HTML dashboard at reports/index.html with maturity level, score, pillar breakdowns, and remediation plan. Use it when asked to audit, score, or assess the AI readiness of a codebase.

AI Ready guides users to install and review the ai-ready skill. After installation, the skill analyzes the codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, and issue templates tailored to the stack.

AI Team Orchestration bootstraps and runs a lightweight multi-agent development team with producer, developer, and optional QA roles. Use it for project planning, implementation, independent testing, brainstorming, and preserving context across sessions.

Acquire Codebase Knowledge scans a repository and produces seven documentation files covering stack, structure, architecture, conventions, integrations, testing, and concerns. Use it when you need to map, document, or onboard into an existing codebase.

Ad Campaign Analyzer turns raw ad campaign performance data into clear decisions on what to cut, scale, and test. Use it to diagnose wasted ad spend, identify top performers, check statistical significance, and reallocate budget across channels.

Add Educational Comments annotates code files with educational explanations, following configurable detail, repetitiveness, and knowledge levels. Use it to turn source code into a learning resource while preserving syntax and encoding.

Adobe Illustrator Scripting covers writing, debugging, and optimizing Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use it when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects.

Agent Governance provides patterns for adding safety, trust, and policy enforcement to AI agent systems. Use when building agents that call external tools, need audit trails, or require policy-based access controls.

Agent OWASP Compliance checks an AI agent codebase against the OWASP ASI Top 10 risks and reports which security controls are present or missing. Use it before production deployment or in a security audit to map controls and generate a compliance report.

Agent Skill Stack finds, evaluates, and assembles the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use it when planning multi-step workflows, auditing installed skills, checking conflicts, or building a project-specific Skill Stack.

Agent Supply Chain Integrity generates SHA-256 integrity manifests for AI agent plugins and verifies that installed files match those manifests, detecting tampering, missing files, or untracked changes. Use it before promoting plugins, during code review, or as a CI step to audit dependency pinning and establish provenance.

AgentRC Policies help you pick, write, or apply JSON policies that change readiness scoring by disabling checks, overriding impact or level, and setting pass-rate thresholds. Use it for strict mode, AI-only scoring, org standards, or CI gating.

Agentic Evaluation provides patterns and techniques for evaluating and improving AI agent outputs through iterative reflection, evaluator-optimizer loops, and rubric-based scoring. Use it when building quality-critical generation, test-driven code refinement, or LLM-as-judge systems.

Anti UI Slop guides building and reviewing web or iOS interfaces so they are product-specific and complete in states and accessibility. It uses UIZZE’s catalogue of over 800,000 real screens to extract transferable design decisions and enforces a finish gate before shipping.

App Insights Instrumentation adds Azure App Insights telemetry to a web app so developers can observe its health. Use it when you want to enable telemetry or monitoring for an ASP.NET Core, Node.js, or Python web application hosted in Azure.

Apple App Store Review Specialist audits an iOS app’s source code and metadata against Apple App Store Review Guidelines, producing prioritized rejection risks and optimization recommendations.

Arch Linux Triage diagnoses and resolves Arch Linux issues using pacman, systemd, and rolling-release best practices. Use it to get step-by-step triage, remediation, validation, and rollback commands for problems on Arch systems.

Architecture Blueprint Generator analyzes a codebase to produce detailed architectural documentation, detecting technology stacks and patterns, generating diagrams, and documenting implementation patterns for maintaining consistency.

Arduino Azure IoT Edge Integration designs and implements secure connectivity between Arduino devices and Azure IoT Hub/Edge, including provisioning, telemetry, command handling, and production guardrails. Use it when connecting Arduino-class devices to Azure in edge-heavy scenarios with intermittent connectivity.

Arize AI Provider Integration creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features.

Arize Annotation creates and manages annotation configs (label schemas) and annotation queues (human review workflows) on Arize, and applies human annotations to project spans via the Python SDK. Use it when setting up human feedback, label schemas, or bulk span annotations.

Arize Dataset creates, manages, and queries Arize datasets and examples, covering CRUD, appending examples, exporting data, and file-based dataset creation with the ax CLI. Use when the user needs evaluation data or mentions create, list, export, append, or dataset version.

Arize Evaluator creates and runs LLM-as-judge evaluators on Arize, including setting up evaluator templates, running evaluations on spans or experiments, and managing tasks and column mappings. Use it when working with hallucination, faithfulness, correctness, relevance, or other LLM quality metrics.

Generate AI Agent Instructions creates tailored instruction files for AI coding agents using AgentRC's instructions command, including .github/copilot-instructions.md and scoped per-area .instructions.md files. Use it after an assessment to close gaps in AI tooling.