Research and Audits

bmad-orchestrator 's default execution path is Claude Code. To run the same flow directly in Codex, we recommend operating BMAD stages via a higher-level orchestration path such as omx / ohmg .

Source details, install context, and public review data are available on the full page.

Source details, install context, and public review data are available on the full page.

Source details, install context, and public review data are available on the full page.

Source details, install context, and public review data are available on the full page.

Source details, install context, and public review data are available on the full page.

LLMs are trained as Causal Language Models , where each token attends only to previous tokens . This leads to:

Source details, install context, and public review data are available on the full page.

Deploy any project to Vercel instantly. No authentication required.

Source details, install context, and public review data are available on the full page.

Create original knowledge comics with flexible art style × tone combinations.

Two dimensions: layout (information structure) × style (visual aesthetics). Freely combine any layout with any style.

Posts text, images, videos, and long-form articles to X via real Chrome browser (bypasses anti-bot detection).

Source details, install context, and public review data are available on the full page.

Universal release workflow supporting any project type with multi-language changelog.

"An AI agent that learns from every interaction, accumulating patterns and insights to continuously improve its own capabilities." — Based on 2025 lifelong learning research

This skill validates Bicep deployments before execution, supporting both Azure CLI ( az ) and Azure Developer CLI ( azd ) workflows.

Transforms plain text or markdown into well-structured, reader-friendly markdown. The goal is to help readers quickly grasp key points, highlights, and structure — without changing any original content.

A specialized skill for controlling and inspecting a live Chrome browser. This skill leverages the chrome-devtools MCP server to perform a wide range of browser-related tasks, from simple navigation to complex performance profiling.

Before implementing any changes, analyze the codebase and create a context map.

Source details, install context, and public review data are available on the full page.

Embed Copilot's agentic workflows in any application using Python, TypeScript, Go, or .NET.

Create GitHub Pull Request for the specification at ${workspaceFolder}/.github/pull_request_template.md .

Create a new llms.txt file from scratch in the root of the repository following the official llms.txt specification at . This file provides high-level guidance to large language models (LLMs) on where to find relevant content for understanding the repository's purpose and specifications.