Design GitHub Copilot-based agentic AI systems. Use when turning a user brief into a complete system with agents, prompts, skills, instructions, hooks, MCP integration, manifests, runbooks, and rollout guidance.
Parse AUTOSAR, MISRA, and similar C++ standards documents, extract rule records, map rule interactions, and synthesize a core guideline with canonical coding patterns and fix-order guidance.
Use when identifying and modeling task dependencies in a project plan. Covers building a Directed Acyclic Graph (DAG) of task relationships using Mermaid flowchart syntax, detecting dependency cycles, and computing the critical path. Applies to any task list…
Use when identifying, classifying, and mitigating project risks. Covers the full risk management workflow: brainstorming risks across five categories, scoring them on a probability × impact matrix, writing proactive mitigation strategies, reactive contingency…
Use when breaking a complex goal or project requirement into atomic, measurable, assignable tasks. Covers the full SMART decomposition workflow: understanding the goal, identifying deliverables, creating work packages, assigning ownership and duration, and…
Use when asked to create a new local MCP (Model Context Protocol) tool/server for GitHub Copilot — file readers, API wrappers, CLI integrations, or any capability that Copilot cannot do natively. Covers the full workflow: Python MCP server implementation,…
Use when asked to generate a git commit message for a code change. Reads the diff (unstaged or staged), infers the commit type and scope from the changed files, then produces a commit message that matches the project's convention — either from a…
Use when writing, reviewing, or debugging AIDL (Android Interface Definition Language) interface files for IPC between Android processes. Covers .aidl syntax, primitive and Parcelable types, oneway modifier, directional parameters, versioning and stability,…