engineering-workflow

中文优先的 Vibe Coding / AI coding engineering workflow guide: specs, agents, worktrees, skills, CI, and review.

A workflow harness that helps AI coding agents plan, review, test, and ship safer code.

A structured enforcement system for AI-generated code. Turns predictable AI failure modes into architectural gates, static analysis halts, and runtime proof requirements. Preserves engineering intent AI assists, humans decide.

Публичный пакет инженерных skills для Codex

Autonomous software delivery with AI agents — your BACKLOG runs itself, guided by encoded engineering discipline. No sprints, no hand-holding.

GitHub Copilot chat modes for planning, implementation, code review, PRDs, and prompt optimization.

A mental framework for cutting through complexity. Establish baseline, isolate what matters, execute one change.

Modular engineering methodology framework for AI agents — reverse engineering & software development (core + re-binary / re-code / swe modules).

Stateful agentic engineering workflow for local coding agents

Think before you build. Universal AI engineering orchestration framework for Claude, Codex, Cursor, and Windsurf.

Loop Engineering workflow skill for Codex

A skill for AI agents that turns repos, requirements, and design state into durable, evidence-backed context — so multi-agent collaboration stops drifting.

Six-skill spec-driven engineering pod for Claude Code — scaffold specs, research, discover direction, generate design variants, implement, and visually verify, with hard handoffs that prevent silent assumptions

Portable Agent Skills for AI-assisted engineering workflows

Description: A structured engineering workflow skill for complex AI-assisted coding, coursework, data analysis, and research projects.

Engineering discipline for coding agents: size the work, keep every change on the record, verify against intent, never lose a session. Works in Claude Code, Codex, Cursor, and Gemini CLI.

Tool to simplify the C++ development

面向汽车空调热舒适的大模型驱动 Agent 智能系统。

🤖 Curated agent skills for AI agents — one coherent engineering loop that compounds: grill → spec → implement → review → commit → learn. Adopt it or fork it!

EngiFoundry / engifoundry: Engineering Foundry Skill for structured AI-assisted engineering workflows