engineering-workflow

Публичный пакет инженерных skills для Codex

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

面向汽车空调热舒适的大模型驱动 Agent 智能系统。

Tool to simplify the C++ development

Evidence-grounded editable technical route diagrams for research and engineering projects.

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

AI-native engineering workflow system focused on bounded engineering cognition for real-world software development.

Engineering agent workflow pack: 92 Hermes skills, 10 profiles, evidence-gated execution

AI development pipeline for Cursor Agent — orchestrates the full delivery lifecycle from Jira ticket to open PR using 12 scoped skills, persistent state, and optional GitHub/Jira integrations.

A vault-backed engineering loop for Claude Code: lanes, phases, executed gates, and four blind reviewers.

Structured multi-AI engineering workflow using adversarial review, persistent context, and human-governed development.

A Human & Machine readable audit trail. Engineers need it because it prevents the two common failure modes of agent driven development: Agents make changes but nobody can quickly tell what changed, why, and whether it passed checks Work cannot be reliably resumed, reviewed, or automated because state and logs are scattered

Portable intelligence for AI agents. TARS is a repository of skills, tools, prompts, workflows, and agent behaviors that travel with me across projects and machines. Because every agent deserves a personality slider.