engineering-workflow

Публичный пакет инженерных skills для Codex

Stateful agentic engineering workflow for local coding agents

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

Tool to simplify the C++ development

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

A practical, evidence-driven workflow for long-running AI engineering, with persistent task ownership, specialist reviews, repository-backed state, and explicit completion gates.

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

An engineering system for AI coding agents. Gated workflow, persistent state, and a definition of done that requires evidence.

Codex skill for cross-session engineering workflow, handoffs, acceptance, and repo coordination.

A Vibe Coding governance skill that keeps projects from turning into unmaintainable AI-generated messes by setting up clear docs, reusable project knowledge, quality gates, independent review, testing, observability, and rollback-ready workflows from day one.

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

Daily Codex engineering briefs with token stats, yesterday comparisons, and next actions.

Canonical FlapPearLabs agent engineering governance and portable bootstrap baseline.

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.

A supervised engineering flow for AI coding agents whose record cannot be faked.

三层知识库 + 领域专家助手 Skill：把技术方向的资料建成可溯源知识库，产出汇报/PPT/会议提纲/论文/专利交底书。为弱模型与受限内网环境设计。

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.

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

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