Minimal AI coding agent team skills for the full engineering workflow.
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.
AI-native engineering workflow skills for Claude and Codex — repo-backed PRD-to-code orchestration, milestone delivery, and validation.
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.
Tool to simplify the C++ development
Streamline your software delivery with a production-ready engineering workflow. Automated semantic versioning, changelog generation (via git-cliff), and GitHub release publishing.
A practical operating model for AI-assisted software engineering using tools like Cursor, Claude and structured development workflows.
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
A practical AI skill pack for architects, tech leads, and fullstack engineers.
My own Claude Code agents for Frontend Development. Specialized, measured, practical.
Manus Project OS. Structured framework for building large software systems with AI-assisted engineering.
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