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.
Manus Project OS. Structured framework for building large software systems with AI-assisted engineering.
My own Claude Code agents for Frontend Development. Specialized, measured, practical.
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