11 skills found
gsd-build / get-shit-doneA light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
mrexodia / ida-pro-mcpAI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
ForLoopCodes / contextplusSemantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
m0n0x41d / quint-codeEngineering decisions engine that know when they're stale. Frame, compare, decide — with evidence decay and parity enforcement. For Claude Code, Cursor, Gemini CLI, Codex and more.
m0n0x41d / quint-codeEngineering decisions engine that know when they're stale. Frame, compare, decide — with evidence decay and parity enforcement. For Claude Code, Cursor, Gemini CLI, Codex and more.
PackmindHub / packmindPackmind seamlessly captures your engineering playbook and turns it into AI context, guardrails, and governance.
OutlineDriven / outline-driven-developmentOutline Driven Development – Beyond "specs" or "vibes" using AST analysis and Modern CLI Tools w/ context engineering; batteries-included
bralca / context-engineering-mcpContext Engineering is a MCP server that gives AI agents perfect understanding of your codebase. Eliminates context loss, reduces token usage, and generates comprehensive feature plans in minutes. Compatible with Cursor, Claude Code, and VS Code.
MadnessEngineering / OmnispindleA comprehensive MCP-based todo management system, that serves as a central nervous system for Madness Interactive, a multi-project task coordination workshop.
Metalnib / dotnet-episteme-skillsDotNet Episteme Skills - a curated, manual-first .NET AI skills library rooted in systematic knowledge (episteme) and shaped by disciplined craft (techne), designed for engineers who prioritise precision over hype.
hyhmrright / brooks-lintAI code reviews grounded in 10 classic engineering books — decay risk diagnostics with book citations, severity labels, and 4 analysis modes
