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mattgierhart

PRD-driven Context Engineering: A systematic approach to building AI-powered products using progressive documentation and context-aware development workflows

bankielewicz

managing-finances is a spec-driven development framework for financial planning, utilizing 26+ specialized subagents and enforcing zero technical debt from ideation to release.

tatargabor

Tools for managing context, focus, and parallel work in AI-assisted development. Designed for multi-project workflows, long-running tasks, and human-AI collaboration.

eitatech

GatomiA - Agentic Spec-Driven Development Tool

causify-ai

Causify development system

affaan-m

Continuous-learning is a skill that automatically evaluates Claude Code sessions to extract reusable patterns and saves them as learned skills for future use.

affaan-m

agent-harness-construction is a developer skill for designing and optimizing AI agent action spaces, tool definitions, and observation formatting. It focuses on core constraints like action space quality and recovery quality to achieve higher completion rates for agents like Claude.

affaan-m

nanoclaw-repl is a zero-dependency, session-aware REPL built on Claude for operating and extending the NanoClaw v2 AI agent. It features persistent markdown-backed sessions, dynamic skill loading, session branching, history compaction, and export capabilities to MD, JSON, and TXT formats.

affaan-m

agentic-engineering is an AI agent skill for engineering workflows that uses an eval-first execution loop, decomposes work into agent-sized units, and routes model tiers by task complexity to enforce quality and risk controls.

affaan-m

C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.

affaan-m

Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.

affaan-m

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.