GulajavaMinistudio

AI-Guided Learning mentor. Guides the user step-by-step to build and learn a new technology without writing the final code for them.

Standardized workflow for discovering, reading, writing, and compacting the project's memory file (memory.instructions.md) to persist context across AI chat sessions, with a permanent Knowledge Base for cross-session decisions and lessons learned.

Analyzes the last session to log progress, extract lessons learned, and save them to the project memory instructions.

Phase 6: Coding & Execution. God-Tier Autonomous Engineer implementing code strictly based on approved /spec/ and /plan/.

Test-Driven Development (TDD) and Incremental Implementation discipline. Use when implementing any feature or fixing bugs to enforce Red-Green-Refactor, vertical slicing, and atomic commits.

Language-agnostic workflow for code reviews and security audits using a Two-Axis (Standards vs Spec) approach against Clean Code/SOLID principles, generating formal refactoring plans.

Helps interrogate Product Requirements (PRD), Technical Specifications, and Implementation Plans to find ambiguities, missing edge cases, and hidden assumptions.

Generates formal, structured, and executable implementation plan documents based on specifications.

Performs consistency and traceability audits across documents (PRD vs Spec vs Plan) to detect missing coverage and scope creep.

Systematic codebase exploration, architectural critique, and generation of Project Discovery Drafts for SDLC Phase 0.

Workflow for analyzing bug reports, tracing root causes, and generating structured bug-fix implementation plans with rollback strategies.

Helps interrogate Product Requirements (PRD), Technical Specifications, and Implementation Plans to find ambiguities, missing edge cases, and hidden assumptions.

Workflow for auditing, designing, and writing structured documentation based on the Diátaxis Framework (Tutorials, How-to, Reference, Explanation).

Language-agnostic workflow for code reviews and security audits against Clean Code/SOLID principles, generating formal refactoring plans.

An advanced, autonomous AI agent skill designed to execute complex, multi-step, and long-horizon tasks with high reliability and minimal human interruption.

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

Standardized workflow for discovering, reading, and writing the project's memory file (memory.instructions.md) to persist context across chat sessions.

Helps interrogate Product Requirements (PRD) and Technical Specifications to find ambiguities, missing edge cases, and hidden assumptions.

Performs consistency and traceability audits across documents (PRD vs Spec vs Plan) to detect missing coverage and scope creep.

Standardized workflow for discovering, reading, and writing the project's memory file (memory.instructions.md) to persist context across chat sessions.

Workflow to generate a comprehensive Product Requirements Document (PRD) detailing user stories, acceptance criteria, technical considerations, and metrics.

Master Flutter development with Dart 3, advanced widgets, and multi-platform deployment. Handles state management, animations, testing, and performance optimization for mobile, web, desktop, and embedded platforms. UsePROACTIVELY for Flutter architecture, UI…

Flutter development skill for Miqotul Khoir TV (MKT) project. Use for: implementing new Flutter features, fixing UI bugs, modifying widgets, creating Cubit state management, working with Android TV D-Pad navigation, debugging widget issues, adding…

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.