Emasoft

Managing plugin releases manually is error-prone and inconsistent. This skill automates the entire release workflow including version bumps, git tags, commit messages, and GitHub releases with proper changelog links.

Manually creating and updating Table of Contents in markdown files is time-consuming and error-prone. This skill automatically generates and updates TOCs by parsing headers, supporting batch processing, configurable depth levels, and smart insertion modes.

AI agents lose context when conversations end. This skill uses GitHub Issues as permanent memory that survives context exhaustion and enables seamless collaboration across multiple sessions.

Managing multi-phase development workflows requires manually tracking and closing threads. This skill automates phase transitions in GitHub Elements, closing the current thread and opening the next phase thread with proper validation.

Developers often lose context when switching between GitHub issues during collaborative coding sessions. This skill enables natural language control over issue thread transcription, automatic state tracking, and seamless switching between multiple development contexts.

GitHub Elements users need quick visibility into their active threads and workflow state before starting work. This read-only skill provides an instant overview of active threads, phase distribution, and workflow health without modifying anything.

Managing feature requirements without a structured system leads to scope creep and misaligned implementations. This skill provides versioned markdown requirements files with automated GitHub issue linking and SERENA memory backup for persistent, traceable development workflows.

Users need detailed analysis of their GitHub Elements workflow performance. This skill generates comprehensive reports including metrics, health assessments, and epic-specific analysis to help teams understand their development velocity and identify areas for improvement.

Writing requirements documents can result in inconsistent and ambiguous specifications. This skill provides guidance patterns for different domains including mathematical specs, game mechanics, financial systems, distributed architectures, and security requirements.

GitHub issue management requires manual tracking of assignments and workflow state. This skill automates the claim process with validation, atomic assignment, and worktree setup for immediate development.

Users lose track of work state across sessions. This skill posts progress checkpoints to GitHub Issues, preserving work context and enabling seamless continuation without changing workflow phases.

Manually tracking project changes across releases is error-prone and time-consuming. This skill automates changelog generation by analyzing git commits, diffs, and file changes to categorize updates into features, fixes, requirements, and design decisions.