Can this skill handle both frontend and backend tasks?

Yes, it identifies which components are failing quality gates and launches the appropriate specialized sub-agents for backend, frontend, or Docker environments.

How does the Resume skill track my progress?

It reads a dedicated session metadata file located in the project's state directory to identify completed tasks, current phases, and pending quality gate requirements.

Does it support resuming specific named projects?

Yes, you can target a specific implementation by passing the project name as an argument to the resume command.

What happens if the session metadata is corrupted?

The skill includes fallback logic to reconstruct the session state by scanning existing code artifacts and project Kanban boards to determine the furthest point of progress.

Will it re-run every step from the beginning?

No, it checks which specifications and code files already exist and skips already completed phases to focus only on pending work and failing tests.

AIDA Session Resume

Name: AIDA Session Resume
Author: clearclown

byclearclown

Productividad y Flujo de Trabajo

Resumes interrupted AI-driven development sessions by restoring project state and quality gate progress.

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The AIDA Resume skill provides a robust state-management layer for long-running Claude Code tasks. It allows the AI to persist and restore progress during complex, multi-phase development cycles by reading session metadata and artifact states. Whether a project was interrupted by a timeout, crash, or manual stop, this skill identifies the current phase—from specification generation to implementation and testing—and automatically triggers the necessary sub-agents and quality gate protocols to finish the job without duplicating effort.

Características Principales

Smart routing to specialized sub-agents based on session needs
Automatic session state restoration from JSON metadata
Phase-aware execution logic for specs, implementation, and testing
Automated quality gate enforcement and failure-correction loops
0 GitHub stars
State reconstruction from project artifacts and Kanban files

Casos de Uso

Verifying project completion status and pending tasks across work sessions
Automating the handoff between design specifications and code generation phases
Continuing complex multi-file implementations after session timeouts

Acerca de

Características Principales

Smart routing to specialized sub-agents based on session needs
Automatic session state restoration from JSON metadata
Phase-aware execution logic for specs, implementation, and testing
Automated quality gate enforcement and failure-correction loops
0 GitHub stars
State reconstruction from project artifacts and Kanban files

Casos de Uso

Verifying project completion status and pending tasks across work sessions
Automating the handoff between design specifications and code generation phases
Continuing complex multi-file implementations after session timeouts