Reconstruct project context and execution state from git history and state files.
npx skills add https://github.com/appautomaton/mlx-speech --skill auto-resume
Please help me install this Agent Skill. Skill: auto-resume Source: https://github.com/appautomaton/mlx-speech/tree/main/.claude/skills/auto-resume Command: npx skills add https://github.com/appautomaton/mlx-speech --skill auto-resume
This Skill solves the problem of lost context and fragmented progress in long-running AI-assisted projects by rebuilding the state from durable artifacts rather than relying on unreliable memory.
Run the auto-resume skill to rebuild the project context and identify the next required action from the current state.
High-intent search queries and answers about installing and using this skill.
To restore project context, this Skill automatically reconstructs the active change, current stage, and pending tasks from durable artifacts and git history. It matches file system status against the canonical plan to identify exactly where work was interrupted.
Yes, rebuilding execution state requires access to the .agent directory and standard git CLI tools. These dependencies are necessary to verify the integrity of the execution ledger and reconcile current progress against the project plan.
The best way to recover pending reviews is through execution ledger reconciliation. This process matches git history against the project plan to surface pending tasks and determine the precise next step without manual re-briefing.
Yes, this Skill uses Node to automatically reconstruct the last completed slice. It reconciles durable state files to identify completed work and facilitate seamless session re-entry for multi-stage development workflows.
AI agents lose context in long-running projects due to unreliable memory. This Skill prevents manual re-briefing by rebuilding state from durable artifacts, allowing the agent to immediately identify the last completed slice and pending tasks.
You should not rely on durable artifacts for state recovery if your project lacks a canonical plan or git history. Without these elements, the Skill cannot reconcile the execution ledger or verify the integrity of your progress.
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