Does this skill require external tools?

Yes, it integrates with the mermaid-collab MCP server to perform document updates, state management, and visual diagram patching.

Why are snapshots necessary?

Snapshots preserve the skill's state and progress across context compaction events, ensuring that Claude doesn't lose track of completed tasks or pending implementation waves during long sessions.

How does the skill handle implementation deviations?

When drift is detected, the skill analyzes the change and presents a report with pros, cons, and a recommendation. You can then choose to reject the change, accept it (which updates the design doc), or discuss it further.

What is drift detection in this context?

Drift detection is the automated process of identifying discrepancies between your original design document (signatures, logic, scope) and the actual code implemented by the AI.

Plan Execution & Drift Detection

Name: Plan Execution & Drift Detection
Author: ben-mad-jlp

byben-mad-jlp

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Herramientas de Colaboración

Verifies code implementations against design documents while managing project state through automated drift detection and visual progress tracking.

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The Execution Plan Reviewer skill provides a robust framework for monitoring the execution of complex development plans within Claude Code. It automates verification tasks by comparing implemented code against design specifications, detecting 'drift' or deviations, and maintaining real-time Mermaid diagrams to visualize progress. By integrating snapshot logic for session recovery and providing structured drift analysis with pros and cons, it ensures that implementation remains aligned with the original architectural intent while allowing for managed evolution of the design through interactive user feedback.

Características Principales

1 GitHub stars
Interactive drift resolution workflows with impact analysis
Structured per-task and per-wave verification logic
Context snapshot saving for session recovery and compaction resilience
Automated drift detection between design documents and source code
Real-time Mermaid diagram updates for visual task progress

Casos de Uso

Managing state recovery during long-running development tasks in Claude Code
Visualizing complex project milestones via real-time collaboration diagrams
Maintaining strict alignment between architectural design and implementation

Acerca de

Características Principales

1 GitHub stars
Interactive drift resolution workflows with impact analysis
Structured per-task and per-wave verification logic
Context snapshot saving for session recovery and compaction resilience
Automated drift detection between design documents and source code
Real-time Mermaid diagram updates for visual task progress

Casos de Uso

Managing state recovery during long-running development tasks in Claude Code
Visualizing complex project milestones via real-time collaboration diagrams
Maintaining strict alignment between architectural design and implementation