Formalizes the process of flagging AI session issues for human intervention and detailed review.
The Human Escalation Workflow skill provides a structured mechanism for Claude to identify limitations and request human assistance during complex development sessions. By capturing critical metadata such as severity levels, specific triggers, relevant artifacts, and decision paths, it ensures that human reviewers have all the necessary context to resolve blockers. This skill automates the creation of detailed escalation records in Markdown format and logs the hand-off process, making it essential for teams implementing semi-autonomous AI workflows where human-in-the-loop oversight is required.
Key Features
010 GitHub stars
02Support for artifact linking to provide reviewers with immediate context
03Configurable severity levels to prioritize human intervention
04Integration with telemetry for logging work and session status
05Automated generation of standardized Markdown escalation reports
06Deterministic indexing for managing multiple escalations within a session
Use Cases
01Flagging ambiguous requirements or edge cases that require human clarification
02Reporting persistent errors or failures that the AI cannot resolve autonomously
03Documenting hand-off points in a hybrid AI-human development pipeline
