What problem does it solve?
This Skill helps you safely reconcile work that happened across multiple parallel AI or human-assisted sessions when their outputs overlap, disagree, or leave the project state unclear. It prevents conflicting handoffs, duplicated effort, and incorrect assumptions from becoming the new source of truth.
Core Features & Use Cases
- Parallel session reconciliation: Compares the current governed project state with pasted outputs, notes, or artifacts from other agents and sessions.
- Conflict detection and resolution: Identifies overlaps, contradictions, and disputed claims, then applies a source-of-truth hierarchy so verified code and tests outrank weaker narrative sources.
- Canonical state updates: Produces a merged view of PLAN, OPEN-PROBLEMS, MEMORY, and HANDOFF records while preserving auditability and requiring user intervention for unresolved conflicts.
- Use Case: If Claude worked on one bugfix branch while GPT analyzed the same issue in parallel, this Skill can inventory both outputs, surface contradictions, and prepare a clean merged handoff for the next session.
Quick Start
Ask the AI to use parallel-session-merge to compare the current project state with the pasted output from another agent and produce a merged handoff with any disputes clearly flagged.