Orchestrate cross-AI peer reviews of project phase plans via external CLI tools.
npx skills add https://github.com/nnexai/git-stacks --skill gsd-review-nnexai
Please help me install this Agent Skill. Skill: gsd-review Source: https://github.com/nnexai/git-stacks/tree/main/.codex/skills/gsd-review Command: npx skills add https://github.com/nnexai/git-stacks --skill gsd-review-nnexai
This skill addresses the lack of objective validation in AI-generated project plans by orchestrating multi-model peer reviews to identify gaps, risks, and logical inconsistencies before execution.
Invoke the gsd-review skill with the --all flag to trigger a comprehensive peer review of the current phase plan across all available AI models.
High-intent search queries and answers about installing and using this skill.
To run peer code review on AI-generated phase plans, invoke the gsd-review skill with the --all flag, which orchestrates multi-agent execution across various AI CLI tools to validate technical workflows. It automatically aggregates diverse model feedback into a unified report.
Multi-agent orchestration for collaborative validation involves invoking multiple external AI CLI tools to critique project phase plans. This mechanism aggregates diverse AI perspectives into a structured REVIEWS.md file to identify gaps, risks, and logical inconsistencies before execution.
Yes, you can use multiple AI agents like Gemini and Claude to validate software architecture feasibility. The skill orchestrates cross-AI peer reviews by invoking specialized models to ensure technical feasibility and security compliance for complex phase plans.
Yes, you need specific AI CLI environments installed to aggregate feedback from diverse models. The multi-CLI orchestration requires integration with these environments and adherence to defined agent-spawning protocols to execute multi-model reviews successfully.
The best way to identify logical inconsistencies in technical workflows before execution is cross-AI peer review. This approach automatically invokes various AI agents to critique phase plans, aggregating objective feedback into a structured REVIEWS.md file for actionable planning.
Multi-model code review requires defined agent-spawning protocols to safely facilitate collaborative validation across different external AI CLI tools. These protocols ensure the multi-agent orchestration correctly invokes targets and aggregates structured feedback without execution conflicts.
zeptillionairplexReference OMC agent catalog, tool integrations, and team orchestration commands.
dobrinz123Invoke Gemini, Claude, Codex, and OpenCode CLIs to generate per-reviewer feedback and write REVIEWS.md.
tinner-deinnoGenerate cross-AI peer reviews of phase plans into REVIEWS.md.
ruvnetCoordinate multi-agent code reviews for GitHub pull requests.
