Skip to main content

slice-agent-review-loop

Use after PR creation when requesting Codex or Copilot review.

Datos de origen

Repositorio
sunpar/agentic_development
Última actividad en el origen
29 de mayo de 2026 a las 23:59
Idioma detectado de SKILL.md
inglés
Estrellas
0
Forks
0

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

Explorador de archivos
4 archivos

Mostrando SKILL.md

SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
slice-agent-review-loop
description
Use after PR creation when requesting Codex or Copilot review.
# slice-agent-review-loop ## Trigger Use after PR creation when requesting Codex or Copilot review. ## Inputs - target repository path or current repository - optional focus areas - optional exclusions - relevant factory artifacts when available ## Procedure - Read repository instructions such as AGENTS.md first. - Prefer Superpowers workflows when installed and relevant. - Prefer OpenAI curated GitHub skills for PR comments and CI when available. - For orchestrated slice PRs, request Codex and Copilot reviews in parallel unless the user narrows the agent set. - Wait independently for each requested agent until review activity appears or the configured timeout elapses; the standard timeout is 10 minutes per agent. - Stay within the requested scope. - Record evidence, assumptions, unknowns, and verification commands. - Do not perform mutating actions unless this skill's role explicitly requires mutation. ## Outputs Write outputs under `docs/agentic-system/` in the target repository unless the user requests another location. Follow the schemas in `~/.codex/codebase-review-factory/schemas/`. ## References - references/codex-review-policy.md - references/copilot-review-policy.md - references/review-comment-resolution.md
Ver en GitHub