execution-report

Generates a structured implementation report reflecting on a just-completed feature — what was done, divergences, challenges. Use right after finishing an implementation, as the input to a system review.

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Repositorio: coleam00/ai-native-starter-pack
Última actividad en el origen: 21 de mayo de 2026 a las 20:01
Idioma detectado de SKILL.md: inglés
Estrellas: 65
Forks: 23

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.

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

npx skills add https://github.com/coleam00/ai-native-starter-pack --skill execution-report

El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.

¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

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

SKILL.md

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spec

Slice an epic or next-epic doc into PIV-sized tickets with a dependency graph. Turns a large strategic doc into the discrete units of work that the PIV loop consumes. Accepts a Confluence page id OR a local PRD/epic doc path; optionally cross-references a Jira epic key. Writes the breakdown to docs/specs/ and, when the input was a Confluence page, publishes it back as a child page of the PRD. When a Jira epic key is passed, it also creates the tickets as issues under that epic, skipping any that already exist.

2026-07-29

agent-browser

Drive a real browser to validate web apps end-to-end. Use when you need to navigate to a URL, interact with UI elements, fill forms, click buttons, take screenshots, assert page state, or run a full end-to-end validation flow for a web feature. The primary tool for automated browser-based E2E testing in the AI Layer.

2026-05-24

create-rules

Derive the AI Layer's global rules (CLAUDE.md) and on-demand context modules FROM an existing codebase by analyzing its real structure, conventions, and patterns. Use on a brownfield codebase that has no CLAUDE.md yet (Brownfield Type A) to build the foundation of the AI Layer.

2026-05-24

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name	execution-report
description	Generates a structured implementation report reflecting on a just-completed feature — what was done, divergences, challenges. Use right after finishing an implementation, as the input to a system review.