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mrstroz AI Skills

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Explorez les skills IA publiés de mrstroz et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

8

Étoiles des dépôts des skills indexés

8

Forks du dépôt

0

Moyenne des étoiles par skill indexé

1

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

8 skills

Explorer

GitHub

review-output

mrstroz

Defines the standard output format and template for architectural review reports. Use this skill to ensure consistent, comprehensive review report formatting for development plans and implementation proposals.

GitHub

task-output

mrstroz

Defines the standard output format and template for task creation. Use this skill when creating new tasks (stories, bugs, epics, subtasks) to ensure consistent, well-structured formatting with proper titles, go...

GitHub

discovery-output

mrstroz

Defines the format for presenting codebase exploration findings - existing patterns, dependencies, risks, and approach assessment (single vs multiple options).

GitHub

options-output

mrstroz

Defines the format for presenting implementation alternatives with trade-offs comparison table, pros/cons analysis, and clear recommendation.

GitHub

dev-plan-output

mrstroz

Defines the standard output format and template for creating development plans. Use this skill to ensure consistent, well-structured development plan formatting across any project type and technology stack.

GitHub

plan-output

mrstroz

Defines the layered output format for development plans (TL;DR, Approach, Tasks with dependencies). Ensures plans are readable at multiple levels - from executive summary to detailed implementation steps.

GitHub

task-clarifying-questions

mrstroz

Guidelines for gathering task requirements through focused clarifying questions. Use when creating tasks and the provided requirements are incomplete, ambiguous, or missing critical information like acceptance...

GitHub

pr-review-output

mrstroz

Defines the standard output format for aggregated PR review reports. Use this skill to format the combined output from all review agents into a unified, actionable report.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.