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VisActor AI Skills

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

Statistiques de l’auteur

Skills indexés

7

Étoiles des dépôts des skills indexés

12,336

Forks du dépôt

1,428

Moyenne des étoiles par skill indexé

1,762

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

7 skills

Explorer

GitHub

auto-test

VisActor

Automates unit testing for incremental code changes in the VChart project. Use this skill to automatically generate and run tests for your modifications against a base branch (default: develop). It identifies c...

GitHub

create-branch

VisActor

Creates a new development branch in the VChart project following standard naming conventions. Use this skill to start new work on a clean, synchronized branch based on a specified base branch (default: develop)...

GitHub

pr-body-generate

VisActor

Generates a well-formed Pull Request body for the VChart project based on its template. Use this skill to automatically populate the PR body with details like linked issues, changelog entries, self-test checkli...

GitHub

auto-flow

VisActor

Orchestrates a complete, standardized workflow for preparing a pull request in the VChart project. Use this skill to run a sequence of tasks: automated testing, changelog generation, smart commit, PR body creat...

GitHub

pr-create-from-body

VisActor

Creates a GitHub Pull Request for the VChart project using a local markdown file as its body. This skill exclusively uses a logged-in `gh` CLI environment to operate.

GitHub

commit-smart

VisActor

Creates a well-formed, intelligent Git commit for all pending changes in the VChart project. Use this skill to bundle your work into a single, clean commit that follows Conventional Commits standards. It automa...

GitHub

changelog-rush-smart

VisActor

Generates standardized changelog entries for a Rush-based monorepo like VChart. Use this skill to create changelog files based on Git commits since a base branch (default: develop). It intelligently determines...

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.