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PythonReactSEOPDF

pcortes AI Skills

GitHub ↗

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

Statistiques de l’auteur

Skills indexés

34

Étoiles des dépôts des skills indexés

0

Forks du dépôt

0

Moyenne des étoiles par skill indexé

0

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

34 skills

Explorer

GitHub

qa-behavioral-tester

pcortes

Executes behavioral API tests by spinning up the service and making real HTTP requests. Validates status codes, response structure, and data correctness.

GitHub

feature-spec-critic

pcortes

Review and score engineering specs against a startup-focused quality rubric. Penalize over-engineering and reward simplicity.

GitHub

backlog-champion

pcortes

Champion prioritization of discovered opportunities. Advocates for the most impactful, actionable items based on team velocity, business value, and technical feasibility.

GitHub

coder

pcortes

Implementation Agent: Full TDD workflow in a single context window. Writes tests, implements code, and iterates until all tests pass.

GitHub

feature-spec-moderator

pcortes

Chief Architect review - critically evaluate peer feedback on an engineering spec. Integrate valid suggestions, push back on scope creep, and maintain alignment with the PRD. Enforce startup simplicity.

GitHub

feature-verifier

pcortes

Analyze test failures and suggest fixes for Feature Swarm verification. Use when tests fail during the verification phase to diagnose root cause and determine if automatic recovery is possible.

GitHub

issue-creator

pcortes

Generate GitHub issues from an approved engineering specification. Use to break down a spec into implementable, atomic tasks with dependencies, sizing, and labels.

GitHub

issue-validator

pcortes

Validate generated GitHub issues for completeness and implementability. Reviews each issue for clear scope, actionable acceptance criteria, and sufficient context for implementation.

GitHub

refactor-moderator

pcortes

Synthesizes analyst findings with critic feedback. Produces final recommendations and generates TDD-compatible refactor plans for approved issues.

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.