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Skills IA Outils

Découvrez les skills Outils, comparez leurs dépôts et consultez leurs instructions.

Catégories: Outils

21,337–21,360 sur 87,268

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GitHub

plan-builder

majesticlabs-dev

Write implementation plans with appropriate templates based on complexity. Provides minimal, standard, and comprehensive templates for different scope levels.

GitHub

minitest-coder

majesticlabs-dev

This skill guides writing comprehensive Minitest tests for Ruby and Rails applications. Use when creating test files, writing test cases, or testing new features. Covers both traditional and spec styles, fixtur...

GitHub

blueprint-research

majesticlabs-dev

Research phase for blueprint workflow - toolbox resolution, lessons discovery, and parallel research agents

GitHub

calendar-optimization

majesticlabs-dev

Balance the 4 types of professional time (Management, Creation, Consumption, Ideation). Use when discussing productivity, calendar management, time allocation, or work-life balance.

GitHub

solid-queue-coder

majesticlabs-dev

Use when configuring or working with Solid Queue for background jobs. Applies Rails 8 conventions, database-backed job processing, concurrency settings, recurring jobs, and production deployment patterns.

GitHub

proposal-writer

majesticlabs-dev

Templates and frameworks for creating winning sales proposals. Executive summaries, scope of work, pricing strategies, and closing elements.

GitHub

first-principles

majesticlabs-dev

Apply first-principles thinking to break down complex problems into fundamental truths and rebuild solutions from the ground up. Use when solving strategic decisions, breaking through blockers, or challenging a...

GitHub

etl-core-patterns

majesticlabs-dev

Core ETL reliability patterns including idempotency, checkpointing, error handling, chunking, retry logic, and logging.

GitHub

llms-txt-builder

majesticlabs-dev

Create llms.txt files that help AI systems navigate and understand your site structure for better citations.

GitHub

rspec-coder

majesticlabs-dev

This skill guides writing comprehensive RSpec tests for Ruby and Rails applications. Use when creating spec files, writing test cases, or testing new features. Covers RSpec syntax, describe/context organization...

GitHub

keyword-research

majesticlabs-dev

Strategic content planning without expensive tools. 6 Circles Method to find what to write about and prioritize it.

GitHub

rails-debugger

majesticlabs-dev

Use proactively when encountering Rails errors, test failures, build issues, or unexpected behavior. Analyzes errors, reproduces issues, and identifies root causes.

GitHub

referral-program

majesticlabs-dev

Design viral referral programs with incentive structures, sharing mechanics, tracking systems, and optimization strategies to turn customers into advocates who drive new customer acquisition.

GitHub

action-policy-coder

majesticlabs-dev

Use proactively for authorization with ActionPolicy. Creates policies, scopes, and integrates with GraphQL/ActionCable. Preferred over Pundit for composable, cacheable authorization.

GitHub

readme-craft

majesticlabs-dev

Production-grade README.md patterns for any project type. Use when creating project documentation, writing README files, or improving existing docs. Covers hero sections, quick start examples, comparison tables...

GitHub

gem-builder

majesticlabs-dev

Comprehensive guide for building production-quality Ruby gems. Use when creating new gems, structuring gem architecture, implementing configuration patterns, setting up testing, or preparing for publishing. Cov...

GitHub

document-review

majesticlabs-dev

Review legal documents as an experienced attorney. Analyzes contracts, ToS, privacy policies, NDAs, and corporate docs section-by-section. Identifies risks, gaps, and unfavorable terms with specific replacement...

GitHub

help-docs-writer

majesticlabs-dev

Create customer-facing help documentation for product features. Analyzes codebase to extract feature details, transforms into user-friendly walkthroughs with troubleshooting sections.

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.

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