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Skills IA Outils

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

Catégories: Outils

21,217–21,240 sur 87,268

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GitHub

decision-framework

majesticlabs-dev

Walk through decisions using a 3-part framework (first-principles, cost/benefit, second-order effects). Use when choosing between options, evaluating trade-offs, or making high-stakes decisions.

GitHub

skill-linter

majesticlabs-dev

Validate skills against agentskills.io specification. Use when adding new skills to the marketplace, reviewing skill PRs, checking skill compliance, or running quality gates on skills. Validates frontmatter fie...

GitHub

tailwind-coder

majesticlabs-dev

Use when applying Tailwind CSS styling to Rails views. Uses utility classes, responsive design patterns, and integrates with Rails view helpers.

GitHub

newsletter

majesticlabs-dev

Create engaging newsletter editions with proven structures, subject lines, and content formats. Supports curator, educator, and thought leader archetypes for ongoing audience communication.

GitHub

fix-decision-router

majesticlabs-dev

Post-documentation decision menu for fix-reporter. Routes to critical patterns, skill updates, cross-references, or discovery enablement.

GitHub

aasm-coder

majesticlabs-dev

Implement state machines with AASM for workflow management. Covers state transitions, guards, callbacks, and testing.

GitHub

outbound-sequences

majesticlabs-dev

Templates and frameworks for cold outreach sequences. Email templates, cold call scripts, LinkedIn messages, subject lines, and response handling.

GitHub

react-coder

majesticlabs-dev

Write modern React components with TypeScript, hooks, and best practices. Creates functional components, custom hooks, and follows composition patterns.

GitHub

language

majesticlabs-dev

Research and use customer language across Product and Marketing. Sales Safari methodology for finding watering holes, extracting pain language, and creating "OH YEAH!" resonance.

GitHub

content-optimizer

majesticlabs-dev

Content optimization workflow covering keyword integration, semantic enhancement, structure optimization, and AI extractability. Use for improving existing content for both search engines and LLMs.

GitHub

marketing-strategy

majesticlabs-dev

Build a custom marketing strategy through an interactive interview. Develops business positioning, audience targeting, channel selection, and customer journey—then exports as a reusable JSON profile.

GitHub

linkedin-content

majesticlabs-dev

Create high-performing LinkedIn content with algorithm-optimized hooks, content pillar strategy, posting cadence, and performance tracking. Includes format templates for text posts, carousels, and polls.

GitHub

ux-brief

majesticlabs-dev

Design system templates and patterns for UI/UX briefs. Used by /majestic:ux-brief command.

GitHub

hierarchical-agents

majesticlabs-dev

Generate hierarchical AGENTS.md structure for codebases to optimize AI agent token usage. Use when creating AGENTS.md files, documenting codebase structure, setting up agent guidance, organizing project documen...

GitHub

solid-cache-coder

majesticlabs-dev

Use when configuring or working with Solid Cache for database-backed caching. Applies Rails 8 conventions, cache key design, expiration strategies, database setup, and performance tuning patterns.

GitHub

omtm-growth

majesticlabs-dev

YC growth framework - identify One Metric That Matters, commit to 7% weekly growth, install public accountability. Focus-forcing system for early-stage startups.

GitHub

avo-coder

majesticlabs-dev

Use when building Avo admin interfaces. Creates resources, actions, filters, and dashboards following Avo conventions. Fetches latest docs dynamically.

GitHub

win-back

majesticlabs-dev

Design win-back campaigns to re-engage dormant customers and recover churned users with targeted messaging, special offers, and feedback collection to understand and address churn reasons.

GitHub

data-quality

majesticlabs-dev

Quality dimensions, scorecards, distribution monitoring, and freshness checks. Use for data validation pipelines and quality gates.

GitHub

fluff-detector

majesticlabs-dev

Detect human-oriented content in LLM artifacts. Flags attribution, personas, redundant explanations, marketing language, and decorative elements that waste tokens without improving LLM behavior.

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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