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Skills IA Documentation

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

Catégories: Documentation

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Explorer

GitHub

page-layer

sun33t

This skill should be used when the user asks to 'create a page', 'add a route', 'create a layout', 'add metadata', or 'set up a dynamic route'. Provides guidance for Next.js 15 App Router pages, layouts, and ro...

GitHub

skill-creation

sun33t

This skill should be used when the user asks to "create a skill", "add a new skill", "write a skill", "make a skill", "build a skill for Claude", or mentions creating Claude Code skills, skill development, or S...

GitHub

content-layer

sun33t

This skill should be used when the user asks to 'create an article', 'add a blog post', 'modify frontmatter', 'add a category', or 'update content schema'. Provides guidance for MDX articles, content-collection...

GitHub

unit-testing

sun33t

This skill should be used when the user asks to "add unit tests", "write tests", "set up Vitest", "create a utility function", "add test coverage", or mentions TDD, test-driven development, or testing utilities...

GitHub

component-layer

sun33t

This skill should be used when the user asks to 'create a component', 'add a button', 'build a card', 'add UI element', or 'create a feature component'. Provides guidance for React components using shadcn/ui, R...

GitHub

welcome-email-sequence

Sheshiyer

Builds a two-part VIP Welcome Email Sequence aligned to brand voice and product context. Mirrors proven structure and tone while adapting content to the current campaign.

GitHub

competitor-analysis

Sheshiyer

Executes a deep-dive market intelligence protocol. Uses search tools to scrape competitor data (Specs, Price, Materials), analyzes customer sentiment (Reviews, FAQs), and synthesizes a product knowledge base.

GitHub

mds-messaging-direction-summary

Sheshiyer

Produces the Messaging & Direction Summary covering product pitch, features/benefits, use cases, audiences, value props, objections, brand pitch, competitive notes, USP, desired emotions.

GitHub

campaign-orchestrator

Sheshiyer

Orchestrates the full crowdfunding workflow phase-by-phase, ensuring each Skill runs in sequence with proper handoffs and validation gates.

GitHub

press-release-copy

Sheshiyer

Writes a professional launch press release with headline, dateline, summary, quotes, specs, pricing, availability, and media info.

GitHub

copywriting-core

Sheshiyer

ARCHIVE REFERENCE ONLY. Superseded by active `campaign-page-copy` skill. Use this as inspiration, not for invocation in the orchestrated flow.

GitHub

pre-launch-ads

Sheshiyer

The 'Programmatic Ad Engine'. It executes a massive 35-step creative protocol to generate a complete Pre-Launch Advertising Campaign. It ingests Brand and Product strategies, applies a user-defined 'Awareness v...

GitHub

product-detailing-core

Sheshiyer

ARCHIVE REFERENCE ONLY. Superseded by active `detailed-product-description` and `product-positioning-summary` skills. Use as inspiration; do not invoke in orchestrated flow.

GitHub

live-campaign-ads

Sheshiyer

Generates live campaign ad headlines and bodies across urgency, discount, social proof, testimonial, and live-now motifs.

GitHub

voice-and-tone

Sheshiyer

Defines brand voice persona and tone calibration using persona and positioning data to produce a reusable meta-prompt for copywriting.

GitHub

campaign-page-copy

Sheshiyer

Generates full campaign page content structured for Kickstarter/Indiegogo using positioning, product, and voice assets.

GitHub

detailed-product-description

Sheshiyer

Writes a comprehensive, feature-by-feature product description with specs and benefits that can serve as a universal prompt for downstream content generation.

GitHub

brand-strategy-core

Sheshiyer

ARCHIVE REFERENCE ONLY. Superseded by modular skills (`mds-messaging-direction-summary`, `voice-and-tone`, `product-positioning-summary`). Use as inspiration; do not invoke in orchestrated flow.

GitHub

buyer-persona-generator

Sheshiyer

Generates a deep-psychology buyer persona dossier. It strictly follows a 10-step market analysis protocol (Demographics, Failed Solutions, Tone Switching, Genie Simulation, Anti-Goals) to create a strategic fou...

GitHub

product-positioning-summary

Sheshiyer

Generates a positioning summary using the CBBE framework (Salience, Performance, Imagery, Judgments, Feelings, Resonance) based on product, persona, and competitive context.

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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