llm-ai
18
system-prompt-writer
This skill should be used when writing or improving system prompts for AI agents, providing expert guidance based on Anthropic's context engineering principles.
aws-samples
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
18
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
vuralserhat86
data-ai
llm-ai
17
marketing-strategy
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.
majesticlabs-dev
data-ai
llm-ai
17
aeo-scorecard
Measurement framework for Answer Engine Optimization (AEO). Provides AI visibility metrics, share of voice tracking, citation monitoring, and referral demand measurement. Use when discussing AEO/GEO metrics or AI visibility performance.
majesticlabs-dev
data-ai
llm-ai
17
objection-destroyer
Create powerful pitch closings with market insights, proprietary advantages, founder mission, and subtle FOMO triggers in under 45 seconds.
majesticlabs-dev
data-ai
llm-ai
17
slogan-generator
Generate and evaluate marketing slogans for any product or service. Creates options across multiple angles, scores against criteria, and recommends the best fit.
majesticlabs-dev
data-ai
llm-ai
17
brand-voice
Codify your brand's writing style into a reusable voice guide. Analyzes existing content to extract patterns, then generates a comprehensive style document for consistent messaging across all channels.
majesticlabs-dev
data-ai
llm-ai
17
review-management
Optimize review scores and leverage user-generated content for AI visibility and brand trust.
majesticlabs-dev
data-ai
llm-ai
17
power-words
Enhance copy with emotional trigger words from 21 psychological categories. Transform bland text into compelling, conversion-focused content.
majesticlabs-dev
data-ai
llm-ai
17
claude-agent-development
This skill should be used when creating agents, writing agent frontmatter, configuring subagents, or when "create agent", "agent.md", "subagent", or "Task tool" are mentioned.
outfitter-dev
data-ai
llm-ai
17
langchain-agents
Expert guidance for building LangChain agents with proper tool binding, memory, and configuration. Use when creating agents, configuring models, or setting up tool integrations in LangConfig.
LangConfig
data-ai
llm-ai
17
skill-design-philosophy
Core philosophy for designing Claude Code skills - when to use skills vs agents, the knowledge test, and what makes skills valuable. Use when deciding component type or evaluating skill quality.
majesticlabs-dev
data-ai
llm-ai
17
vvm
VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM is the runtime. Activate when: running .vvm files, mentioning VVM, calling /vvm-boot, /vvm-run, /vvm-compile, or orchestrating multi-agent workflows. Read spec.md for the language specification and vvm.md for execution semantics.
karanchawla
data-ai
llm-ai
17
context-manager
Manages permanent memory storage for decisions, blockers, context, preferences, and procedures. Use when user says "remember", "save this decision", "what did we decide", "recall", "search memories", "any blockers", or when making important architectural decisions. Provides SDAM compensation through external memory.
Toowiredd
data-ai
llm-ai
17
skills-development
This skill should be used when creating skills, writing SKILL.md files, or when "create skill", "new skill", "validate skill", or "SKILL.md" are mentioned.
outfitter-dev
data-ai
llm-ai
17
mcp-builder
Comprehensive guide for creating Model Context Protocol (MCP) servers. Use when building MCP servers, integrating external APIs, or creating tool interfaces for LLMs.
LangConfig
data-ai
llm-ai
17
claude-code-configuration
This skill should be used when configuring Claude, setting up MCP servers, or when "settings.json", "claude_desktop_config", "MCP server", or "Claude config" are mentioned.
outfitter-dev
data-ai
llm-ai
17
codex-configuration
This skill should be used when configuring Codex CLI, setting up profiles, or when "config.toml", "sandbox mode", "Codex config", or "approval policy" are mentioned.
outfitter-dev
data-ai
llm-ai
17
skill-template
Template for creating Claude Code skills. Replace this description with a clear explanation of what this skill does and when it should be used. Be specific about triggers and use cases.
kdoronin
data-ai
llm-ai
17
ralph-methodology
Technical mechanics for autonomous AI coding loops
majesticlabs-dev
data-ai
llm-ai
16
enactfirecrawl
Scrape, crawl, search, and extract structured data from websites using Firecrawl API - converts web pages to LLM-ready markdown
EnactProtocol
data-ai