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2.582 skills encontradas
akii-seo-ai-search-optimizer
Generate and maintain llms.txt and llms-full.txt — the emerging standard telling LLM-powered crawlers what content matters most on your site. Use when the user asks "llms.txt", "llms-full.txt", "LLM-friendly file", "tell AI crawlers about my site", "AI-readable manifest", "site summary for LLMs", "llms file", "generative AI sitemap", or wants their site optimized for AI crawler ingestion.
akii-seo-ai-search-optimizer
Fast-path AI visibility — get a brand's 0–100 Akii Visibility Score (computed by an open-source LLM judge against the brand's public footprint) with four-dimension breakdown AND a per-engine proxy map for ChatGPT, Claude, Gemini, Perplexity, Copilot, and Google AI Overviews based on FirstPageSage signal weights. Single-turn fast path. This is the default for any AI-visibility question. Use when th
sequence-load
Find leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
tear-sheet
Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or ticker. Also trigger when users ask for equity research summaries, M&A company pro
seo-geo
URL-level Generative Engine Optimization (GEO) analysis. For a specific URL, pulls AI Overview citation data scoped to the URL's primary keywords, identifies which AIO queries cite the URL vs which don't but should, and recommends page-level changes that improve LLM citability. Distinct from `seo-ai-search-share-of-voice` (domain-level, brand vs brand) — this is one URL, deeper. Use when the user
seo-ai-search-share-of-voice
Measure AI Search share of voice for a target domain versus competitors across ChatGPT, Perplexity, Gemini, Google AI Overview, and AI Mode. Pulls the AIO leaderboard, then samples prompts where each domain appears as a source or brand mention, and analyses topic clusters each brand owns. Use when the user asks for AI Search share of voice, LLM visibility tracking, AEO/GEO analysis, AI Overview co
find-ai-consultancy
Use esta skill para encontrar, pré-selecionar, avaliar ou enriquecer consultorias de IA/ML/dados nos EUA, especializadas em desenvolvimento de IA/ML, MLOps, IA generativa, visão computacional, PNL, sistemas de recomendação, engenharia de dados e BI/analytics.
jangbu-tag
Esta skill mapeia contas para detalhes de transações padrão, priorizando a classificação baseada em regras (80%+) com um fallback de LLM para casos de falha (visualização mascarada) e um loop de confirmação do usuário. Inclui 100 regras semente para clientes coreanos e suporta uma estrutura dupla de contas internas e contas padrão do Serviço Nacional de Impostos.
claude-api
Provides code patterns for the Anthropic Claude API including streaming, tool use, and prompt caching. Use when working with Anthropic SDK files or when the user mentions Claude API, Anthropic client, or LLM integration.
llm-app-patterns
Provides architectural patterns for LLM-powered applications and AI assistants, including prompt engineering, RAG, agent loops, conversation management, and evaluation. Use when building AI-based features, chatbots, or complex AI system architectures.
llm-judge
Use when comparing two or more code implementations against a spec or requirements doc. Triggers on \"which repo is better\", \"compare these implementations\", \"evaluate both solutions\", \"rank these codebases\", or \"judge which approach wins\". Also covers choosing between competing PRs or vendor submissions solving the same problem. Does NOT review a single codebase for quality \u2014 use co