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Pesquisa e Web

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amazon-fba-prep

293

Complete FBA preparation guide. Product labeling, packaging requirements, shipment planning, and compliance with Amazon's fulfillment center requirements. Avoid common rejection reasons.

Pesquisa e Web #ai #llm por nexscope-ai

notebooklm

289

Enables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases.

Pesquisa e Web #ai #mcp por giuseppe-trisciuoglio

activation-funnel

288

Design and analyze activation funnels (AARRR / AAARRR Pirate Metrics) with conversion + drop-off math, bottleneck detection, and Mermaid funnel diagrams. Includes a stdlib Python tool that emits all 6 shared PM output formats.

Pesquisa e Web #ai #python por borghei

opportunity-solution-tree

288

Opportunity Solution Tree (Teresa Torres) — a continuous discovery artifact mapping desired outcomes → opportunities → solutions → assumption tests. Use when prioritizing discovery work, structuring weekly customer interviews, mapping multiple solutions to one problem, or auditing whether your roadmap actually moves outcomes.

Pesquisa e Web #ai #python por borghei

brand-guidelines

288

Build, document, and enforce brand identity systems covering visual identity, voice and tone, typography, color systems, logo usage, imagery standards, and cross-channel consistency. Use when creating style guides, defining brand voice, auditing brand consistency, establishing visual standards, or when user mentions brand guidelines, brand colors, typography, logo usage, brand voice, visual identi

Pesquisa e Web #ai #python por borghei

pre-mortem

288

Pre-mortem risk analysis expert that classifies risks as Tigers, Paper Tigers, and Elephants to surface launch-blocking issues before they happen.

Pesquisa e Web #ai #python por borghei

weekly-review

288

Synthesize a week of inputs (calendar, tasks, journal, OKR check-ins) into a structured weekly review with wins, learnings, blockers, and next-week priorities. Use every Friday or Sunday, or when the user mentions weekly review, GTD review, OKR check-in, or end-of-week reflection.

Pesquisa e Web #ai #python por borghei

release-manager

288

Automates release management with changelog generation, semantic versioning, and release readiness checks. Use when preparing releases, generating changelogs, bumping versions, or validating release candidates.

Pesquisa e Web #ai #python por borghei

marketplace-advisor

288

Strategic advisory for two-sided marketplace founders covering chicken-and-egg problem solving, take rates, liquidity metrics, supply/demand balance, network effects, and marketplace business model patterns. Use when scoping a marketplace idea, scoring marketplace health, or when the user mentions marketplace, two-sided market, take rate, liquidity, supply density, or network effects.

Pesquisa e Web #ai #python por borghei

domain-name-brainstormer

288

Generate candidate brand and product names by combining seed words with prefixes, suffixes, vowel-drops, blends, and TLD variations, then score candidates for memorability, length, and pronounceability. Use when naming a new product, company, or feature, or when the user mentions domain names, brand naming, naming brainstorm, or finding an available .com.

Pesquisa e Web #ai #python por borghei

browser-automation

288

This skill should be used when the user asks to "build web automation scripts", "check browser automation for detection", "generate web scraping code", "create form filling automation", or "build anti-detection browser scripts".

Pesquisa e Web #ai #api por borghei

ab-test-setup

288

Design and implement statistically rigorous A/B tests and experiments. Covers hypothesis formulation, sample size calculation, metric selection, traffic allocation, implementation patterns (client-side and server-side), statistical analysis, and common pitfalls. Use when planning experiments, calculating sample sizes, designing test variants, analyzing results, or when someone says "let's test tha

Pesquisa e Web #ai #python por borghei