O que quiver-compass faz?
Kit de ferramentas de IA para Pesquisa GTM e Análise Competitiva 2026 - Raine Soriano
Kit de ferramentas de IA para Pesquisa GTM e Análise Competitiva 2026 - Raine Soriano
O reem-plus/quiver-compass é um kit de ferramentas especializado em IA para profissionais de Go-to-Market (GTM) e análise competitiva, desenvolvido por Raine Soriano para o cenário de 2026. Ele auxilia na automação de pesquisas de mercado, identificação de concorrentes, coleta de inteligência competitiva e geração de insights estratégicos. A ferramenta é projetada para suportar plataformas como Claude Code, Cursor e Codex, permitindo que agentes de IA executem tarefas complexas de GTM de forma eficiente. Seu funcionamento baseia-se em scripts e prompts que integram fontes de dados externas (como web scraping, APIs e feeds) para entregar análises consolidadas, economizando tempo e melhorando a precisão das decisões de mercado.
npx skills add reem-plus/quiver-compassInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Kit de ferramentas de IA para Pesquisa GTM e Análise Competitiva 2026 - Raine Soriano
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.