O que solana-agent-kit-plugin-madeonsol faz?
Plugin do Solana Agent Kit para MadeOnSol — inteligência de KOLs e análises de implementadores via x402
Plugin do Solana Agent Kit para MadeOnSol — inteligência de KOLs e análises de implementadores via x402
Este plugin integra o Solana Agent Kit com a plataforma MadeOnSol, fornecendo inteligência sobre Key Opinion Leaders (KOLs) e análises detalhadas de implementadores (deployers) no ecossistema Solana. Utilizando o protocolo x402, ele permite que agentes de IA recuperem métricas de desempenho de KOLs, histórico de implementações e dados de engajamento. É útil para desenvolvedores que criam ferramentas de análise de mercado, bots de trading ou dashboards que necessitam de dados confiáveis sobre influenciadores e projetos na blockchain Solana. Compatível com agentes como Claude Code, Cursor e Codex, o plugin simplifica a consulta a dados on-chain e off-chain combinados, oferecendo uma interface padronizada via funções do Solana Agent Kit.
npx skills add LamboPoewert/solana-agent-kit-plugin-madeonsolInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Plugin do Solana Agent Kit para MadeOnSol — inteligência de KOLs e análises de implementadores via x402
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.