O que ai-skills faz?
Habilidades de assistente IA lsFusion (plugin/marketplace Claude Code) + servidor MCP ai.lsfusion.org
Habilidades de assistente IA lsFusion (plugin/marketplace Claude Code) + servidor MCP ai.lsfusion.org
Este skill fornece um conjunto de ferramentas de IA para a plataforma lsFusion, integrando-se com assistentes como Claude Code e servidores MCP. Ele atua como um marketplace e plugin para o Claude Code, permitindo que agentes de IA realizem operações no ecossistema lsFusion, como consultar e manipular dados, executar ações em formulários e gerenciar arquivos. O servidor ai.lsfusion.org MCP expõe endpoints padronizados para comunicação entre agentes e sistemas lsFusion, facilitando automação de tarefas de desenvolvimento e operações. É útil para desenvolvedores que desejam estender seus workflows com capacidades de IA diretamente no ambiente lsFusion, suportando plataformas como Claude Code, Cursor e Codex.
npx skills add lsfusion/ai-skillsInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Habilidades de assistente IA lsFusion (plugin/marketplace Claude Code) + servidor MCP ai.lsfusion.org
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.