Forever — a TypeScript-native AI Agent framework for digital legacy and emotional companionship. Multi-agent orchestration, unified LLM adapter for 16+ platforms, 5 thinking strategies, RAG pipeline, MCP support, graph-based workflow engine, and safety guardrails.
forever is a Claude Code agent skill that forever — a TypeScript-native AI Agent framework for digital legacy and emotional companionship. Multi-agent orchestration, unified LLM adapter for 16+ platforms, 5 thinking strategies, RAG pipeline, MCP support, graph-based workflow engine, and safety guardrails.
npx skills add badhope/foreverInstalled? Explore more 研究與資料分析 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Forever — a TypeScript-native AI Agent framework for digital legacy and emotional companionship. Multi-agent orchestration, unified LLM adapter for 16+ platforms, 5 thinking strategies, RAG pipeline, MCP support, graph-based workflow engine, and safety guardrails.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
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.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.