Research workrooms for AI agents: evidence retrieval, citation audit, adversarial review, peer review gates, and clean final reports.
#agent-orchestration
149 posts
Drive a feature from idea to PR with a team of Claude Code agents.
Agent-specific payment workflows and examples for TDM
Fable 指揮官工作流 — 最強模型只做規劃/審查,研究與執行派給你選的模型;maker/verifier 分離的執行迴圈。Commander workflow for Claude Code: pla...
OpenCode plugin: Ralph outer loop + RLM inner loop — iterative AI development with file-first discipline and sub-agent support
Disciplined software engineering for coding agents: plan → review → build loops that actually terminate, with bounded rounds, fresh-reviewer...
Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named pattern...
Multi-agent harness that runs Claude Code and Codex together as one system
Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees,...
Claude Code skills that make Claude (Fable) the conductor of AI worker fleets: many parallel OpenAI Codex workers plus Opus design agents, o...
14 AI executives powered by legendary minds (Musk/Buffett/Simons/Feynman) — deploy your virtual C-Suite in one git clone.
Your AI coding agent starts every session knowing your repos, your clients, and how you work — a plain git repo of markdown + YAML it reads...