AI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate solutions, and synthesize the best approach for your code.
Skill ディレクトリ
AI Agent のための再利用可能な Skill を見つける。
すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。
検索結果: debate
英語版ディレクトリAgentic, long-horizon visual generation: a fuzzy story → a cross-model-audited image-based movie. Brings ARIS's research-wiki + multi-agent debate to multimodal generation (intelligence lives in the agent; the diffusion model just renders). Image-based today, video next.
A multi-agent newsroom that transforms documents into a cross-linked wiki using local LLMs, designed for agent runtimes like Claude Code.
A Claude Code plugin that orchestrates 4-6 AI reviewers to debate and judge code, plans, or docs with structured multi-stance review and domain checklists.
Plugin de skills e agentes para Claude Code workflows de engenharia reais, do PRD ao PR
Nine quality-canary skills for AI coding agents covering code health, rule completeness, grounding, supply chain, resilience, and drift, with auto-cadence hooks for session start/end.
Curated collection of AI agent skills for Hermes and other agent frameworks
A CLI and skill harness that adds real-world capabilities like image, video, web search to coding agents such as Claude Code, Cursor, and Codex.
A reusable agent decision workflow that forces AI agents to debate financial trades and settles via code, installable across multiple agent runtimes.
Use when building AI agents with agentfootprint — LLMCall, Agent, skills, RAG, memory, control flow, Swarm concepts, mock/anthropic/openai/ollama providers, tools, recorders, resilience, and streaming. Also use when someone asks how agentfootprint works or wants to understand the framework.
Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling and dead code removal. Activate when designing system architecture, planning releases, refactoring codebases, establishing project standards, or resolving technical uncertainty.