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。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

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

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.

1.1K
Stars
84/100
信頼
カテゴリ: agent-frameworks監査

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.

46
Stars
69/100
信頼
カテゴリ: utility監査

A multi-agent newsroom that transforms documents into a cross-linked wiki using local LLMs, designed for agent runtimes like Claude Code.

77
Stars
67/100
信頼
カテゴリ: research監査

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.

30
Stars
69/100
信頼
カテゴリ: coding-agents監査

Plugin de skills e agentes para Claude Code workflows de engenharia reais, do PRD ao PR

19
Stars
63/100
信頼
カテゴリ: utility監査

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.

11
Stars
63/100
信頼
カテゴリ: coding-agents監査

Curated collection of AI agent skills for Hermes and other agent frameworks

11
Stars
63/100
信頼
カテゴリ: utility監査

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.

39
Stars
64/100
信頼
カテゴリ: coding-agents監査

A reusable agent decision workflow that forces AI agents to debate financial trades and settles via code, installable across multiple agent runtimes.

10
Stars
68/100
信頼
カテゴリ: finance-quant監査

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.

20
Stars
61/100
信頼
カテゴリ: design-creative監査

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.

16
Stars
65/100
信頼
カテゴリ: research監査