菜单
基于RFC驱动的多智能体DAG执行模式，包含质量门、合并队列和工作单元编排。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
Project-specific skill template covering architecture, patterns, testing, and deployment guidance.
| name | ralphinho-rfc-pipeline |
| description | 基于RFC驱动的多智能体DAG执行模式，包含质量门、合并队列和工作单元编排。 |
| origin | ECC |
灵感来源于 humanplane 风格的 RFC 分解模式和多单元编排工作流。
当一个功能对于单次代理处理来说过于庞大，必须拆分为独立可验证的工作单元时，请使用此技能。
每个工作单元应包含：
iddepends_onscopeacceptance_testsrisk_levelrollback_plan如果一个单元停滞：