Claude Skill

keli-wen/agentic-harness-patterns-skill

一个用于工程化编排的Claude Skill,提供记忆、权限、上下文工程和多智能体协调的模式。提炼自Claude Code,中英双语。通过npx skills add安装。

概览

Stars284
Forks47
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最后更新2026-04-02
最近同步2026-06-17
前往 GitHub

仓库信息

拥有者keli-wen
仓库agentic-harness-patterns-skill
完整名称keli-wen/agentic-harness-patterns-skill
Repo ID1,198,821,070

安装这个 Skill

npx skills add github:keli-wen/agentic-harness-patterns-skill

Registry 信息

类型cursor_rule
质量分75/100
验证状态readme_parsed
最近验证2026-06-17
平台
ClaudeCodexCursor
能力
pdfmemoryimageterminalworkflowagentclaude-codecodexcontextsgemini-cli
识别文件
README.mddocs

项目简介

一个用于工程化编排的Claude Skill,提供记忆、权限、上下文工程和多智能体协调的结构化模式。提炼自Claude Code,并计划集成Codex CLI与Gemini CLI。中英双语。通过npx skills add安装。

英文描述

Agent skill for harness engineering — memory, permissions, context engineering, multi-agent coordination. Distilled from Claude Code, with Codex CLI and Gemini CLI on the roadmap. EN/ZH. Install via npx skills add.

要点

  • 用于智能体状态持久化的记忆管理模式
  • 权限与访问控制工程
  • 优化智能体性能的上下文工程
  • 多智能体协调与编排
  • 提炼自真实的Claude Code使用经验
  • 中英双语支持

使用场景

  • 使用结构化记忆构建可靠的智能体工作流
  • 管理多智能体系统中的权限
  • 为复杂任务设计上下文窗口
  • 协调多个智能体实现大规模自动化

README 摘要

<p align="center"> <img src="images/agent-harness-patterns-header.png" alt="Agentic Harness Patterns" width="680"> </p> <p align="center"> <a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a> <a href="https://github.com/vercel-labs/skills"><img src="https://img.shields.io/badge/npx_skills_add-compatible-brightgreen.svg" alt="Skills Compatible"></a> <a href="https://github.com/anthropics/claude-code"><img src="https://img.shields.io/badge/Claude_Code-source_analysis-d4a574.svg" alt="Claude Code"></a> </p> <p align="center"><strong>Production design patterns for AI coding agents, distilled from 512,000 lines of Claude Code.</strong></p> <p align="center"> <a href="README.md"><strong>English</strong></a> · <a href="README_ZH.md"><strong>中文</strong></a> </p> --- > [!TIP] > **How this was built:** Read the [Distilling Claude Code Source — A Harness Engineering Practice Log](docs/distillation-harness-practice.md) for the full story of how Codex and Claude Code collaborated, the PCA-inspired taste injection, and what worked (and didn't). The model loop is easy. `User -> LLM -> tool_use -> execute -> loop` fits on a napkin. What makes a production agent actually work — reliably, safely, at scale — is everything *around* the loop: memory that persists across sessions, permissions that fail closed, context budgets that don't explode, multi-agent coordination that doesn't collapse into chaos, and extensibility that doesn't become a security hole. Anthropic calls this the **harness**. This repo teaches you how to build one. > [!NOTE] > This skill is compatible with the [open agent skills ecosystem](https://github.com/vercel-labs/skills). Install with `npx skills add` — works with Claude Code, Codex, and 40+ other a

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数据来自 GitHub,同步时间:2026-06-17