docs/zh-CN/skills/terminal-ops/SKILL.md
基于证据优先的仓库执行工作流,适用于ECC。当用户需要运行命令、检查仓库、调试CI失败或推送带有精确执行和验证证明的窄修复时使用。
npx skillsauth add affaan-m/everything-claude-code terminal-opsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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当用户需要真实的仓库执行时使用此技能:运行命令、检查 git 状态、调试 CI 或构建、进行窄幅修复,并准确报告更改和验证的内容。
此技能有意比通用编码指导更窄。它是一种以证据为先的终端执行操作工作流。
在相关时,将这些 ECC 原生技能引入工作流:
verification-loop 用于更改后的精确验证步骤tdd-workflow 当正确的修复需要回归覆盖时security-review 当涉及密钥、认证或外部输入时github-ops 当任务依赖于 CI 运行、PR 状态或发布状态时knowledge-ops 当需要将验证结果捕获到持久的项目上下文中时明确:
在更改任何内容之前:
一次解决一个主要失败:
使用确切的状态词:
表面
- 仓库
- 分支
- 请求模式
证据
- 失败的命令 / 差异 / 测试
操作
- 变更内容
状态
- 已检查 / 本地已更改 / 本地已验证 / 已提交 / 已推送 / 已阻止
development
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
development
Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.
tools
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.
data-ai
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.