mcpskills.net
SkillsMCPsAgentsPrompts
mcpskills.net — A curated directory of AI agent Skills and MCP servers
TermsPrivacy
← Back to Skills
Development

openspec-update

Run `openspec update` to regenerate AI tool instruction files after upgrading the OpenSpec CLI. Use when the user says "update OpenSpec", "openspec update", or "refresh OpenSpec skills/commands".

by full-stack-skillsRepository →Source →

OpenSpec Update Skill

Run openspec update to regenerate AI tool configuration files (skills, commands, rules) after upgrading the OpenSpec CLI package. This ensures your project uses the latest slash commands and skill instructions.

When to Use

  • After upgrading the OpenSpec CLI (npm install -g @fission-ai/openspec@latest).
  • When slash commands or skills seem outdated or missing.
  • After changing tool selections and wanting to refresh configs.

Prerequisites

  • OpenSpec CLI installed (see openspec-install).
  • Project initialized with openspec init (see openspec-initial).

Workflow

  1. Upgrade the CLI first (if not already done)

    • npm install -g @fission-ai/openspec@latest (or pnpm/yarn/bun equivalent).
  2. Run update

    • openspec update — regenerates AI tool config files.
    • openspec update --force — force update even when files are up to date.
    • openspec update ./my-project — target a specific directory.
  3. Verify

    • Check that .claude/skills/, .cursor/rules/, or other tool directories have been refreshed.
    • Restart your AI tool to pick up new skills if needed.

Outputs

  • Regenerated tool-specific config files (skills, commands, rules) matching the new CLI version.

Next Steps

  • Continue your workflow with openspec-new, openspec-explore, etc.

Troubleshooting

  • "openspec: command not found": Use openspec-install first.
  • "Project not initialized": Run openspec-initial (openspec init) first.
  • Skills not appearing after update: Restart your AI tool (Claude Code, Cursor, etc.) to reload skills.

References

  • OpenSpec CLI: update

国内适配

  • 支持中文文档和中文注释
  • 示例代码兼容国内开发环境
  • 提供中文 FAQ 和常见问题解答

能力边界

✅ 适用场景

  • 当你需要使用此技能对应的技术栈时
  • 当项目需要遵循最佳实践时
  • 当需要快速上手或深入理解核心概念时

⚠️ 需要注意

  • 复杂业务逻辑需要结合具体场景调整
  • 性能优化需要根据实际数据量评估

❌ 不适用场景

  • 不相关的技术栈或框架
  • 需要完全自定义的特殊场景

使用流程

Step 1: 环境准备

确保开发环境已安装必要的依赖和工具。

Step 2: 配置初始化

根据项目需求进行基础配置。

Step 3: 核心功能使用

按照示例代码实现核心功能。

Step 4: 测试验证

运行测试确保功能正常。

Step 5: 部署上线

完成开发后进行部署和监控。