# Apply Technique: Claude Code v2.1.94: Advanced Hooks, Skills, and MCP Enhancements
## What This Is
Claude Code has been updated with powerful new features for developers. These changes allow for more precise automation, such as running tasks only when specific conditions are met, and enable deeper integration with external services and team-based workflows.
Source: https://pub.towardsai.net/a-complete-beginners-guide-to-claude-code-skills-agents-hooks-plugins-mcp-085b26b73fdd
## Before You Start
Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)
Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?
## Source Access Note
The source URL (https://pub.towardsai.net/a-complete-beginners-guide-to-claude-code-skills-agents-hooks-plugins-mcp-085b26b73fdd) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.
## What to Implement
This is an **AI Technique** — a pattern or methodology for working with AI models.
- Explain how this technique applies to my current project and what benefit it provides
- Implement it in a way that fits my existing codebase — suggest concrete files to modify or create
- If it requires specific model capabilities (structured output, function calling, etc.), verify my current provider supports them
- Show me a working example I can test immediately
## Additional Context
- Scan the user's Claude Code configuration to identify the installed version. Compare it against v2.1.94 and report if an update is available to access the latest features like conditional hooks and Amazon Bedrock support.
- Review the user's `.claude/hooks/hooks.json` file. Propose adding a conditional `if` field to a frequently-run hook to optimize performance. For example, wrap a pre-commit Python linter hook with `'if': "Bash(git diff --cached --name-only | grep '\.py$')"`.
- Inspect the SKILL.md files in the user's `.claude/skills/` directory. For skills that perform complex analysis or code generation, add the `effort: high` frontmatter to instruct the model to use maximum reasoning capacity for that task.
## Reference Implementation
```
{
"event": "PreCommit",
"command": "claude-code skill run linter-check",
"if": "Bash(git diff --cached --name-only | grep -E '\\.(js|ts|py)$')",
"timeoutMs": 30000
}
```
## Guidelines
- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it