Claude Automation Recommender
Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills...
Install
npx skills add anthropics/claude-plugins-official --skill claude-automation-recommender -g -a claude-code -y- Repository
- anthropics/claude-plugins-official45.7k
- Category
- AI and agents
- Updated
- 3d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 2,633 tokens
- Runs scripts
- No, instructions only
What it does
Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.
Claude Automation Recommender
Analyze codebase patterns to recommend tailored Claude Code automations across all extensibility options.
This skill is read-only. It analyzes the codebase and outputs recommendations. It does NOT create or modify any files. Users implement the recommendations themselves or ask Claude separately to help build them.
Output Guidelines
- Recommend 1-2 of each type: Don't overwhelm - surface the top 1-2 most valuable automations per category
- If user asks for a specific type: Focus only on that type and provide more options (3-5 recommendations)
- Go beyond the reference lists: The reference files contain common patterns, but use web search to find recommendations specific to the codebase's tools, frameworks, and libraries
- Tell users they can ask for more: End by noting they can request more recommendations for any specific category
Automation Types Overview
| Type | Best For |
|---|---|
| Hooks | Automatic actions on tool events (format on save, lint, block edits) |
| Subagents | Specialized reviewers/analyzers that run in parallel |
| Skills | Packaged expertise, workflows, and repeatable tasks (invoked by Claude or user via /skill-name) |
| Plugins | Collections of skills that can be installed |
| MCP Servers | External tool integrations (databases, APIs, browsers, docs) |
Workflow
Phase 1: Codebase Analysis
Gather project context:
# Detect project type and tools
ls -la package.json pyproject.toml Cargo.toml go.mod pom.xml 2>/dev/null
cat package.json 2>/dev/null | head -50
# Check dependencies for MCP server recommendations
cat package.json 2>/dev/null | grep -E '"(react|vue|angular|next|express|fastapi|django|prisma|supabase|convex|stripe)"'
# Check for existing Claude Code config
ls -la .claude/ CLAUDE.md 2>/dev/null
# Analyze project structure
ls -la src/ app/ lib/ tests/ components/ pages/ api/ 2>/dev/null
Key Indicators to Capture:

