claude-automation-recommender
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.
npx skills add anthropics/claude-plugins-official --skill claude-automation-recommender --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 (invoke
- Output Guidelines
- Automation Types Overview
- Workflow
- Phase 1: Codebase Analysis
- Phase 2: Generate Recommendations
- Phase 3: Output Recommendations Report
- Decision Framework
- When to Recommend MCP Servers
- When to Recommend Skills
- When to Recommend Hooks
- When to Recommend Subagents
- When to Recommend Plugins
- Configuration Tips
- MCP Server Setup
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 Pre-commit hook example
What does the claude-automation-recommender skill do?
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.
How do I install it?
Run `npx skills add anthropics/claude-plugins-official --skill claude-automation-recommender --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From anthropics/claude-plugins-official, a repository with 33,027 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.