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 0: Confirm Before Scanning（Cherry Studio addition）

This scan reads many files (package.json, source structure, .claude/, framework configs, dependencies) and produces detailed analysis. It is token-intensive, a typical run on a medium-sized repo consumes 20, 40K tokens of model context, plus model output for the recommendations themselves.

Before doing any filesystem reads or Bash calls, you MUST:

1. Announce the scan plan in one short paragraph: what dirs/files you will read, why each is needed, and the token-budget estimate. Example phrasing: