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claude-automation-recommender

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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

TypeBest For
HooksAutomatic actions on tool events (format on save, lint, block edits)
SubagentsSpecialized reviewers/analyzers that run in parallel
SkillsPackaged expertise, workflows, and repeatable tasks (invoked by Claude or user via /skill-name)
PluginsCollections of skills that can be installed
MCP ServersExternal 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|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:

CategoryWhat to Look ForInforms Recommendations For
Language/Frameworkpackage.json, pyproject.toml, import patternsHooks, MCP servers
Frontend stackReact, Vue, Angular, Next.jsPlaywright MCP, frontend skills
Backend stackExpress, FastAPI, DjangoAPI documentation tools
DatabasePrisma, Supabase, raw SQLDatabase MCP servers
External APIsStripe, OpenAI, AWS SDKscontext7 MCP for docs
TestingJest, pytest, Playwright configsTesting hooks, subagents
CI/CDGitHub Actions, CircleCIGitHub MCP server
Issue trackingLinear, Jira referencesIssue tracker MCP
Docs patternsOpenAPI, JSDoc, docstringsDocumentation skills

Phase 2: Generate Recommendations

Based on analysis, generate recommendations across all categories:

A. MCP Server Recommendations

See references/mcp-servers.md for detailed patterns.

Codebase SignalRecommended MCP Server
Uses popular libraries (React, Express, etc.)context7 - Live documentation lookup
Frontend with UI testing needsPlaywright - Browser automation/testing
Uses SupabaseSupabase MCP - Direct database operations
PostgreSQL/MySQL databaseDatabase MCP - Query and schema tools
GitHub repositoryGitHub MCP - Issues, PRs, actions
Uses Linear for issuesLinear MCP - Issue management
AWS infrastructureAWS MCP - Cloud resource management
Slack workspaceSlack MCP - Team notifications
Memory/context persistenceMemory MCP - Cross-session memory
Sentry error trackingSentry MCP - Error investigation
Docker containersDocker MCP - Container management

B. Skills Recommendations

See references/skills-reference.md for details.

Create skills in .claude/skills/<name>/SKILL.md. Some are also available via plugins:

Codebase SignalSkillPlugin
Building pluginsskill-developmentplugin-dev
Git commitscommitcommit-commands
React/Vue/Angularfrontend-designfrontend-design
Automation ruleswriting-ruleshookify
Feature planningfeature-devfeature-dev

Custom skills to create (with templates, scripts, examples):

Codebase SignalSkill to CreateInvocation
API routesapi-doc (with OpenAPI template)Both
Database projectcreate-migration (with validation script)User-only
Test suitegen-test (with example tests)User-only
Component librarynew-component (with templates)User-only
PR workflowpr-check (with checklist)User-only
Releasesrelease-notes (with git context)User-only
Code styleproject-conventionsClaude-only
Onboardingsetup-dev (with prereq script)User-only

C. Hooks Recommendations

See references/hooks-patterns.md for configurations.

Codebase SignalRecommended Hook
Prettier configuredPostToolUse: auto-format on edit
ESLint/Ruff configuredPostToolUse: auto-lint on edit
TypeScript projectPostToolUse: type-check on edit
Tests directory existsPostToolUse: run related tests
.env files presentPreToolUse: block .env edits
Lock files presentPreToolUse: block lock file edits
Security-sensitive codePreToolUse: require confirmation

D. Subagent Recommendations

See references/subagent-templates.md for templates.

Codebase SignalRecommended Subagent
Large codebase (>500 files)code-reviewer - Parallel code review
Auth/payments codesecurity-reviewer - Security audits
API projectapi-documenter - OpenAPI generation
Performance criticalperformance-analyzer - Bottleneck detection
Frontend heavyui-reviewer - Accessibility review
Needs more teststest-writer - Test generation

E. Plugin Recommendations

See references/plugins-reference.md for available plugins.

Codebase SignalRecommended Plugin
General productivityanthropic-agent-skills - Core skills bundle
Document workflowsInstall docx, xlsx, pdf skills
Frontend developmentfrontend-design plugin
Building AI toolsmcp-builder for MCP development

Phase 3: Output Recommendations Report

Format recommendations clearly. Only include 1-2 recommendations per category - the most valuable ones for this specific codebase. Skip categories that aren't relevant.

## Claude Code Automation Recommendations

I've analyzed your codebase and identified the top automations for each category. Here are my top 1-2 recommendations per type:

### Codebase Profile
- **Type**: [detected language/runtime]
- **Framework**: [detected framework]
- **Key Libraries**: [relevant libraries detected]

---

### 🔌 MCP Servers

#### context7
**Why**: [specific reason based on detected libraries]
**Install**: `claude mcp add context7`

---

### 🎯 Skills

#### [skill name]
**Why**: [specific reason]
**Create**: `.claude/skills/[name]/SKILL.md`
**Invocation**: User-only / Both / Claude-only
**Also available in**: [plugin-name] plugin (if applicable)
```yaml
---
name: [skill-name]
description: [what it does]
disable-model-invocation: true  # for user-only
---

⚡ Hooks

[hook name]

Why: [specific reason based on detected config] Where: .claude/settings.json


🤖 Subagents

[agent name]

Why: [specific reason based on codebase patterns] Where: .claude/agents/[name].md


Want more? Ask for additional recommendations for any specific category (e.g., "show me more MCP server options" or "what other hooks would help?").

Want help implementing any of these? Just ask and I can help you set up any of the recommendations above.


## Decision Framework

### When to Recommend MCP Servers
- External service integration needed (databases, APIs)
- Documentation lookup for libraries/SDKs
- Browser automation or testing
- Team tool integration (GitHub, Linear, Slack)
- Cloud infrastructure management

### When to Recommend Skills

- Document generation (docx, xlsx, pptx, pdf — also in plugins)
- Frequently repeated prompts or workflows
- Project-specific tasks with arguments
- Applying templates or scripts to tasks (skills can bundle supporting files)
- Quick actions invoked with `/skill-name`
- Workflows that should run in isolation (`context: fork`)

**Invocation control:**
- `disable-model-invocation: true` — User-only (for side effects: deploy, commit, send)
- `user-invocable: false` — Claude-only (for background knowledge)
- Default (omit both) — Both can invoke

### When to Recommend Hooks
- Repetitive post-edit actions (formatting, linting)
- Protection rules (block sensitive file edits)
- Validation checks (tests, type checks)

### When to Recommend Subagents
- Specialized expertise needed (security, performance)
- Parallel review workflows
- Background quality checks

### When to Recommend Plugins
- Need multiple related skills
- Want pre-packaged automation bundles
- Team-wide standardization

---

## Configuration Tips

### MCP Server Setup

**Team sharing**: Check `.mcp.json` into repo so entire team gets same MCP servers

**Debugging**: Use `--mcp-debug` flag to identify configuration issues

**Prerequisites to recommend:**
- GitHub CLI (`gh`) - enables native GitHub operations
- Puppeteer/Playwright CLI - for browser MCP servers

### Headless Mode (for CI/Automation)

Recommend headless Claude for automated pipelines:

```bash
# Pre-commit hook example
claude -p "fix lint errors in src/" --allowedTools Edit,Write

# CI pipeline with structured output
claude -p "<prompt>" --output-format stream-json | your_command

Permissions for Hooks

Configure allowed tools in .claude/settings.json:

{
  "permissions": {
    "allow": ["Edit", "Write", "Bash(npm test:*)", "Bash(git commit:*)"]
  }
}

Source

git clone https://github.com/Kotty2998/claude-plugins-official/blob/main/plugins/claude-code-setup/skills/claude-automation-recommender/SKILL.mdView on GitHub

Overview

Analyzes a codebase to surface Claude Code automations—hooks, subagents, skills, plugins, and MCP servers—that fit your setup. It outputs top, actionable recommendations (1-2 per category) to optimize Claude Code workflows without changing your files.

How This Skill Works

Phase 1 analyzes project type, languages, dependencies, and config to map automation opportunities. Phase 2 generates categorized recommendations (1-2 per type by default; more if you specify a type). It also supports augmenting suggestions with web-derived patterns and notes that users implement the recommendations themselves.

When to Use It

  • When you want automation recommendations for Claude Code based on your codebase
  • When you want to optimize your Claude Code setup and workflows
  • When you’re exploring how to first set up Claude Code for a project
  • When you ask which Claude Code features you should use
  • When you want to surface 1-2 top automations per category (or more for a specific type)

Quick Start

  1. Step 1: Provide your repository context and project details to the skill
  2. Step 2: Let the tool analyze (Phase 1) and generate 1-2 recommendations per category (Phase 2)
  3. Step 3: Review the recommendations and implement them in Claude Code (hooks, subagents, skills, plugins, MCP servers) as needed

Best Practices

  • Start with 1-2 top automations per category to avoid overload
  • Tailor recommendations to your language/framework and project patterns
  • Leverage web search to augment patterns beyond internal references
  • If you need more depth, request 3-5 recommendations for a specific type
  • Plan concrete implementation steps after receiving the recommendations

Example Use Cases

  • A Node/React project yields a Playwright MCP for frontend testing, a Database MCP for DB ops, and hooks for lint on save
  • A Python FastAPI backend triggers an OpenAPI docs skill and a GitHub MCP server for issue management
  • A monorepo uses Subagents for parallel code reviews and a CI-focused set of hooks and skills
  • A project leveraging Supabase gets a Supabase MCP connection plus relevant data-related hooks
  • An AWS-heavy project receives an AWS MCP integration alongside hooks for security checks on commits

Frequently Asked Questions

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