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Claude Automation Recommender

AnthropicOfficialPublished by Anthropic

  • Skill
  • Research and analysis
  • Agent tooling
  • Apache-2.0
  • No issues found

From the author

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.
— the description by Anthropic

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Claude Automation Recommender is a diagnostic tool designed to optimize your Claude Code environment. By scanning your project's configuration files, dependencies, and structure, it identifies the most relevant extensibility options to improve your development workflow. It provides actionable recommendations for MCP servers, custom skills, automation hooks, and specialized subagents, helping you integrate Claude more deeply into your specific tech stack.

What it does

  • Analyzes project files like package.json and pyproject.toml to detect frameworks and tools.
  • Recommends specific MCP servers for database, API, and documentation integration.
  • Suggests custom skills for repetitive tasks like documentation, testing, or PR management.
  • Identifies appropriate hooks for automated linting, formatting, and safety checks.
  • Proposes specialized subagents for complex tasks like code review or security auditing.
  • Provides clear implementation steps for each recommended automation.

When to use it

  • When you want to optimize your Claude Code setup for a new or existing project.
  • When you are unsure which MCP servers or plugins would benefit your specific tech stack.
  • When you want to automate repetitive tasks like formatting, linting, or test execution.
  • When you need to improve your development workflow with custom skills or subagents.

Advantages

  • Tailored recommendations based on your actual codebase patterns.
  • Reduces manual setup time by suggesting proven automation configurations.
  • Helps maintain code quality through automated hooks and subagent reviews.
  • Provides a structured approach to extending Claude Code capabilities.

Usage examples

“Analyze this project and recommend Claude Code automations.”
The agent will scan your project files and provide a categorized list of recommended MCP servers, skills, and hooks based on your detected language and framework.
“What hooks should I add to my TypeScript project?”
The agent will focus specifically on TypeScript-relevant hooks, such as auto-formatting with Prettier and type-checking with tsc.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/anthropics/claude-automation-recommender/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip claude-automation-recommender.zip -d .agents/skills

Documentation by Anthropic

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|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:

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, Convex, raw SQLDatabase / backend 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
Uses ConvexConvex MCP - Live deployment introspection, run queries/mutations, manage env vars and logs
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:*)"]
  }
}

Files

references/mcp-servers.md

MCP Server Recommendations

MCP (Model Context Protocol) servers extend Claude's capabilities by connecting to external tools and services.

Note: These are common MCP servers. Use web search to find MCP servers specific to the codebase's services and integrations.

Setup & Team Sharing

Connection methods:

  1. Project config (.mcp.json) - Available only in that directory

  2. Global config (~/.claude.json) - Available across all projects

  3. Checked-in .mcp.json - Available to entire team (recommended!)

Tip: Check .mcp.json into git so your whole team gets the same MCP servers.

Debugging: Use claude --mcp-debug to identify configuration issues.

Documentation & Knowledge

context7

Best for: Projects using popular libraries/SDKs where you want Claude to code with up-to-date documentation

Recommend WhenExamples
Using React, Vue, AngularFrontend frameworks
Using Express, FastAPI, DjangoBackend frameworks
Using Prisma, DrizzleORMs
Using Stripe, Twilio, SendGridThird-party APIs
Using AWS SDK, Google CloudCloud SDKs
Using LangChain, OpenAI SDKAI/ML libraries

Value: Claude fetches live documentation instead of relying on training data, reducing hallucinated APIs and outdated patterns.


Browser & Frontend

Playwright MCP

Best for: Frontend projects needing browser automation, testing, or screenshots

Recommend WhenExamples
React/Vue/Angular appUI component testing
E2E tests neededUser flow validation
Visual regression testingScreenshot comparisons
Debugging UI issuesSee what user sees
Form testingMulti-step workflows

Value: Claude can interact with your running app, take screenshots, fill forms, and verify UI behavior.

Puppeteer MCP

Best for: Headless browser automation, web scraping

Recommend WhenExamples
PDF generation from HTMLReport generation
Web scraping tasksData extraction
Headless testingCI environments

Databases

Supabase MCP

Best for: Projects using Supabase for backend/database

Recommend WhenExamples
Supabase project detected@supabase/supabase-js in deps
Auth + database needsUser management apps
Real-time featuresLive data sync

Value: Claude can query tables, manage auth, and interact with Supabase storage directly.

Convex MCP

Best for: Projects using Convex as the backend (reactive database + server functions + auth + storage + scheduling, all on one platform)

Recommend WhenExamples
Convex project detectedconvex in deps, convex/ directory present, convex.json at repo root
Real-time / reactive UIuseQuery / useMutation / useAction from convex/react
Mobile + Convexconvex/react-native in deps
AI / chat / agent features on Convex@convex-dev/agent in deps

Value: Claude can introspect the live deployment (tables, function specs, env vars, logs) and execute queries/mutations against it via tools like tables, function-spec, data, run-once-query, logs, env list/set/get. Run via npx convex mcp start.

PostgreSQL MCP

Best for: Direct PostgreSQL database access

Recommend WhenExamples
Raw PostgreSQL usageNo ORM layer
Database migrationsSchema management
Data analysis tasksComplex queries
Debugging data issuesInspect actual data
Neon MCP

Best for: Neon serverless Postgres users

Turso MCP

Best for: Turso/libSQL edge database users


Version Control & DevOps

GitHub MCP

Best for: GitHub-hosted repositories needing issue/PR integration

Recommend WhenExamples
GitHub repository.git with GitHub remote
Issue-driven developmentReference issues in commits
PR workflowsReview, merge operations
GitHub ActionsCI/CD pipeline access
Release managementTag and release automation

Value: Claude can create issues, review PRs, check workflow runs, and manage releases.

GitLab MCP

Best for: GitLab-hosted repositories

Linear MCP

Best for: Teams using Linear for issue tracking

Recommend WhenExamples
Linear workspaceIssue references like ABC-123
Sprint planningBacklog management
Issue creation from codeAuto-create issues for TODOs

Cloud Infrastructure

AWS MCP

Best for: AWS infrastructure management

Recommend WhenExamples
AWS SDK in dependencies@aws-sdk/* packages
Infrastructure as codeTerraform, CDK, SAM
Lambda developmentServerless functions
S3, DynamoDB usageCloud data services
Cloudflare MCP

Best for: Cloudflare Workers, Pages, R2, D1

Recommend WhenExamples
Cloudflare WorkersEdge functions
Pages deploymentStatic site hosting
R2 storageObject storage
D1 databaseEdge SQL database
Vercel MCP

Best for: Vercel deployment and configuration


Monitoring & Observtic

Sentry MCP

Best for: Error tracking and debugging

Recommend WhenExamples
Sentry configured@sentry/* in deps
Production debuggingInvestigate errors
Error patternsGroup similar issues
Release trackingCorrelate deploys with errors

Value: Claude can investigate Sentry issues, find root causes, and suggest fixes.

Datadog MCP

Best for: APM, logs, and metrics


Communication

Slack MCP

Best for: Slack workspace integration

Recommend WhenExamples
Team uses SlackSend notifications
Deployment notificationsAlert channels
Incident responsePost updates
Notion MCP

Best for: Notion workspace for documentation

Recommend WhenExamples
Notion for docsRead/update pages
Knowledge baseSearch documentation
Meeting notesCreate summaries

File & Data

Filesystem MCP

Best for: Enhanced file operations beyond built-in tools

Recommend WhenExamples
Complex file operationsBatch processing
File watchingMonitor changes
Advanced searchCustom patterns
Memory MCP

Best for: Persistent memory across sessions

Recommend WhenExamples
Long-running projectsRemember context
User preferencesStore settings
Learning patternsBuild knowledge

Value: Claude remembers project context, decisions, and patterns across conversations.


Containers & DevOps

Docker MCP

Best for: Container management

Recommend WhenExamples
Docker Compose fileContainer orchestration
Dockerfile presentBuild images
Container debuggingInspect logs, exec
Kubernetes MCP

Best for: Kubernetes cluster management

Recommend WhenExamples
K8s manifestsDeploy, scale pods
Helm chartsPackage management
Cluster debuggingPod logs, status

AI & ML

Exa MCP

Best for: Web search and research

Recommend WhenExamples
Research tasksFind current info
Competitive analysisMarket research
Documentation gapsFind examples

Quick Reference: Detection Patterns

Look ForSuggests MCP Server
Popular npm packagescontext7
React/Vue/Next.jsPlaywright MCP
@supabase/supabase-jsSupabase MCP
convex in deps, convex/ directory, or convex.jsonConvex MCP
pg or postgresPostgreSQL MCP
GitHub remoteGitHub MCP
.linear or Linear refsLinear MCP
@aws-sdk/*AWS MCP
@sentry/*Sentry MCP
docker-compose.ymlDocker MCP
Slack webhook URLsSlack MCP
@anthropic-ai/sdkcontext7 for Anthropic docs

Requirements and compatibility

Written for: Claude Code, Claude apps

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Anthropic
Publisher
Anthropic (Official)
Source
anthropics/claude-plugins-official · plugins/claude-code-setup/skills/claude-automation-recommender · commit 0412be7
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from plugins/claude-code-setup/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Anthropic or Anthropic.

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