claude-automation-recommender

仓库: anthropics/claude-plugins-official
安装量: 1.1K
排名: #1220

安装

npx skills add https://github.com/anthropics/claude-plugins-official --skill claude-automation-recommender

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|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:

Category What to Look For Informs Recommendations For Language/Framework package.json, pyproject.toml, import patterns Hooks, MCP servers Frontend stack React, Vue, Angular, Next.js Playwright MCP, frontend skills Backend stack Express, FastAPI, Django API documentation tools Database Prisma, Supabase, raw SQL Database MCP servers External APIs Stripe, OpenAI, AWS SDKs context7 MCP for docs Testing Jest, pytest, Playwright configs Testing hooks, subagents CI/CD GitHub Actions, CircleCI GitHub MCP server Issue tracking Linear, Jira references Issue tracker MCP Docs patterns OpenAPI, JSDoc, docstrings Documentation 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 Signal Recommended MCP Server Uses popular libraries (React, Express, etc.) context7 - Live documentation lookup Frontend with UI testing needs Playwright - Browser automation/testing Uses Supabase Supabase MCP - Direct database operations PostgreSQL/MySQL database Database MCP - Query and schema tools GitHub repository GitHub MCP - Issues, PRs, actions Uses Linear for issues Linear MCP - Issue management AWS infrastructure AWS MCP - Cloud resource management Slack workspace Slack MCP - Team notifications Memory/context persistence Memory MCP - Cross-session memory Sentry error tracking Sentry MCP - Error investigation Docker containers Docker MCP - Container management B. Skills Recommendations

See references/skills-reference.md for details.

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

Codebase Signal Skill Plugin Building plugins skill-development plugin-dev Git commits commit commit-commands React/Vue/Angular frontend-design frontend-design Automation rules writing-rules hookify Feature planning feature-dev feature-dev

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

Codebase Signal Skill to Create Invocation API routes api-doc (with OpenAPI template) Both Database project create-migration (with validation script) User-only Test suite gen-test (with example tests) User-only Component library new-component (with templates) User-only PR workflow pr-check (with checklist) User-only Releases release-notes (with git context) User-only Code style project-conventions Claude-only Onboarding setup-dev (with prereq script) User-only C. Hooks Recommendations

See references/hooks-patterns.md for configurations.

Codebase Signal Recommended Hook Prettier configured PostToolUse: auto-format on edit ESLint/Ruff configured PostToolUse: auto-lint on edit TypeScript project PostToolUse: type-check on edit Tests directory exists PostToolUse: run related tests .env files present PreToolUse: block .env edits Lock files present PreToolUse: block lock file edits Security-sensitive code PreToolUse: require confirmation D. Subagent Recommendations

See references/subagent-templates.md for templates.

Codebase Signal Recommended Subagent Large codebase (>500 files) code-reviewer - Parallel code review Auth/payments code security-reviewer - Security audits API project api-documenter - OpenAPI generation Performance critical performance-analyzer - Bottleneck detection Frontend heavy ui-reviewer - Accessibility review Needs more tests test-writer - Test generation E. Plugin Recommendations

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

Codebase Signal Recommended Plugin General productivity anthropic-agent-skills - Core skills bundle Document workflows Install docx, xlsx, pdf skills Frontend development frontend-design plugin Building AI tools mcp-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 "" --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:)"] } }

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