Agent skill · marketing growth · anthropics
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.
Why this skill is useful
Provides tailored recommendations for Claude Code automations based on specific codebase patterns and tools, which the AI wouldn't reliably generate on its own.
What it needs
Requires bash installed locally. About 6k tokens when loaded. Last updated 2026-08-07. 33,212 stars on the source repository.
What this skill does
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: 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, Convex, raw SQL Database / backend 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 reference …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills anthropics/claude-automation-recommender