+
+## Author
+
+Isabella He (isabella@anthropic.com)
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+---
+name: claude-automation-recommender
+description: 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.
+tools: Read, Glob, Grep, Bash
+---
+
+# 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:
+
+```bash
+# 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](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](references/skills-reference.md) for details.
+
+Create skills in `.claude/skills/
+
+### Command: /revise-claude-md
+
+Captures learnings from the current session:
+
+```
+/revise-claude-md
+```
+
+
+
+## Author
+
+Isabella He (isabella@anthropic.com)
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+---
+description: Update CLAUDE.md with learnings from this session
+allowed-tools: Read, Edit, Glob
+---
+
+Review this session for learnings about working with Claude Code in this codebase. Update CLAUDE.md with context that would help future Claude sessions be more effective.
+
+## Step 1: Reflect
+
+What context was missing that would have helped Claude work more effectively?
+- Bash commands that were used or discovered
+- Code style patterns followed
+- Testing approaches that worked
+- Environment/configuration quirks
+- Warnings or gotchas encountered
+
+## Step 2: Find CLAUDE.md Files
+
+```bash
+find . -name "CLAUDE.md" -o -name ".claude.local.md" 2>/dev/null | head -20
+```
+
+Decide where each addition belongs:
+- `CLAUDE.md` - Team-shared (checked into git)
+- `.claude.local.md` - Personal/local only (gitignored)
+
+## Step 3: Draft Additions
+
+**Keep it concise** - one line per concept. CLAUDE.md is part of the prompt, so brevity matters.
+
+Format: `Current description: __SKILL_DESCRIPTION_PLACEHOLDER__
+ +| Query | +Should Trigger | +Actions | +
|---|
Original: {html.escape(data.get('original_description', 'N/A'))}
+Best: {html.escape(data.get('best_description', 'N/A'))}
+Best Score: {data.get('best_score', 'N/A')} {'(test)' if best_test_score else '(train)'}
+Iterations: {data.get('iterations_run', 0)} | Train: {data.get('train_size', '?')} | Test: {data.get('test_size', '?')}
+| Iter | +Train | +Test | +Description | +""") + + # Add column headers for train queries + for qinfo in train_queries: + polarity = "positive-col" if qinfo["should_trigger"] else "negative-col" + html_parts.append(f'{html.escape(qinfo["query"])} | \n') + + # Add column headers for test queries (different color) + for qinfo in test_queries: + polarity = "positive-col" if qinfo["should_trigger"] else "negative-col" + html_parts.append(f'{html.escape(qinfo["query"])} | \n') + + html_parts.append("""
|---|---|---|---|---|---|
| {iteration} | +{train_correct}/{train_runs} | +{test_correct}/{test_runs} | +{html.escape(description)} | +""") + + # Add result for each train query + for qinfo in train_queries: + r = train_by_query.get(qinfo["query"], {}) + did_pass = r.get("pass", False) + triggers = r.get("triggers", 0) + runs = r.get("runs", 0) + + icon = "✓" if did_pass else "✗" + css_class = "pass" if did_pass else "fail" + + html_parts.append(f'{icon}{triggers}/{runs} | \n') + + # Add result for each test query (with different background) + for qinfo in test_queries: + r = test_by_query.get(qinfo["query"], {}) + did_pass = r.get("pass", False) + triggers = r.get("triggers", 0) + runs = r.get("runs", 0) + + icon = "✓" if did_pass else "✗" + css_class = "pass" if did_pass else "fail" + + html_parts.append(f'{icon}{triggers}/{runs} | \n') + + html_parts.append("