Claude Opus 4.7: Anthropic's Official Prompt Library and Best Patterns

One-sentence takeaway

Anthropic's official prompt library provides a collection of validated prompting patterns. Its core principles are "describe the outcome, not the steps" and "give Claude a way to check its own work"; these patterns can be used directly for everyday development tasks with Claude Opus 4.7.

Use cases

• Suitable tasks: API development, database migrations, performance optimization, error debugging, documentation generation, and feature implementation

• Unsuitable tasks: Low-level systems programming that requires extremely precise control; the official patterns are better suited to mid- and high-level abstraction tasks

• Applicable model version: Claude Opus 4.7

• Applicable client, Agent, or API: Claude API, Claude Code

• Recommended reasoning levels and parameters: Use xhigh for complex tasks and high for general tasks

Ready-to-use content

Core patterns (officially validated)

Pattern 1: Describe the outcome, not the steps

❌ Wrong approach:
"Open src/api/routes.ts and add rate limiting middleware on line 42,
 then modify config.ts to add the configuration option..."

✅ Right approach:
"Add rate limiting to the public API and make sure existing tests still pass"

Principle: Let Claude find the right files and locations on its own instead of manually specifying every step.

Pattern 2: Give Claude a way to check its own work

❌ Wrong approach:
"Implement user authentication"

✅ Right approach:
"Implement user authentication, run tests to verify that all cases pass,
 then try calling the API with an invalid token to confirm it is rejected"

Principle: Ask Claude to run, test, compare, or verify within the same prompt so that it iterates instead of stopping after a single attempt.

Pattern 3: Specific prompt examples

API development:

add rate limiting to the public API and make sure existing tests still pass

Database migration:

write the migration, run it against the dev database, 
and confirm the schema matches

Feature implementation:

add a settings page that follows the same layout as the profile page

Performance optimization:

get the bundle size under 200KB and show me what you removed

Error debugging:

why is the build failing? @build.log

Documentation generation:

explain how the payment retry logic works as an HTML page with a diagram, 
then open it in my browser

Advanced workflows

Save a prompt as a Skill

# 1. Create the skill directory
mkdir -p .claude/skills/api-rate-limit

# 2. Create SKILL.md
cat > .claude/skills/api-rate-limit/SKILL.md << 'EOF'
---
name: api-rate-limit
description: Add rate limiting to API endpoints, including configuration and tests
---

# API rate limiting

## Steps
1. Check the current API route structure
2. Add rate limiting middleware
3. Configure the limit parameters (requests/time window)
4. Make sure existing tests pass
5. Add new test cases to verify that the limit takes effect

## Verification
- Run `npm test` to ensure all tests pass
- Manually test that requests exceeding the limit are rejected
EOF

Use CLAUDE.md to record conventions

# CLAUDE.md

## Project conventions
- All API endpoints must have rate limiting
- Use the express-rate-limit package
- Limit: 100 requests/15 minutes/IP
- Tests must cover normal requests and rate-limited requests

## Common patterns
- When adding new features, always check existing tests first
- After performance optimization, compare metrics before and after optimization
- When debugging errors, reproduce the problem before fixing it

Testing/workflow steps

1. Select a pattern from the official prompt library that matches your task

2. Adjust the prompt to your project context (replace specific feature names, file paths, and so on)

3. Include verification steps in the prompt (run tests, inspect output, and compare it with expectations)

4. If it works well, save the prompt as a Skill for the team to reuse

5. Record effective patterns and conventions in CLAUDE.md

6. For recurring tasks, use a validated Skill instead of rewriting the prompt from scratch

Original evidence and data

• The official documentation explicitly states that these patterns are "based on published Anthropic resources"

• The prompt library includes common workflows, best practices, and examples of team use

• The documentation emphasizes two core principles:

  1. "Describe the outcome, not the steps" — let Claude find the files

  2. "Give Claude a way to check its own work" — ask it to run, test, compare, or verify

• Anthropic officially recommends saving effective prompts as Skills and recording conventions in CLAUDE.md

• The documentation mentions plan mode for large or high-risk changes; it displays the file list before editing

Scope and limitations

• These patterns apply to most mid- and high-level abstraction tasks

• Low-level systems programming or tasks requiring extremely precise control may need more detailed steps

• Prompt effectiveness depends on Claude Opus 4.7's comprehension and the project context

• Not every task is suited to the "describe the outcome" pattern; some complex tasks may require step-by-step guidance

• Skills and CLAUDE.md require ongoing team maintenance and updates

Source excerpt or observation (short compliant quotation only)

Official documentation: "The prompts above share a few patterns. Recognizing them helps you adapt any prompt here to your own task. Describe the outcome, not the steps. Say what you want and let Claude find the files."

"Give it a way to check its own work. Ask for run, test, compare, or verify in the same prompt so Claude iterates instead of stopping after one attempt."