claude-api

jezweb/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jezweb/claude-skills --skill claude-api
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skill.md

Claude API - Structured Outputs & Error Prevention Guide

Package: @anthropic-ai/[email protected] Breaking Changes: Oct 2025 - Claude 3.5/3.7 models retired, Nov 2025 - Structured outputs beta Last Updated: 2026-01-09


What's New in v0.69.0+ (Nov 2025)

Major Features:

1. Structured Outputs (v0.69.0, Nov 14, 2025) - CRITICAL ⭐

Guaranteed JSON schema conformance - Claude's responses strictly follow your JSON schema with two modes.

⚠️ ACCURACY CAVEAT: Structured outputs guarantee format compliance, NOT accuracy. Models can still hallucinate—you get "perfectly formatted incorrect answers." Always validate semantic correctness (see below).

JSON Outputs (output_format) - For data extraction and formatting:

import Anthropic from '@anthropic-ai/sdk';

const anthropic = new Anthropic({
  apiKey: process.env.ANTHROPIC_API_KEY,
});

const message = await anthropic.messages.create({
  model: 'claude-sonnet-4-5-20250929',
  max_tokens: 1024,
  messages: [{ role: 'user', content: 'Extract contact info: John Doe, [email protected], 555-1234' }],
  betas: ['structured-outputs-2025-11-13'],
  output_format: {
    type: 'json_schema',
    json_schema: {
      name: 'Contact',
      strict: true,
      schema: {
        type: 'object',
        properties: {
          name: { type: 'string' },
          email: { type: 'string' },
          phone: { type: 'string' }
        },
        required: ['name', 'email', 'phone'],
        additionalProperties: false
      }
    }
  }
});

// Guaranteed valid JSON matching schema
const contact = JSON.parse(message.content[0].text);
console.log(contact.name); // "John Doe"

Strict Tool Use (strict: true) - For validated function parameters:

const message = await anthropic.messages.create({
  model: 'claude-sonnet-4-5-20250929',
  max_tokens: 1024,
  messages: [{ role: 'user', content: 'Get weather for San Francisco' }],
  betas: ['structured-outputs-2025-11-13'],
  tools: [{
    name: 'get_weather',
    description: 'Get current weather',
    input_schema: {
      type: 'object',
      properties: {
        location: { type: 'string' },
        unit: { type: 'string', enum: ['celsius', 'fahrenheit'] }
      },
      required: ['location'],
      additionalProperties: false
    },
    strict: true  // ← Guarantees schema compliance
  }]
});

Requirements:

  • Beta header: structured-outputs-2025-11-13 (via betas array)
  • Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Opus 4 (best models only)
  • SDK: v0.69.0+ required

Limitations:

  • ❌ No recursive schemas
  • ❌ No numerical constraints (minimum, maximum)
  • ❌ Limited regex support (no backreferences/lookahead)
  • ❌ Incompatible with citations and message prefilling
  • ⚠️ Grammar compilation adds latency on first request (cached 24hrs)

Performance Characteristics:

  • First request: +200-500ms latency for grammar compilation
  • Subsequent requests: Normal latency (grammar cached for 24 hours)
  • Cache sharing: Only with IDENTICAL schemas (small changes = recompilation)

Pre-warming critical schemas:

// Pre-compile schemas during server startup
const warmupMessage = await anthropic.messages.create({
  model: 'claude-sonnet-4-5-20250929',
  max_tokens: 10,
  messages: [{ role: 'user', content: 'warmup' }],
  betas: ['structured-outputs-2025-11-13'],
  output_format: {
    type: 'json_schema',
    json_schema: YOUR_CRITICAL_SCHEMA
  }
});
// Later requests use cached grammar

Semantic Validation (CRITICAL):

const message = await anthropic.messages.create({
  model: 'claude-sonnet-4-5-20250929',
  messages: [{ role: 'user', content: 'Extract contact: John Doe' }],
  betas: ['structured-outputs-2025-11-13'],
  output_format: {
    type: 'json_schema',
    json_schema: contactSchema
  }
});

const contact = JSON.parse(message.content[0].text);

// ✅ Format is guaranteed valid
// ❌ Content may be hallucinated

// ALWAYS validate semantic correctness
if (!isValidEmail(contact.email)) {
  throw new Error('Hallucinated email detected');
}
if (contact.age < 0 || contact.age > 120) {
  throw new Error('Implausible age value');
}

When to Use:

  • Data extraction from unstructured text
  • API response formatting
  • Agentic workflows requiring validated tool inputs
  • Eliminating JSON parse errors

⚠️ SDK v0.71.1+ Deprecation: Direct .parsed property access is deprecated. Check SDK docs for updated API.

2. Model Changes (Oct 2025) - BREAKING

Retired (return errors):

  • ❌ Claude 3.5 Sonnet (all versions)
  • ❌ Claude 3.7 Sonnet - DEPRECATED (Oct 28, 2025)

Active Models (Jan 2026):

Model ID Context Best For Cost (per MTok)
Claude Opus 4.5 claude-opus-4-5-20251101 200k Flagship - best reasoning, coding, agents $5/$25 (in/out)
Claude Sonnet 4.5 claude-sonnet-4-5-20250929 200k Balanced performance $3/$15 (in/out)
Claude Opus 4 claude-opus-4-20250514 200k High capability $15/$75
Claude Haiku 4.5 claude-haiku-4-5-20250929 200k Near-frontier, fast $1/$5

Note: Claude 3.x models (3.5 Sonnet, 3.7 Sonnet, etc.) are deprecated. Use Claude 4.x+ models.

3. Context Management (Oct 28, 2025)

Clear Thinking Blocks - Automatic thinking block cleanup:

const message = await anthropic.messages.create({
  model: 'claude-sonnet-4-5-20250929',
  max_tokens: 4096,
  messages: [{ role: 'user', content: 'Solve complex problem' }],
  betas: ['clear_thinking_20251015']
});
// Thinking blocks automatically managed

4. Agent Skills API (Oct 16, 2025)

Pre-built skills for Office files

how to use claude-api

How to use claude-api on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add claude-api
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jezweb/claude-skills --skill claude-api

The skills CLI fetches claude-api from GitHub repository jezweb/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/claude-api

Reload or restart Cursor to activate claude-api. Access the skill through slash commands (e.g., /claude-api) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.651 reviews
  • Chaitanya Patil· Dec 28, 2024

    claude-api is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sophia Li· Dec 28, 2024

    We added claude-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kiara Kapoor· Dec 24, 2024

    claude-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aisha Okafor· Dec 16, 2024

    Keeps context tight: claude-api is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Piyush G· Nov 19, 2024

    Keeps context tight: claude-api is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sophia Khanna· Nov 15, 2024

    Registry listing for claude-api matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hassan Park· Nov 7, 2024

    claude-api is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Hassan Chen· Oct 26, 2024

    claude-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Shikha Mishra· Oct 10, 2024

    Registry listing for claude-api matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sophia Wang· Oct 6, 2024

    Keeps context tight: claude-api is the kind of skill you can hand to a new teammate without a long onboarding doc.

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