$22
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionclaude-apiExecute the skills CLI command in your project's root directory to begin installation:
Fetches claude-api from jezweb/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate claude-api. Access via /claude-api in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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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
Major Features:
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:
structured-outputs-2025-11-13 (via betas array)Limitations:
minimum, maximum)Performance Characteristics:
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:
⚠️ SDK v0.71.1+ Deprecation: Direct .parsed property access is deprecated. Check SDK docs for updated API.
Retired (return errors):
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.
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
Pre-built skills for Office files
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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claude-api is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added claude-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
claude-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: claude-api is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: claude-api is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for claude-api matched our evaluation — installs cleanly and behaves as described in the markdown.
claude-api is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
claude-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for claude-api matched our evaluation — installs cleanly and behaves as described in the markdown.
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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