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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionclaude-agent-sdkExecute the skills CLI command in your project's root directory to begin installation:
Fetches claude-agent-sdk 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-agent-sdk. Access via /claude-agent-sdk 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: v0.1.45 - Structured outputs (Nov 2025), v0.1.0 - No default system prompt, settingSources required
Major Features:
outputFormat parameter - Define output structure with JSON schema or Zodmessage.structured_outputstructured-outputs-2025-11-13Example:
import { query } from "@anthropic-ai/claude-agent-sdk";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
const schema = z.object({
summary: z.string(),
sentiment: z.enum(['positive', 'neutral', 'negative']),
confidence: z.number().min(0).max(1)
});
const response = query({
prompt: "Analyze this code review feedback",
options: {
model: "claude-sonnet-4-5",
outputFormat: {
type: "json_schema",
json_schema: {
name: "AnalysisResult",
strict: true,
schema: zodToJsonSchema(schema)
}
}
}
});
for await (const message of response) {
if (message.type === 'result' && message.structured_output) {
// Guaranteed to match schema
const validated = schema.parse(message.structured_output);
console.log(`Sentiment: ${validated.sentiment}`);
}
}
Zod Compatibility (v0.1.71+): SDK supports both Zod v3.24.1+ and Zod v4.0.0+ as peer dependencies. Import remains import { z } from "zod" for either version.
plugins array - Load local plugin pathsAll 12 Hook Events:
| Hook | When Fired | Use Case |
|---|---|---|
PreToolUse |
Before tool execution | Validate, modify, or block tool calls |
PostToolUse |
After tool execution | Log results, trigger side effects |
Notification |
Agent notifications | Display status updates |
UserPromptSubmit |
User prompt received | Pre-process or validate input |
SubagentStart |
Subagent spawned | Track delegation, log context |
SubagentStop |
Subagent completed | Aggregate results, cleanup |
PreCompact |
Before context compaction | Save state before truncation |
PermissionRequest |
Permission needed | Custom approval workflows |
Stop |
Agent stopping | Cleanup, final logging |
SessionStart |
Session begins | Initialize state |
SessionEnd |
Session ends | Persist state, cleanup |
Error |
Error occurred | Custom error handling |
Hook Configuration:
const response = query({
prompt: "...",
options: {
hooks: {
PreToolUse: async (input) => {
console.log(`Tool: ${input.toolName}`);
return { allow: true }; // or { allow: false, message: "..." }
},
PostToolUse: async (input) => {
await logToolUsage(input.toolName, input.result);
}
}
}
});
fallbackModel - Automatic model fallback on failuresmaxThinkingTokens - Control extended thinking budgetstrictMcpConfig - Strict MCP configuration validationcontinue - Resume with new prompt (differs from resume)permissionMode: 'plan' - New permission mode for planning workflows📚 Docs: https://platform.claude.com/docs/en/agent-sdk/structured-outputs
Key signature:
query(prompt: string | AsyncIterable<SDKUserMessage>, options?: Options)
-> AsyncGenerator<SDKMessage>
Critical Options:
outputFormat - Structured JSON schema validation (v0.1.45+)settingSources - Filesystem settings loading ('user'|'project'|'local')canUseTool - Custom permission logic callbackagents - Programmatic subagent definitionsmcpServers - MCP server configurationpermissionMode - 'default'|'acceptEdits'|'bypassPermissions'|'plan'betas - Enable beta features (e.g., 1M context window)sandbox - Sandbox settings for secure executionenableFileCheckpointing - Enable file state snapshotssystemPrompt - System prompt (string or preset object)Enable 1 million token context window:
const response = query({
prompt: "Analyze this large codebase",
options: {
betas: ['context-1m-2025-08-07'], // Enable 1M context
model: "claude-sonnet-4-5"
}
});
Two forms of systemPrompt:
// 1. Simple string
systemPrompt: "You are a helpful coding assistant."
// 2. Preset with optional append (preserves Claude Code defaults)
systemPrompt: {
type: 'preset',
preset: 'claude_code',
append: "\n\nAdditional context: Focus on security."
}
Use preset form when you want Claude Code's default behaviors plus custom additions.
Tool Control:
allowedTools - Whitelist (takes precedence)disallowedTools - BlacklistcanUseTool - Custom permission callback (see Permission Control section)Built-in Tools: Read, Write, Edit, Bash, Grep, Glob, WebSearch, WebFetch, Task, NotebookEdit, BashOutput, KillBash, ListMcpResources, ReadMcpResource, AskUserQuestion
Enable user interaction during agent execution:
const response = query({
prompt: "Review and refactor the codebase",
options: {
allowedTools: ["Read", "Write", "Edit", "AskUserQuestion"]
}
});
// Agent can now ask clarifying questions
// Questions appear in message stream as tool_call with name "AskUserQuestion"
Use cases:
Three forms of tool configuration:
// 1. Exact allowlist (string array)
tools: ["Read", "Write", "Grep"]
// 2. Disable all tools (empty array)
tools: []
// 3. Preset with defaults (object form)
tools: { type: 'preset', preset: 'claude_code' 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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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4.8★★★★★56 reviews- OOmar Verma★★★★★Dec 24, 2024
Registry listing for claude-agent-sdk matched our evaluation — installs cleanly and behaves as described in the markdown.
- SSofia Gill★★★★★Dec 24, 2024
Useful defaults in claude-agent-sdk — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- SShikha Mishra★★★★★Dec 12, 2024
claude-agent-sdk fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- NNoor Huang★★★★★Dec 12, 2024
I recommend claude-agent-sdk for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- RRen Menon★★★★★Nov 23, 2024
claude-agent-sdk has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AAditi Bhatia★★★★★Nov 15, 2024
Useful defaults in claude-agent-sdk — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- NNia Ramirez★★★★★Nov 15, 2024
Registry listing for claude-agent-sdk matched our evaluation — installs cleanly and behaves as described in the markdown.
- YYash Thakker★★★★★Nov 3, 2024
claude-agent-sdk is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- SSoo Thompson★★★★★Nov 3, 2024
claude-agent-sdk reduced setup friction for our internal harness; good balance of opinion and flexibility.
- DDhruvi Jain★★★★★Oct 22, 2024
Keeps context tight: claude-agent-sdk is the kind of skill you can hand to a new teammate without a long onboarding doc.
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