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생산성 및 협업 · SKILL.md

clade-core-workflow-b

clade-core-workflow-b

Redirect to claude-embeddings-search for tool use (function calling) and agentic loop patterns with Claude. Use when looking for the secondary Anthropic workflow. Trigger with "anthropic tools", "claude function calling".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: clade-core-workflow-b description: 'Redirect to claude-embeddings-search for tool use (function calling)

and agentic loop patterns with Claude.

Use when looking for the secondary Anthropic workflow.

Trigger with "anthropic tools", "claude function calling".

' allowed-tools: Read version: 1.1.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • anthropic
  • claude compatibility: Designed for Claude Code

Anthropic Core Workflow B → Tool Use

Overview

This skill redirects to clade-embeddings-search which covers tool use (function calling), the agentic tool loop, and building Claude-powered agents.

Prerequisites

  • Completed clade-model-inference
  • Understanding of JSON Schema for tool definitions

Instructions

Step 1: Use claude-embeddings-search instead

This skill has been replaced. The secondary Anthropic workflow is tool use / function calling, covered in full by clade-embeddings-search.

Step 2: Key topics covered there

  • Defining tools with JSON Schema input schemas
  • Sending messages with tools attached
  • Executing tool calls and returning results
  • Building an agentic loop that runs until Claude stops calling tools
  • Error handling for tool use edge cases

Output

  • Redirected to clade-embeddings-search
  • Complete tool use patterns available there

Error Handling

IssueSolution
Skill not foundRun clade-embeddings-search directly
Tool use errorsSee tool validation patterns in that skill

Examples

// Use claude-embeddings-search for the full tool use guide
const tools: Anthropic.Tool[] = [{
  name: 'get_weather',
  description: 'Get weather for a city',
  input_schema: {
    type: 'object',
    properties: { city: { type: 'string' } },
    required: ['city'],
  },
}];
const response = await client.messages.create({
  model: 'claude-sonnet-4-20250514',
  max_tokens: 1024,
  tools,
  messages: [{ role: 'user', content: "What's the weather in Paris?" }],
});

Resources

Next Steps

Run clade-embeddings-search for the complete tool use guide.

저장한 Skills