Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Nex Claude Api Integration

    4

    Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.

    Free

    3 installsSecurity scanned
    nex-claude-api-integration

    nex-claude-api-integration

    Example session with this skill installed

    I need to call Claude in my Python app to score 10,000 leads and write emails for the good ones. I need it to be cost-effective and handle API timeouts.

    • Read your context and instructions
    • Compiled the nex-claude-api-integration

    I've generated a claude-integration/ package. It uses a cheap model for score_prospect() and a strong model for generate_email(). All calls are wrapped in a typed error taxonomy with token tracking. The factory handles model routing so your business logic stays clean.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Production-Grade Claude Integration for Python

    Stop writing fragile, one-off API calls. This skill builds a robust, production-ready integration layer for the Anthropic Claude API using professional software architecture patterns. It moves beyond simple SDK scripts to create a resilient provider abstraction that handles the complexities of running LLMs at scale.

    Features

    • Dual-Model Strategy: Routes high-volume tasks (like scoring or classification) to cheaper models while reserving premium models for complex generation, optimizing your API spend automatically.
    • Provider Abstraction: Implementation follows an AIProvider interface, allowing you to swap models or providers in the future without refactoring your entire backend.
    • Robust Error Taxonomy: Includes specific exception handling for timeouts, transient API errors, and invalid outputs, mapping directly to smart retry policies.
    • Built-in Token Accounting: Every call returns precise input and output token counts, enabling real-time cost tracking and budgeting.
    • Resilient Generation Loop: Features a "validate-then-retry" logic that attempts to salvage failed generations with stricter prompting before failing.

    Supported Tools

    Standardized for Python backends using the Anthropic Messages API. The output is structured as a clean, modular package (base.py, factory.py, anthropic_provider.py) ready for integration into FastAPI, Flask, or Django applications.

    Built by Nex AI. More skills and info at nex-ai.be and slopsome.com.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Listed3 months ago
    Updated1 month ago

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