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    Token Cost Slasher & Context Compressor

    1

    Enterprise token cost reduction engine and context compressor. Slashes LLM API token spend by 40%-70% via semantic AST skeletoning, context window pruning, and prompt-caching optimization.

    $19

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    About this skill

    The Token Cost Slasher is an enterprise context compression and cost-reduction engine designed to slash LLM API billing by 40% to 70% with zero degradation in model reasoning accuracy.

    As autonomous agent workflows scale, uncompressed repositories, repetitive chat transcripts, and un-cached system prompts cause API bills to balloon while degrading model reasoning due to the "lost in the middle" attention phenomenon.

    When feeding repository context to an agent, transmitting complete implementation bodies wastes 60%–80% of context tokens.

    LLM providers (Anthropic Claude, OpenAI, Google Gemini) offer prompt caching discounts (up to 90% cheaper input tokens) when prompts share identical prefix sequences.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Workflow Automation.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Permissions

    Operates strictly via local static analysis. Zero external network access.

    Listed8 days ago

    What's inside

    Frequently Asked Questions

    Enterprise token cost reduction engine and context compressor. Slashes LLM API token spend by 40%-70% via semantic AST skeletoning, context window pruning, and prompt-caching optimization.

    This skill uses the open SKILL.md standard. Use it through an MCP-compatible agent connected to Agensi, and check the compatibility information on this page for confirmed agents and required capabilities.

    Connect your AI agent to Agensi through MCP, then ask it to use Token Cost Slasher & Context Compressor on your task. Your agent loads the latest approved version each time. Paid skills require a purchase or active subscription. Skill files are not available for download; your licence does not allow you to save, copy or export any part of a skill.

    New in Workflow Automation