claude skill file generator

    1

    Architects compact, token-aware, and deploy-ready SKILL.md files with structured build reports.

    $5

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIDeepSeekDeepSeekMuseMuse+22 more

    claude skill file generator

    Example session with this skill installed

    Create a skill called 'sql-optimizer' for Claude Code that takes slow Postgres queries and returns optimized versions using appropriate indexes and CTE refactoring.

    • Read your context and instructions
    • Compiled the claude file generator
    ---
name: sql-optimizer
description: Optimizes slow PostgreSQL queries by refactoring CTEs and identifying missing indexes.
---

# SQL Optimizer
1. Analyze the provided SQL query for bottlenecks.
2. ...

    Score: 10/10
    Tokens: ~450
    Setup: None required.
    Risk: None.

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

    About this skill

    The problem

    Writing Claude skills from scratch often leads to bloated prompt files that exceed token limits or fail to trigger correctly due to vague frontmatter. Developers spend too much time formatting YAML and structuring imperative logic instead of defining the actual capability.

    What it does

    • Generates a single, production-ready SKILL.md file with optimized YAML frontmatter.
    • Enforces token discipline to keep the final file under 1,200 tokens for efficient inference.
    • Constructs specific activation logic and scoped, imperative process steps for predictable execution.
    • Includes a self-scoring build report that audits activation clarity, correctness, and deployability.

    Why this beats prompting it yourself

    General-purpose LLMs often produce conversational or repetitive instructions that waste context window space. This skill applies strict architectural constraints and token-aware trimming to ensure your skill is compact and high-performance.

    Use cases

    • Architecting new Claude skills for specific coding or automation tasks.
    • Refactoring existing prompt instructions into structured SKILL.md files.
    • Standardizing internal skill development with a consistent build report and smoke check.

    Known limitations

    Produces only the SKILL.md and minimal package metadata. It will not generate sample data, credentials, or complex folder structures.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skill Creator Skills.

    Focuses on single-file SKILL.md generation. Does not create sample datasets, actual credentials, or directory symlinks.

    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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    Recently published to Agensi

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    Trust & safety

    Security scan

    Security scan passed 3 months ago

    Permissions

    No special permissions declared or detected

    Listed3 months ago

    What's inside

    Frequently Asked Questions

    This skill automates the creation of high-performance SKILL.md files by applying token-aware trimming and strict YAML formatting, solving the issue of bloated prompts that waste context window space or fail to trigger.

    While specifically optimized for Claude Code and Claude-based agentic workflows, the resulting SKILL.md follows standardized Markdown and YAML structures compatible with most LLM-based agent frameworks that utilize structured instruction files.

    The skill outputs a production-ready SKILL.md file and a comprehensive build report that audits the logic, activation triggers, and token count to ensure the skill is ready for immediate deployment.

    Yes, this skill is excellent for refactoring; simply provide your current prompt or instruction set, and the generator will restructure it into a compact, imperative format under a 1,200-token limit.

    No, this skill focuses strictly on the architectural logic and instruction set of the agent; it does not generate external dependencies, sample datasets, or API credentials.

    The generator uses a self-scoring build report to verify activation clarity and instruction density, ensuring your skill remains performant and doesn't suffer from 'instruction drift' or excessive token usage.

    New in Agents & Orchestration