Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseOpenClawOpenClaw+21 more

    skill md monetization architect

    1

    Architect, validate, and package high-value AI agent skills for developer marketplaces.

    $15

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    Converts to your local currency at checkout

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    skill md monetization architect

    skill md monetization architect

    Example session with this skill installed

    I want to build a skill that helps developers audit React performance. Help me scaffold the project structure, define the SKILL.md frontmatter, and plan the supporting files.

    • Read your context and instructions
    • Compiled the md monetization architect

    I have architected a premium React Performance Auditor skill package. This structure moves beyond a basic prompt by providing the agent with specific linting rules and "before/after" performance benchmarks to follow.

    React Performance Auditor Skill Project

    Directory Structure

    react-performance-auditor/
├── SKILL.md
├── README.md
├── references/
│   └── performance-checklists.md
├── examples/
│   ├── unoptimized-component.tsx
│   └── optimized-component.tsx
└── scripts/
    └── install-perf-deps.sh

    SKILL.md Frontmatter & Triggers

    name: react-performance-auditor
description: Use when the user asks to analyze React components for re-render issues, audit hook dependencies, identify large bundle sizes, or optimize Context API usage.
version: 1.0.0
tags: [react, performance, optimization, web-dev, audit]

    Supporting Files Strategy

    FilePurposeValue Add
    performance-checklists.mdEncodes standards for useMemo, useCallback, and React.memo.Prevents generic advice; enforces strict rules.
    examples/Provides a ground-truth "After" sample for the LLM to emulate.Increases accuracy and consistency.
    install-perf-deps.shAutomates local setup of why-did-you-render and source-map-explorer.Makes the skill a complete workflow tool.

    Next steps

    1. Create the references/performance-checklists.md file using the rules we discussed.
    2. Draft 5 positive test prompts (e.g., "Find why this Header component re-renders every second") to build your eval suite.
    3. Set the initial price point at $15 based on the inclusion of automated setup scripts.
    SKILL.md

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

    What you get

    Generate market-ready SKILL.md files with precise trigger conditions.Design evaluation suites to benchmark agent pass rates and reliability.Pivot generic prompts into high-value, opinionated developer tools.Create full project scaffolds including reference docs and helper scripts.

    About this skill

    The problem

    Vague AI agent skills without clear triggers or opinionated standards fail to sell. Developers often struggle to package their prompts into high-value, production-grade assets that solve repetitive, high-stakes workflows.

    What it does

    • Evaluates skill ideas for commercial viability and pivots them toward high-demand developer workflows.
    • Generates structured SKILL.md files with precise frontmatter and trigger-based descriptions.
    • Architects value-add supporting files including references/, examples/, and local helper scripts/.
    • Designs comprehensive evaluation suites with positive/negative prompts and pass/fail criteria.
    • Calculates tier-based pricing strategies based on the complexity and scope of the skill package.

    Why this beats prompting it yourself

    Generic prompting leads to inconsistent results and low marketplace value. This skill encodes the specific architecture requirements of the Agensi ecosystem, ensuring your skills have the strict triggers, directory structures, and benchmarks necessary to command premium prices.

    Use cases

    • Transforming a basic prompt into a multi-file premium skill package.
    • Building a benchmarking suite to ensure skill reliability across model updates.
    • Refining a generic idea into a high-value, opinionated developer tool.
    • Structuring a complex agent project with specific reference rules and scripts.

    Known limitations

    Does not provide root-access scripts or store sensitive API keys. Users must handle environment variables locally via .env files.

    How to install

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

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    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.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 6 days ago

    • Passed all security checks, Safe to install

    Listed6 days ago

    What's inside

    Frequently Asked Questions