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SkillKeeper Review

SkillKeeper is a local-first application designed to monitor AI setups by tracking skills, agents, and tools used in each session, providing insights into cost and performance metrics.

shipped Sep 29, 2026agentspaid
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SkillKeeper — product screenshot

Why it matters

1Offers a free tier for basic functionality.
2Available as a one-time purchase for $19, including lifetime updates.
3Compatible with Claude Code’s SKILL.md format for integration.
4Specifically designed for macOS platforms.

About SkillKeeper

Business Model
one-time purchase
Platforms
macOS
Target Audience
AI developers and researchers using local setups

Pricing Plans

Free Version
Free
  • • Unlimited skill & subskill tracking
  • • Analytics & activity timelines
  • • Skills, agents & tools
  • • Search, sort & organize
Paid Version
$19 / one-time
  • • Unlimited edits & fine-tuning
  • • Always-on conflict protection
  • • Manage skills, agents & tools
  • • Customize skill triggers

Specs

API Available

Yes, public API

Screenshots

overview

What is SkillKeeper?

SkillKeeper is an AI setup monitoring tool that enables AI developers and researchers using local setups to track skills, agents, and tools used in each session. It identifies cost and performance metrics associated with these sessions, providing insights into usage patterns and potential blind spots. The application features a local-first design, ensuring data privacy and direct control over AI setup monitoring.

features

Key Features of SkillKeeper

SkillKeeper provides a comprehensive suite of features for monitoring and analyzing AI setups, focusing on local-first operation and detailed metric tracking.

  • Local-first design for enhanced data control and privacy.
  • Tracks skills, agents, and tools utilized in AI sessions.
  • Provides analytics on session performance metrics.
  • Offers a one-time purchase model with lifetime updates.
  • Compatible with Claude Code’s SKILL.md format for structured skill definitions.
  • Monitors overall AI setups for operational oversight.
  • Identifies cost metrics associated with AI tool usage.
  • Identifies performance metrics to evaluate efficiency.
  • Provides insights into usage patterns to optimize workflows.
  • Uncovers potential blind spots in AI setup configurations.

use cases

Who Should Use SkillKeeper?

SkillKeeper is primarily designed for AI developers and researchers who require detailed monitoring and analysis of their local AI environments.

  • AI developers: For tracking specific AI skills and agent performance across development sessions.
  • AI researchers: For monitoring session costs and performance metrics in experimental setups.
  • Individuals managing local AI setups: For gaining insights into usage patterns and identifying inefficiencies.
  • Users of Claude Code’s SKILL.md format: For seamless integration and tracking of defined skills.

how to use

How to Use SkillKeeper

To begin using SkillKeeper, users install the macOS application and configure it to monitor their AI sessions. The application then automatically tracks specified metrics.

  • 1Download and install the SkillKeeper application on a macOS device.
  • 2Configure the application to monitor relevant AI setups, agents, and tools.
  • 3Utilize the integrated tracking features to log session data.
  • 4Review the provided analytics for insights into cost, performance, and usage patterns.
  • 5Leverage compatibility with Claude Code’s SKILL.md format for structured skill tracking.

pricing

SkillKeeper Pricing & Plans

SkillKeeper offers a free version for basic usage and a paid version available as a one-time purchase, which includes lifetime updates.

  • Free Version: Provides core functionalities for monitoring AI setups.
  • Paid Version: $19 (one-time purchase), includes all features and lifetime updates.

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Pros

  • +Local-first design ensures data privacy and user control.
  • +One-time purchase model with lifetime updates offers long-term value.
  • +Specific tracking of AI skills, agents, and tools provides targeted insights.
  • +Compatibility with Claude Code’s SKILL.md format streamlines skill management.
  • +Detailed cost and performance metrics aid in optimizing AI setups.

Cons

  • −Limited to macOS platform, excluding users on Windows or Linux.
  • −Primarily focused on local AI setups, not suitable for cloud-native AI deployments.
  • −Specific integration with Claude Code’s SKILL.md format may limit broader compatibility.

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