Tessl
UnclaimedThe package manager for agent skills, enabling discovery, evaluation, and sharing of AI agent capabilities.
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TL;DR - Tessl
- Package manager for AI agent skills.
- Evaluates skills from public GitHub repositories.
- Maintains an open registry for sharing and discovery.
Pricing: Free forever
Best for: Individuals & startups
Pros & Cons
Pros
- Simplifies discovery of AI agent skills
- Provides performance insights for skill evaluation
- Fosters community contribution through an open registry
- No sign-up required to evaluate skills
- Acts as a due diligence tool for code reuse
Cons
- Limited to public GitHub repositories
- Information on specific evaluation metrics is not detailed
Preview
Key Features
Scan public GitHub repositories for skillsAnalyze code to surface discrete skillsEvaluate skill performanceAdd skills to an open, public registryInstall and test skills from the registryNo sign-up required for skill evaluation
Pricing
Free
Tessl is completely free to use with no hidden costs.
About Tessl
By Toolradar Team·
Tessl is an open registry and package manager specifically designed for AI agent skills. It allows developers to evaluate and share discrete, reusable skills found within public GitHub repositories. By simply pasting a GitHub repository URL, Tessl analyzes the code, identifies the skills it contains, and provides performance insights.
This platform is for developers and AI practitioners who want to discover, assess, and integrate pre-built AI agent capabilities into their projects. It acts as a due diligence tool for evaluating code before use and fosters community contribution by making evaluated skills publicly available. The core benefit is simplifying the process of finding and validating AI agent skills, promoting reusability and accelerating development.
How we evaluate tools →Source: tessl.io
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Tessl FAQ
What is the primary purpose of Tessl's skill evaluation feature?
Tessl's skill evaluation feature helps developers identify issues like token inefficiency or incorrect output in agent skills early on. This process saves time and computational resources by catching problems before they escalate.
How does Tessl facilitate the evaluation of public agent skills found on GitHub?
Developers can paste a public GitHub repository URL into Tessl, which then automatically scans the skill. After evaluation, the skill is added to an open registry, making it discoverable and installable by other developers.
Can Tessl evaluate agent skills that are still under development or are part of a private repository?
Yes, Tessl supports the evaluation of local skills, private repositories, and work-in-progress skills directly from a developer's machine. This is done by running a review via the command-line interface, ensuring results remain private to the user.
What is the core philosophy behind Tessl's approach to software development in the age of AI?
Tessl believes that software development needs to shift its focus from code to intent and taste, especially with agents commoditizing coding. The platform aims to provide tools for AI-native software development, enabling bigger, smarter systems and empowering developers.
Who are some of the key individuals leading Tessl?
Tessl is led by a team with extensive experience in developer tools and scaling startups. Key figures include Guy Podjarny as Founder & CEO, Dru Knox as Head of Product, and Maurilio Cometto as Head of Engineering.
Source: tessl.io